High-reward, high-risk technologies? An ethical and legal account of AI development in healthcare | BMC Medical Ethics
Nazar M, Alam MM, Yafi E, Su’ud MM. A Systematic Review of Human–Computer Interaction and Explainable Artificial Intelligence in Healthcare With Artificial Intelligence Techniques. IEEE Access. 2021;9:153316–48.
Google Scholar
Azencott CA. Machine learning and genomics: precision medicine versus patient privacy. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences [Internet]. 2018 Sep 13 [cited 2022 Dec 15]; Available from: https://doi.org/10.1098/rsta.2017.0350
Dilsizian SE, Siegel EL. Artificial intelligence in medicine and cardiac imaging: harnessing big data and advanced computing to provide personalized medical diagnosis and treatment. Curr Cardiol Rep. 2014;16(1):441.
Google Scholar
Ramesh AN, Kambhampati C, Monson JRT, Drew PJ. Artificial intelligence in medicine. Ann R Coll Surg Engl. 2004;86(5):334–8.
Google Scholar
Somashekhar SP, Sepúlveda MJ, Puglielli S, Norden AD, Shortliffe EH, Rohit Kumar C, et al. Watson for Oncology and breast cancer treatment recommendations: agreement with an expert multidisciplinary tumor board. Ann Oncol. 2018;29(2):418–23.
Google Scholar
Li Y. Research and Application of Deep Learning in Image Recognition. In: 2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) [Internet]. 2022. pp. 994–9. Available from: https://doi.org/10.1093/annonc/mdx781
Amato F, López A, Peña-Méndez EM, Vaňhara P, Hampl A, Havel J. Artificial neural networks in medical diagnosis. J Appl Biomed. 2013;11(2):47–58.
Google Scholar
Motulsky A, Nikiema JN, Després P, Castonguay A, Cousineau M, Martineau JT et al. Promesses de l’IA en santé [Internet]. Québec: Observatoire international sur les impacts sociétaux de l’IA et du numérique; 2022 Oct [cited 2023 Oct 18]. Available from: https://docdro.id/OGeIz8c
Lawson BE, Atakan Varol H, Sup F, Goldfarb M. Stumble detection and classification for an intelligent transfemoral prosthesis. In: 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology [Internet]. 2010. pp. 511–4. Available from: https://doi.org/10.1109/IEMBS.2010.5626021
Aristidou A, Jena R, Topol EJ. Bridging the chasm between AI and clinical implementation. Lancet. 2022;399(10325):620.
Google Scholar
Ferryman K. Rethinking the AI Chasm. Am J Bioeth. 2022;22(5):29–30.
Google Scholar
Karpathakis K, Morley J, Floridi L. A Justifiable Investment in AI for Healthcare: Aligning Ambition with Reality [Internet]., Rochester NY. 2024 [cited 2024 Aug 15]. Available from: https://papers.ssrn.com/abstract=4795198
Régis C, Laverdiere M. Soutenir l’encadrement des pratiques professionnelles en matière d’intelligence artificielle dans le secteur de la santé et des relations humaines: Proposition d’un prototype de code de déontologie [Internet]. Montreal: University of Montreal H-POD; 2023 [cited 2023 Sep 8] p. 36. Available from: https://www.docdroid.net/dNycfuv/document-final-iacodedeontologiesante-pdf
OECD. OECD Framework for the Classification of AI systems [Internet]. 2022. Available from: https://www.oecd-ilibrary.org/content/paper/cb6d9eca-en
OECD. Artificial Intelligence in Society [Internet]. 2019. Available from: https://www.oecd-ilibrary.org/content/publication/eedfee77-en
OECD. Explanatory memorandum on the updated OECD definition of an AI system [Internet]. Paris: OECD. 2024 Mar [cited 2024 Aug 16]. Available from: https://www.oecd-ilibrary.org/science-and-technology/explanatory-memorandum-on-the-updated-oecd-definition-of-an-ai-system_623da898-en
Tan P, Xi Y, Chao S, Jiang D, Liu Z, Fan Y, et al. An Artificial Intelligence-Enhanced Blood Pressure Monitor Wristband Based on Piezoelectric Nanogenerator. Biosens (Basel). 2022;12(4):234.
Google Scholar
Hussein A, Sallam ME, Abdalla MYA. Exploring New Horizons: Surgical Robots Supported by Artificial Intelligence. Mesopotamian J Artif Intell Healthc. 2023;2023:40–4.
Google Scholar
Min-Allah N, Alahmed BA, Albreek EM, Alghamdi LS, Alawad DA, Alharbi AS, et al. A survey of COVID-19 contact-tracing apps. Comput Biol Med. 2021;137:104787.
Google Scholar
Amisha, Malik P, Pathania M, Rathaur VK. Overview of artificial intelligence in medicine. J Family Med Prim Care. 2019;8(7):2328–31.
Google Scholar
Mintz Y, Brodie R. Introduction to artificial intelligence in medicine. Minim Invasive Therapy Allied Technol. 2019;28(2):73–81.
Google Scholar
Shaheen MY. Applications of Artificial Intelligence (AI) in healthcare: A review. ScienceOpen Preprints [Internet]. 2021 Sep 25 [cited 2024 Aug 4]; Available from: https://www.scienceopen.com/hosted-document?doi=10.14293/S2199-1006.1.SOR-.PPVRY8K.v1
Kimiafar K, Sarbaz M, Tabatabaei SM, Ghaddaripouri K, Mousavi A, Mehneh M, et al. Artificial Intelligence Literacy Among Healthcare Professionals and Students: A Systematic Review. Front Health Inf. 2023;12:168.
Google Scholar
Reddy S, Allan S, Coghlan S, Cooper P. A governance model for the application of AI in health care. J Am Med Inform Assoc. 2020;27(3):491–7.
Google Scholar
AI Index. Report 2023 – Artificial Intelligence Index [Internet]. [cited 2023 Jul 5]. Available from: https://aiindex.stanford.edu/report/
Jobin A, Ienca M, Vayena E. The global landscape of AI ethics guidelines. Nat Mach Intell. 2019;1(9):389–99.
Google Scholar
World Health Organization. WHO guideline. [Internet]. 2019 [cited 2020 Nov 28]. Available from: http://www.ncbi.nlm.nih.gov/books/NBK541902/
The Declaration [Internet]. Déclaration de Montréal IA responsable. [cited 2023 Sep 8]. Available from: https://montrealdeclaration-responsibleai.com/the-declaration/
Google AI. [Internet]. [cited 2023 Sep 8]. Google AI Principles. Available from: https://ai.google/responsibility/principles/
AI Ethics | IBM [Internet]. [cited 2023 Sep 8]. Available from: https://www.ibm.com/topics/ai-ethics
Microsoft Responsible. AI | Microsoft AI [Internet]. [cited 2023 Sep 8]. Available from: https://www.microsoft.com/en-us/ai/responsible-ai
Telia Company [Internet]. [cited 2023 Sep 8]. Available from: https://www.teliacompany.com/en/articles/ai-ethics
Boddington P. Towards a Code of Ethics for Artificial Intelligence [Internet]. Cham: Springer International Publishing; 2017 [cited 2024 Aug 4]. (Artificial Intelligence: Foundations, Theory, and Algorithms). Available from: http://link.springer.com/https://doi.org/10.1007/978-3-319-60648-4
Bouquet B. Éthique et travail social [Internet]. Dunod. Paris: Dunod; 2017 [cited 2023 Jul 5]. 288 p. (Santé Social). Available from: https://www.dunod.com/sciences-humaines-et-sociales/ethique-et-travail-social-une-recherche-du-sens-0
Robles Carrillo M. Artificial intelligence: From ethics to law. Telecomm Policy. 2020;44(6):101937.
Google Scholar
Larose G. Droit, déontologie et éthique clinique. In: Éthique clinique : un guide pour aborder la pratique [Internet]. Montreal: Sainte Justine Hospital; 2015 [cited 2023 Feb 1]. pp. 89–96. (Actions cliniques). Available from: https://scholar.google.com/scholar?hl=fr&as_sdt=0%2C5&q=%C3%89thique+clinique+%3A+un+guide+pour+aborder+la+pratique&btnG=
Pimont M. L’éthique : fondements, approches et applications en santé et services sociaux. Equilibre. 2016;11(1):4–15.
Stanford University Human-centered Artificial Intelligence. Artificial Intelligence Index Report 2024 [Internet]. Stanford University Human-centered Artificial Intelligence; 2024 [cited 2024 Aug 16] p. 502. Report No.: Index. Available from: https://aiindex.stanford.edu/wp-content/uploads/2024/05/HAI_AI-Index-Report-2024.pdf
Dameski A. A Comprehensive Ethical Framework for AI Entities: Foundations. In: Iklé M, Franz A, Rzepka R, Goertzel B, editors. Artificial General Intelligence. Cham: Springer International Publishing; 2018. pp. 42–51.
Google Scholar
Jean A. Une brève introduction à l’intelligence artificielle. Med Sci (Paris). 2020;36(11):1059–67.
Google Scholar
Cai Q, Luo X, Wang P, Gao C, Zhao P. Hybrid model-driven and data-driven control method based on machine learning algorithm in energy hub and application. Appl Energy. 2022;305:117913.
Google Scholar
Anom BY. Ethics of Big Data and artificial intelligence in medicine. Ethics Med Public Health. 2020;15:100568.
Google Scholar
Sharon T, Zandbergen D. From data fetishism to quantifying selves: Self-tracking practices and the other values of data. New Media Soc. 2017;19(11):1695–709.
Google Scholar
Lupton D. The Quantified Self. Wiley; 2016. p. 196.
Walters GJ. Privacy and security: an ethical analysis. SIGCAS Comput Soc. 2001;31(2):8–23.
Google Scholar
Goodman K. Ethics in Health Informatics. Yearbook of Medical Informatics [Internet]. 2020;29. Available from: https://doi.org/10.1055/s-0040-1701966
Beauchamp TL, Childress JF. Principles of Biomedical Ethics [Internet]. Oxford University Press; 2001. 470 p. Available from: https://books.google.ca/books?id=_14H7MOw1o4C
Gillon R. Defending the four principles approach as a good basis for good medical practice and therefore for good medical ethics. J Med Ethics. 2015;41(1):111–6.
Google Scholar
Mokrosinska D. Privacy and Autonomy: On Some Misconceptions Concerning the Political Dimensions of Privacy. Law Philos. 2018;37(2):117–43.
Google Scholar
Koepsell D. Duties of Science to Society (and Vice Versa). In: Koepsell D, editor. Scientific Integrity and Research Ethics: An Approach from the Ethos of Science [Internet]. Cham: Springer International Publishing; 2017 [cited 2023 Jul 5]. pp. 85–95. (SpringerBriefs in Ethics). Available from: https://doi.org/10.1007/978-3-319-51277-8_8
Formarier M. La relation de soin, concepts et finalités. Recherche en soins infirmiers. 2007;89(2):33–42.
Google Scholar
Gerke S, Minssen T, Yu H, Cohen IG. Ethical and legal issues of ingestible electronic sensors. Nat Electron. 2019;2(8):329–34.
Google Scholar
Abdullah YI, Schuman JS, Shabsigh R, Caplan A, Al-Aswad LA. Ethics of Artificial Intelligence in Medicine and Ophthalmology. Asia-Pacific J Ophthalmol. 2021;10(3):289.
Google Scholar
Currie G, Hawk KE. Ethical and Legal Challenges of Artificial Intelligence in Nuclear Medicine. Semin Nucl Med. 2021;51(2):120–5.
Google Scholar
Baker R. Confidentiality in Professional Medical Ethics. Am J Bioeth. 2006;6(2):39–41.
Google Scholar
Protect the public. | Collège des médecins du Québec [Internet]. [cited 2023 Sep 8]. Available from: https://www.cmq.org/en/protect-the-public
Siegler M. Confidentiality in Medicine: A Decrepit Concept. N Engl J Med. 1982;307(24):1518–21.
Google Scholar
Artificial Intelligence [AI] in Healthcare Market Size [Internet]. Fortune Business Insights. 2024 Jul [cited 2024 Aug 16] p. 159. Report No.: FBI100534 Source: Available from: https://www.fortunebusinessinsights.com/industry-reports/artificial-intelligence-in-healthcare-market-100534
Henderson B, Flood C, Scassa T. Artificial Intelligence in Canadian Healthcare: Will the Law Protect Us from Algorithmic Bias Resulting in Discrimination? Can J Law Technol. 2022;19(2):475.
Amann J, Blasimme A, Vayena E, Frey D, Madai VI. the Precise4Q consortium. Explainability for artificial intelligence in healthcare: a multidisciplinary perspective. BMC Med Inf Decis Mak. 2020;20(1):310.
Google Scholar
Sharon T. The Googlization of health research: from disruptive innovation to disruptive ethics. Per Med. 2016;13(6):563–74.
Google Scholar
Rumbold JMM, Pierscionek BK. A critique of the regulation of data science in healthcare research in the European Union. BMC Med Ethics. 2017;18(1):27.
Google Scholar
Spiekermann S, Korunovska J, Langheinrich M. Inside the Organization: Why Privacy and Security Engineering Is a Challenge for Engineers. Proc IEEE. 2019;107(3):600–15.
Google Scholar
U.S. HIPAA Privacy Rule [Internet]. U.S. Code of Federal Regulations. Section 160.103; 164.508. Available from: https://www.ecfr.gov/current/title-45/part-160
Australian Privacy Act [Internet]. Australian Federal Register of Legislation, 119 1988. Available from: https://www.oaic.gov.au/privacy/privacy-legislation/the-privacy-act
French Data Protection Authority. (Commission nationale de l’informatique et des libertés). Cnil.fr. [cited 2023 Oct 13]. What is health information ? / Qu’est-ce ce qu’une donnée de santé ? https://www.cnil.fr/fr/quest-ce-ce-quune-donnee-de-sante
Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April. 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation) [Internet]. OJ L, (EU) 2016/679 Apr 27, 2016. Available from: https://eur-lex.europa.eu/eli/reg/2016/679/oj
Pesapane F, Volonté C, Codari M, Sardanelli F. Artificial intelligence as a medical device in radiology: ethical and regulatory issues in Europe and the United States. Insights Imaging. 2018;9(5):745–53.
Google Scholar
California Consumer Privacy Act [Internet]. California Civil Code. Section 1798.100–1798.199.100. Available from: https://leginfo.legislature.ca.gov/faces/codes_displaySection.xhtml?lawCode=CIV§ionNum=1798.140
An Act to modernize legislative provisions as regards the protection of personal information [Internet]. RLRQ, c. 25 Sep 22. 2021. Available from: https://www.canlii.org/en/qc/laws/astat/sq-2021-c-25/latest/sq-2021-c-25.html
Quebec Act respecting the protection. of personal information in the private sector [Internet]. Sect. chapter P-39.1 p. preprint 12–1. Available from: https://www.legisquebec.gouv.qc.ca/en/document/cs/p-39.1
Quebec Act respecting Access to documents held by public bodies. and the Protection of personal information [Internet]. Sect. chapter A-2.1 p. preprint 65.2. Available from: https://www.legisquebec.gouv.qc.ca/en/document/cs/A-2.1
Christman J. Autonomy in Moral and Political Philosophy. In: The Stanford Encyclopedia of Philosophy [Internet]. Fall 2020. Stanford: Metaphysics Research Lab, Stanford University; 2020 [cited 2023 Sep 8]. Available from: https://plato.stanford.edu/archives/fall2020/entries/autonomy-moral/
Miquel PA. Respect et inviolabilité du corps humain. Noesis. 2007;(12):239–63.
Erasmus A, Brunet TDP, Fisher E. What is Interpretability? Philos Technol. 2021;34(4):833–62.
Google Scholar
Faden RR. King TLBI collaboration with NMP. A History and Theory of Informed Consent [Internet]. Oxford, New York: Oxford University Press; 1986. 408 p. Available from: https://books.google.ca/books?hl=fr&lr=&id=jgi7OWxDT9cC&oi=fnd&pg=PA3&dq=A+History+and+Theory+of+Informed+Consent&ots=ZiOTZYXiQ8&sig=4Ytxls3xoQBerh3ruGkCKSZTLf8&redir_esc=y#v=onepage&q=A%20History%20and%20Theory%20of%20Informed%20Consent&f=false
Cordeiro JV. Digital Technologies and Data Science as Health Enablers: An Outline of Appealing Promises and Compelling Ethical, Legal, and Social Challenges. Frontiers in Medicine [Internet]. 2021 [cited 2022 Dec 15];8. Available from: https://www.frontiersin.org/articles/https://doi.org/10.3389/fmed.2021.647897
Porsdam Mann S, Savulescu J, Sahakian BJ. Facilitating the ethical use of health data for the benefit of society: electronic health records, consent and the duty of easy rescue. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2016;374(2083):20160130.
Pham A, Rubel A, Castro C, editors. Autonomy, Agency, and Responsibility. In: Algorithms and : The Ethics of Automated Decision Systems [Internet]. Cambridge: Cambridge University Press; 2021 [cited 2024 Aug 5]. pp. 21–42. Available from: https://www.cambridge.org/core/books/algorithms-and-autonomy/autonomy-agency-and-responsibility/BA4D809382F63A0DB4F9549EE9E99641
Duguet J, Chassang G, Béranger J, Enjeux. répercussions et cadre éthique relatifs à l’Intelligence Artificielle en santé. Vers une Intelligence Artificielle éthique en médecine. Droit, Santé et Société. 2019;3(3):30–9.
de Marcellis-Warin N, Marty F, Thelisson E, Warin T. Intelligence artificielle et manipulations des comportements de marché : l’évaluation ex ante dans l’arsenal du régulateur. Revue Int de droit économique. 2020;t XXXIV(2):203–45.
SUNSTEIN CR. Sludge Audits. Behavioural Public Policy. 2020/01/06 ed. 2022;6(4):654–73.
Birhane A. Algorithmic injustice: a relational ethics approach. Patterns. 2021;2(2):100205.
Google Scholar
Abeezar S. Consent requires more than respect for autonomy [Internet]. Journal of Medical Ethics blog. 2021 [cited 2023 Sep 8]. Available from: https://blogs.bmj.com/medical-ethics/2021/08/27/consent-requires-more-than-respect-for-autonomy/
Cohen IG. Informed Consent and Medical Artificial Intelligence: What to Tell the Patient? the georgetown law journal [Internet]. 108. Available from: https://scholar.google.com/scholar?hl=fr&as_sdt=0%2C5&q=%22Informed+Consent+and+Medical+Artificial+Intelligence%3A+What+to+Tell+the+Patient%3F%22&btnG=.
Philips-Nootens S, Kouri RP. Éléments de responsabilité civile médicale – Le droit dans le quotidien de la médecine [Internet]. 5ème. Éditions Yvon Blais; 2022 [cited 2023 Sep 8]. Available from: https://www.wilsonlafleur.com/wilsonlafleur/CatDetails.aspx?C=347.527.22
Shearer E, Cho M, Magnus D. Chapter 23 – Regulatory, socithical, and legal issues of artificial intelligence in medicine. In: Xing L, Giger ML, Min JK, editors. Artificial Intelligence in Medicine [Internet]. Academic Press; 2021 [cited 2022 Dec 15]. pp. 457–77. Available from: https://www.sciencedirect.com/science/article/pii/B9780128212592000235
Turner BAL, Rainie M, Anderson A, Perrin. Madhu Kumar and Erica. Americans and Privacy: Concerned, Confused and Feeling Lack of Control Over Their Personal Information [Internet]. Pew Research Center. 2019 [cited 2024 Aug 16]. Available from: https://www.pewresearch.org/internet/2019/11/15/americans-and-privacy-concerned-confused-and-feeling-lack-of-control-over-their-personal-information/
Viard-Guillot L. 82% des internautes protègent leurs données personnelles en ligne – Insee Focus – 272 [Internet]. 2022 [cited 2024 Aug 16]. Available from: https://www.insee.fr/fr/statistiques/6475020
Dufresne Y, Dumouchel D, Poirier W. Fondements de l’acceptabilité sociale des applications de traçage en temps de pandémie- technophobie, crainte sanitaire ou idéologie démocratique [Internet]. International Observatory on the societal impacts of AI and digital technology; 2021 Jun [cited 2023 Sep 8]. Available from: https://www.docdroid.com/8B7QzzK/fondements-de-lacceptabilite-sociale-des-applications-de-tracage-en-temps-de-pandemie-technophobie-crainte-sanitaire-ou-ideologie-democratique-pdf
Crichton C. L’intelligence artificielle dans la révision de la loi bioéthique – IP/IT et Communication | Dalloz Actualité [Internet]. Dalloz Actualité IP/IT. 2021 [cited 2023 Sep 8]. Available from: https://www.dalloz-actualite.fr/node/l-intelligence-artificielle-dans-revision-de-loi-bioethique
Besse P, Besse-Patin A, Castets-Renard C. Implications juridiques et éthiques des algorithmes d’intelligence artificielle dans le domaine de la santé. Statistique et Société. 2020;8(3):21–53.
Google Scholar
Wiens J, Saria S, Sendak M, Ghassemi M, Liu VX, Doshi-Velez F, et al. Do no harm: a roadmap for responsible machine learning for health care. Nat Med. 2019;25(9):1337–40.
Google Scholar
Crawford K, Miltner K, Gray M. Critiquing Big Data: Politics Ethics Epistemology (2014) International Journal of Communication 8 1663; Boyd D Crawford K ‘Critical Questions for Big Data: Provocations for a Cultural Technological and Scholarly Phenomenon. Information, Communication & Society. 2012;15(5):662.
Abràmoff MD, Tobey D, Char DS. Lessons Learned About Autonomous AI: Finding a Safe, Efficacious, and Ethical Path Through the Development Process. Am J Ophthalmol. 2020;214:134–42.
Google Scholar
Joyce K, Smith-Doerr L, Alegria S, Bell S, Cruz T, Hoffman SG, et al. Toward a Sociology of Artificial Intelligence: A Call for Research on Inequalities and Structural Change. Socius. 2021;7:2378023121999581.
Google Scholar
Chen S, Bergman D, Miller K, Kavanagh A, Frownfelter J, Showalter J. Using applied machine learning to predict healthcare utilization based on socioeconomic determinants of care. Am J Manag Care. 2020;26(1):26–31.
Google Scholar
Onukwugha E, Duru OK, Peprah E, Foreword. Big Data and Its Application in Health Disparities Research. Ethn Dis 27(2):69–72.
Buolamwini J, Gebru T. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. In: Proceedings of the 1st Conference on Fairness, Accountability and Transparency [Internet]. PMLR; 2018 [cited 2024 Aug 16]. pp. 77–91. Available from: https://proceedings.mlr.press/v81/buolamwini18a.html
Khaitan T. A Theory of Discrimination Law [Internet]. Oxford, New York: Oxford University Press; 2015. 288 p. Available from: https://books.google.ca/books?hl=fr%26lr=%26id=HwjHCQAAQBAJ%26oi=fnd%26pg=PP1%26dq=A+Theory+of+Discrimination+Law%26ots=S_9upVam-5%26sig=5-iB_YYtRfeBMQR3-LacAT64UGw%26redir_esc=y#v=onepage%26q=A%20Theory%20of%20Discrimination%20Law%26f=false
www.mipex.eu [Internet]. [cited 2023 Sep 8]. Anti-discrimination – MIPEX 2020. Available from: https://www.mipex.eu/anti-discrimination
Li Vigni F, Chapitre. 1. Les théories de la complexité : un essai de mise en ordre. In: Histoire et sociologie des sciences de la complexité [Internet]. Paris: Éditions Matériologiques; 2022. pp. 17–44. (Modélisations, simulations, systèmes complexes). Available from: https://www.cairn.info/histoire-et-sociologie-des-sciences–9782373613346-p-17.htm
Sabouret N. The Conversation. 2020 [cited 2023 Sep 8]. Why Artificial Intelligence Gets It Wrong All the Time. Available from: http://theconversation.com/pourquoi-lintelligence-artificielle-se-trompe-tout-le-temps-143019
Todisco I, Giglio GEM, Zerlenga O. Automatic Image Recognition. Applications to Architecture. In: Luigini A, editor. Proceedings of the 1st International and Interdisciplinary Conference on Digital Environments for Education, Arts and Heritage [Internet]. Cham: Springer International Publishing; 2019. pp. 106–15. (Advances in Intelligent Systems and Computing). Available from: https://doi.org/10.1007/978-3-030-12240-9_12
Heaven D. Why deep-learning AIs are so easy to fool. Nature. 2019;574(7777):163–6.
Google Scholar
Finlayson SG, Bowers JD, Ito J, Zittrain JL, Beam AL, Kohane IS. Adversarial attacks on medical machine learning. Science. 2019;363(6433):1287–9.
Google Scholar
Ozturk A. Lessons Learned from Robotics and AI in a Liability Context: A Sustainability Perspective. In: Carpenter A, Johansson TM, Skinner JA, editors. Sustainability in the Maritime Domain: Towards Ocean Governance and Beyond [Internet]. Cham: Springer International Publishing; 2021 [cited 2023 Feb 2]. pp. 315–35. (Strategies for Sustainability). Available from: https://doi.org/10.1007/978-3-030-69325-1_16
Bond RR, Novotny T, Andrsova I, Koc L, Sisakova M, Finlay D, et al. Automation bias in medicine: The influence of automated diagnoses on interpreter accuracy and uncertainty when reading electrocardiograms. J Electrocardiology. 2018;51(6, Supplement):S6–11. https://doi.org/10.1016/j.jelectrocard.2018.08.007.
Lyell D, Magrabi F, Raban MZ, Pont LG, Baysari MT, Day RO, et al. Automation bias in electronic prescribing. BMC Med Inform Decis Mak. 2017;17(1):28. https://doi.org/10.1186/s12911-017-0425-5.
O’Sullivan S, Nevejans N, Allen C, Blyth A, Leonard S, Pagallo U, et al. Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery. Int J Med Rob Comput Assist Surg. 2019;15(1):e1968.
Google Scholar
Gracia D. The Foundation of Medical Ethics in the Democratic Evolution of Modern Society. In: Thomasma DC, Weisstub DN, Kushner TK, Viafora C, editors. Clinical Bioethics: A Search for the Foundations [Internet]. Dordrecht: Springer Netherlands; 2005 [cited 2023 Sep 8]. pp. 33–40. (International Library of Ethics, Law, and the New Medicine). Available from: https://doi.org/10.1007/1-4020-3593-4_3
World Health Organization. Ethics and governance of artificial intelligence for health [Internet]. Geneva: World Health Organization. 2021 [cited 2023 Feb 1]. Available from: https://www.who.int/publications-detail-redirect/9789240029200
Canada H. Good machine learning practice for medical device development: Guiding principles [Internet]. 2021 [cited 2023 Sep 8]. Available from: https://www.canada.ca/en/health-canada/services/drugs-health-products/medical-devices/good-machine-learning-practice-medical-device-development.html
Cousineau M, Castonguay A, Définitions. et usages de l’IA en santé [Internet]. Montréal: International Observatory on the societal impacts of AI and digital technology; 2022 Mar [cited 2023 Sep 8]. Available from: https://www.docdroid.com/X6knvzZ/definitions-et-usages-de-lia-en-sante-pdf
Enarsson T, Enqvist L, Naarttijärvi M. Approaching the human in the loop – legal perspectives on hybrid human/algorithmic decision-making in three contexts. Inform Commun Technol Law. 2022;31(1):123–53.
Google Scholar
Proposal for a Regulation of the European Parliament and of the Council laying down harmonised rules on Artificial Intelligence. (Artificial Intelligence Act) and amending certain Union Legislative Acts [Internet]. COM/2021/206 final 2021. Available from: https://eur-lex.europa.eu/legal-content/EN/ALL/?uri=CELEX%3A52021PC0206
Tessier C. Éthique et IA: analyse et discussion. In: PFIA 2021 [Internet]., Bordeaux F. 2021 [cited 2023 Sep 8]. Available from: https://hal.science/hal-03280105
Brundage M, Avin S, Jack Clark H, Toner P, Eckersley, Garfinkel B et al. The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation [Internet]. Future of Humanity Institute; University of Oxford; Centre for the Study of Existential Risk; University of Cambridge; Center for a New American Security Electronic Frontier Foundation; OpenAI; 2018 Feb [cited 2022 Dec 15] p. 99. Available from: https://arxiv-org.ezproxy.u-paris.fr/pdf/1802.07228.pdf&sa=D&ust=1550739471109000.pdf
Evans B, Ossorio P. The Challenge of Regulating Clinical Decision Support Software After 21st Century Cures. Am J Law Med. 2018;44(2–3):237–51.
Google Scholar
Health C, for D. and R. Artificial Intelligence and Machine Learning in Software as a Medical Device. FDA [Internet]. 2023 Apr 8 [cited 2023 Sep 8]; Available from: https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-software-medical-device
Health C, for D. and R. Artificial Intelligence and Machine Learning (AI/ML)-Enabled Medical Devices. FDA [Internet]. 2022 May 10 [cited 2023 Sep 8]; Available from: https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-aiml-enabled-medical-devices
FDA. Proposed Regulatory Framework for modifications to Artificial Intelligence/Machine Learning (AI/ML) based software as a medical device (SaMD) [Internet]. U.S. Food and Drug Administration; [cited 2023 Sep 8]. Available from: https://www.fda.gov/media/122535/download
U.S. Food and Drug Administration. Artificial Intelligence & Medical Products: How CBER, CDER, CDRH, and OCP are Working Together [Internet]. Silver Spring, Maryland: U.S. Food and Drug Administration; 2024 Mar [cited 2024 Aug 16] p. 7. Available from: https://www.fda.gov/media/177030/download?attachment
Régis C, Flood CM. AI and Health Law [Internet]., Rochester NY. 2021 [cited 2023 Sep 8]. Available from: https://papers.ssrn.com/abstract=3733964
Schönberger D. Artificial intelligence in healthcare: a critical analysis of the legal and ethical implications. Int J Law Inform Technol. 2019;27(2):171–203.
Google Scholar
Working group on 28th measure. Créer les conditions d’un développement vertueux des objets connectés et des applications mobiles en santé [Internet]. French Ministry of Health; 2016 Oct [cited 2023 Sep 8]. Report No.: GT 28 CSF. Available from: https://sante.gouv.fr/IMG/pdf/rapport-gt28-octobre-2016-vf-full.pdf
The Artificial Intelligence and Data Act (AIDA) [Internet]. Canadian Government. 2023 Mar [cited 2023 Sep 8]. Available from: https://ised-isde.canada.ca/site/innovation-better-canada/en/artificial-intelligence-and-data-act-aida-companion-document
Yoon JH, Kim EK. Deep Learning-Based Artificial Intelligence for Mammography. Korean J Radiol. 2021;22(8):1225–39.
Google Scholar
Seibold M, Maurer S, Hoch A, Zingg P, Farshad M, Navab N, et al. Real-time acoustic sensing and artificial intelligence for error prevention in orthopedic surgery. Sci Rep. 2021;11(1):3993.
Google Scholar
Snyder B. Our Misplaced Fear of Job-Stealing Robots [Internet]. Stanford Graduate School of Business. 2019 [cited 2023 Sep 8]. Available from: https://www.gsb.stanford.edu/insights/misplaced-fear-job-stealing-robots
Bettache M, Foisy L. Intelligence artificielle et transformation des emplois. Question(s) de Manage. 2019;25(3):61.
Google Scholar
Mazurowski MA. Artificial Intelligence May Cause a Significant Disruption to the Radiology Workforce. J Am Coll Radiol. 2019;16(8):1077–82.
Google Scholar
Benhamou S, Janin L. Intelligence artificielle et travail [Internet]. Paris, France: France Stratégie; 2018 [cited 2023 Sep 8]. Available from: https://www.strategie.gouv.fr/publications/intelligence-artificielle-travail
Schwendicke F, Samek W, Krois J. Artificial Intelligence in Dentistry: Chances and Challenges. J Dent Res. 2020;99(7):769–74.
Google Scholar
PARO Therapeutic Robot [Internet]. [cited 2023 Sep 8]. Available from: http://www.parorobots.com/
Artificial Intelligence and Employment [Internet]. OECD. 2021 Dec [cited 2023 Sep 8]. Available from: https://www.oecd.org/future-of-work/reports-and-data/AI-Employment-brief-2021.pdf
Ellahham S. Artificial Intelligence: The Future for Diabetes Care. Am J Med. 2020;133(8):895–900.
Google Scholar
Jarrahi MH. the age of the smart artificial intelligence: AI’s dual capacities for automating and informating work. Bus Inform Rev. 2019;36(4):178–87.
Google Scholar
Chen Y, Stavropoulou C, Narasinkan R, Baker A, Scarbrough H. Professionals’ responses to the introduction of AI innovations in radiology and their implications for future adoption: a qualitative study. BMC Health Serv Res. 2021;21(1):813.
Google Scholar
Bernier J. L’intelligence artificielle et les mondes du travail. Perspectives sociojuridiques et enjeux éthiques. Presses de l’Université Laval; 2021. p. 232.
IA et emploi en santé : quoi de neuf docteur ? [Internet]. Paris, France: Institut Montaigne; 2019 Jan [cited 2023 Sep 8]. Available from: https://www.institutmontaigne.org/ressources/pdfs/publications/ia-et-emploi-en-sante-quoi-de-neuf-docteur-note.pdf
Hamoni R, Lin O, Matthews M, Taillon PJ. Construire la future main-d’œuvre canadienne dans le domaine de l’intelligence artificielle [Internet]. Ottawa, Canada: Conseil des technologies de l’information et des communications; [cited 2023 Sep 8]. Available from: https://www.ictc-ctic.ca/wp-content/uploads/2021/03/ICTC_Report_Building_FRE.pdf
Dupuis M, Hesbeen W. L’éthique organisationnelle dans le secteur de la santé: Ressources et limites contextuelles des pratiques soignantes [Internet]. 1er édition. Paris: SELI ARSLAN; 2014. 182 p. Available from: https://scholar.google.com/scholar?hl=fr&as_sdt=0%2C5&q=L%27%C3%A9thique+organisationnelle+dans+le+secteur+de+la+sant%C3%A9%3A+Ressources+et+limites+contextuelles+des+pratiques+soignantes+Poche+%E2%80%93+14+mai+2014&btnG=.
Décret n°2016 – 1672 du 5 décembre 2016 relatif aux actes et activités réalisés par les manipulateurs d’électroradiologie médicale [Internet]. 2016–1672 Dec 5, 2016. Available from: https://www.legifrance.gouv.fr/jorf/id/JORFTEXT000033537927
Ho MT, Le NTB, Mantello P, Ho MT, Ghotbi N. Understanding the acceptance of emotional artificial intelligence in Japanese healthcare system: A cross-sectional survey of clinic visitors’ attitude. Technol Soc. 2023;72:102166.
Google Scholar
Tomašev N, Glorot X, Rae JW, Zielinski M, Askham H, Saraiva A, et al. A clinically applicable approach to continuous prediction of future acute kidney injury. Nature. 2019;572(7767):116–9.
Google Scholar
Fernandes M, Vieira SM, Leite F, Palos C, Finkelstein S, Sousa JMC. Clinical Decision Support Systems for Triage in the Emergency Department using Intelligent Systems: a Review. Artif Intell Med. 2020;102:101762.
Google Scholar
Goldstein A, Shahar Y. An automated knowledge-based textual summarization system for longitudinal, multivariate clinical data. J Biomed Inform. 2016;61:159–75.
Google Scholar
Gray K, Slavotinek J, Dimaguila GL, Choo D. Artificial Intelligence Education for the Health Workforce: Expert Survey of Approaches and Needs. JMIR Med Educ. 2022;8(2):e35223.
Google Scholar
Laï MC, Brian M, Mamzer MF. Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France. J Translational Med. 2020;18(1):14.
Google Scholar
Teng M, Singla R, Yau O, Lamoureux D, Gupta A, Hu Z, et al. Health Care Students’ Perspectives on Artificial Intelligence: Countrywide Survey in Canada. JMIR Med Educ. 2022;8(1):e33390.
Google Scholar
Harish V, Bilimoria K, Mehta N, Morgado F, Aissiou A, Eaton S et al. Preparing Medical Students for the Impact of Artificial Intelligence on Healthcare [Internet]. Canadian Federation of Medical Students; Available from: https://www.cfms.org/files/position-papers/AGM_2020_CFMS_AI.pdf
Wilson R, Bennett J. RNAO-AMS_Report-Nursing_and_Compassionate_Care_in_the_Age_of_AI_Final_For_Media_Release_10.21.2020.pdf [Internet]. Associated Medical Services (AMS) Healthcare; [cited 2023 Sep 8]. Available from: https://rnao.ca/sites/rnao-ca/files/RNAO-AMS_Report-Nursing_and_Compassionate_Care_in_the_Age_of_AI_Final_For_Media_Release_10.21.2020.pdf
Council on Medical Education. Report 4 on Augmented Intelligence in Medical Education (Resolution 317-A-18) [Internet], American Medical Association. 2019. Report No.: CME Report 4-A-19. Available from: https://www.ama-assn.org/system/files/cme-report-4-a19-annotated.pdf
Reznick RK, Ken H, Tanya H, Mohsen Sheikh H. Task Force Report on Artificial Intelligence and Emerging Digital Technologies [Internet]. Royal Collee of Physicians and Surgeons of Canada; 2020 Feb [cited 2023 Sep 8]. Available from: https://www.royalcollege.ca/ca/en/health-policy/initiatives-driven-by-research/ai-task-force.html
Zouinar M. Évolutions de l’Intelligence Artificielle : quels enjeux pour l’activité humaine et la relation Humain–Machine au travail ? Activités [Internet]. 2020 Apr 15 [cited 2023 Sep 8];(17–1). Available from: https://journals.openedition.org/activites/4941
Cléret M, Le Beux P, Le Duff F. Les systèmes d’aide à la décision médicale. Les Cahiers du numérique. 2001;2(2):125–54.
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