Abstract
AI has developed from a basic set of "if, then rules" to more sophisticated algorithms that function similar to the human brain. Applications of AI in medicine have grown since the introduction of ML and DL, opening the door to individualised treatment rather than medicine just based on algorithms. The application of AI in medicine is in both diagnostics and surgery. This paper helps analyse the role of Artificial Intelligence in healthcare especially diagnostics and surgery. It also explores the role of AI in medical negligence. Part 1 talks about the application of ML and DL in healthcare, Part 2 analyses the test for medical negligence and Part 3 analyses the coexistence of AI and medical negligence. Part 4 examines the inclusion of innovation in AI in the tort of medical negligence. Lastly, Part 5 examines the ways in which liability can be assigned and provides for a theoretical framework. The paper concludes by providing a suggestion that the standard of care principles in the common law tort of negligence must offer a fault-based system which is sufficiently adaptable to allow for the application of developments in AI in healthcare and addresses the problems that arise as the technology advances.
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References
Abhinav, G.V.K.S., and S. Naga Subrahmanyam. 2019. Artificial Intelligence in Healthcare. Journal of Drug Delivery and Therapeutics 9: 164–166. https://doi.org/10.22270/jddt.v9i5-s.3634.
Anaya-Isaza, Andrés, Leonel Mera-Jiménez, and Martha Zequera-Diaz. 2021. An Overview of Deep Learning in Medical Imaging. Informatics in Medicine Unlocked 26: 100723. https://doi.org/10.1016/j.imu.2021.100723.
Angle, James. 2022. Artificial Intelligence in Healthcare. https://www.researchgate.net/publication/357635116_Artificial_Intelligence_in_Healthcare
Arterys 2023, ‘Medical Imaging Cloud AI for Radiology,’ https://www.arterys.com/, accessed 7 April 2023.
Beauchamp, Tom L., and James F. Childress. 2001. Principles of Biomedical Ethics. Oxford University Press.
Beckers, Anna, and Gunther Teubner. 2022. Three Liability Regimes for Artificial Intelligence: Algorithmic Actants, Hybrids. Crowds: Hart Publishing.
Bolam v. Friern Hospital Management Committee [1957] 1 WLR 582, 587.
Bolitho v City and Hackney Health Authority [1998] AC 232.
Brownsword, Roger. 2020. Law 3.0: Rules, Regulation, and Technology. London: Routledge. https://doi.org/10.4324/9781003053835.
Bryden, Daniele, and Ian Storey. 2011. Duty of care and medical negligence. Continuing Education in Anaesthesia Critical Care & Pain 11: 124–127. https://doi.org/10.1093/bjaceaccp/mkr016.
Cauffman, Caroline. 2018. Robo-liability: The European Union in search of the best way to deal with liability for damage caused by artificial intelligence. Maastricht Journal of European and Comparative Law 25. SAGE Publications Ltd: 527–532. https://doi.org/10.1177/1023263X18812333.
Cheng, Qiangli, and Yajun Dong. 2022. Da Vinci Robot-Assisted Video Image Processing Under Artificial Intelligence Vision Processing Technology. Computational and Mathematical Methods in Medicine 2022: 2752444. https://doi.org/10.1155/2022/2752444.
Chinen, Mark. 2019. Law and Autonomous Machines. Cheltenham: Edward Elgar Publishing.
Cui, Miao, and David Y. Zhang. 2021. Artificial intelligence and computational pathology. Laboratory Investigation; a Journal of Technical Methods and Pathology 101: 412–422. https://doi.org/10.1038/s41374-020-00514-0.
Da Vinci Surgery | Da Vinci Surgical System | Robotic Technology. 2023. https://www.intuitive.com/en-us/patients/da-vinci-robotic-surgery/about-the-systems. Accessed April 8.
Diakopoulos, Nicholas. 2019. Automating the News. Harvard University Press.
Donoghue v. Stevenson [1932] AC 562 (HL).
Eidenmueller, Horst. 2017. The Rise of Robots and the Law of Humans. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2941001.
Esteva, Andre, Brett Kuprel, Roberto A. Novoa, Justin Ko, Susan M. Swetter, Helen M. Blau, and Sebastian Thrun. 2017. Dermatologist-level classification of skin cancer with deep neural networks. Nature 542. Nature Publishing Group: 115–118. https://doi.org/10.1038/nature21056.
European Parliament. Directorate General for Parliamentary Research Services, and Eleanor Bird. 2020. The Ethics of Artificial Intelligence: Issues and Initiatives. LU: Publications Office.
F TC v Tax Club Inc., F. Supp. 2d, 2014 WL 199514, 5 (S.D.N.Y. Jan. 17, 2014); see also FTC v Network Servs. Depot, Inc., 617 F.3d 1127, 1142 – 43 (9th Cir. 2010); SEC v R.G. Reynolds Enters., Inc., 952 F.2d 1125, 1130 (9th Cir. 1991).
FDA Approves New Robotic Surgery Device. 2023. ScienceDaily. https://www.sciencedaily.com/releases/2000/07/000717072719.htm. Accessed April 8.
FDA permits marketing of artificial intelligence algorithm for aiding providers in detecting wrist fractures. 2020. FDA. FDA. March 24.
Ferrucci, David, Anthony Levas, Sugato Bagchi, David Gondek, and Erik T. Mueller. 2013. Watson: Beyond Jeopardy! Artificial Intelligence 199–200: 93–105. https://doi.org/10.1016/j.artint.2012.06.009.
Froomkin, A. Michael, Ian R. Kerr, and Joelle Pineau. 2019. When AIs Outperform Doctors: Confronting the Challenges of a Tort-Induced Over-Reliance on Machine Learning. SSRN Scholarly Paper. Rochester, NY. https://doi.org/10.2139/ssrn.3114347.
Golden, Jeffrey Alan. 2017. Deep Learning Algorithms for Detection of Lymph Node Metastases from Breast Cancer: Helping Artificial Intelligence Be Seen. JAMA 318: 2184–2186. https://doi.org/10.1001/jama.2017.14580.
Günther, Jan-Philipp, and Eric Hilgendorf, ed. 2013. Robotik und Gesetzgebung. 1st ed. Vol. 2. Robotik Und Recht. Baden-Baden: Nomos.
Hajjar, El., and Ahmad, and Jean-François Rey. 2020. Artificial intelligence in gastrointestinal endoscopy: General overview. Chinese Medical Journal 133: 326–334. https://doi.org/10.1097/CM9.0000000000000623.
Hambali, Siti Naaishah, and Solmaz Khodapanahandeh. 2014. Review of Medical Malpractice Issues in Malaysia under Tort Litigation System. Global Journal of Health Science 6: 76–83. https://doi.org/10.5539/gjhs.v6n4p76.
Hanna, Matthew G., and Maria H. Hanna. 2022. Current Applications and Challenges of Artificial Intelligence in Pathology. Human Pathology Reports 27: 300596. https://doi.org/10.1016/j.hpr.2022.300596.
Hashimoto, Daniel A., Guy Rosman, Daniela Rus, and Ozanan R. Meireles. 2018. Artificial Intelligence in Surgery: Promises and Perils. Annals of Surgery 268: 70–76. https://doi.org/10.1097/SLA.0000000000002693.
Henderson, James A. 2015. TORT VS. TECHNOLOGY: Accommodating Disruptive Innovation. ARIZONA STATE LAW JOURNAL 47.
Hii Chii Kok v Ooi Peng Jin London Lucien [2016] 2 SLR 544 (Chan Seng Onn J).
Johnson, Kevin B., Wei-Qi. Wei, Dilhan Weeraratne, Mark E. Frisse, Karl Misulis, Kyu Rhee, Juan Zhao, and Jane L. Snowdon. 2021. Precision Medicine, AI, and the Future of Personalized Health Care. Clinical and Translational Science 14: 86–93. https://doi.org/10.1111/cts.12884.
Kamitani, Yu, Kouichi Nonaka, and Hajime Isomoto. 2022. Current Status and Future Perspectives of Artificial Intelligence in Colonoscopy. Journal of Clinical Medicine 11: 2923. https://doi.org/10.3390/jcm11102923.
Khoo, James v Gunapath y d/o Muniandy [2002] 1 SLR(R) 1024 (hereinafter Gunapathy).
Kassim, Jahn, and Puteri Nemie. 2004. Medical Negligence Litigationin Malaysia: Whither Should We Travel? Insaf: The Journal of the Malaysian Bar 33. Bar Council: 14–25.
Kaul, Vivek, Sarah Enslin, and Seth A. Gross. 2020. History of Artificial Intelligence in Medicine. Gastrointestinal Endoscopy 92: 807–812. https://doi.org/10.1016/j.gie.2020.06.040.
Khalid, Shuja, Mitchell Goldenberg, Teodor Grantcharov, Babak Taati, and Frank Rudzicz. 2020. Evaluation of Deep Learning Models for Identifying Surgical Actions and Measuring Performance. JAMA Network Open 3: e201664. https://doi.org/10.1001/jamanetworkopen.2020.1664.
Lee, Suehyun, and Hun-Sung. Kim. 2021. Prospect of Artificial Intelligence Based on Electronic Medical Record. Journal of Lipid and Atherosclerosis 10: 282–290. https://doi.org/10.12997/jla.2021.10.3.282.
Marr, Bernard. 2023. First FDA Approval For Clinical Cloud-Based Deep Learning In Healthcare. Forbes. https://www.forbes.com/sites/bernardmarr/2017/01/20/first-fda-approval-for-clinical-cloud-based-deep-learning-in-healthcare/. Accessed April 7.
Mason, Morrison, Visinitini, Overview Clinical Applications of AI, Artificial Intelligence, Intelligence (AI) & Semantics 2023, Scribd. https://www.scribd.com/document/485445039/eh0070-overview-clinical-applications-of-AI. Accessed April 7.
Mcfarlane, Michael. 2020. Artificial Intelligence: The New Frontier in Surgery. European Journal of Medical and Health Sciences. https://doi.org/10.24018/ejmed.2020.2.4.401.
MedSun, 2013 Survey Report: da Vinci Surgical System (CDRH). Available at: https://www.fda.gov/media/87485/download, FDA Database.
Mumtaz, Hassan, Muhammad Saqib, Farrukh Ansar, Durafshan Zargar, Madiha Hameed, Mohammad Hasan, and Pakiza Muskan. 2022. The Future of Cardiothoracic Surgery in Artificial Intelligence. Annals of Medicine and Surgery. https://doi.org/10.1016/j.amsu.2022.104251.
Pai, Varadraj Vasant, and Rohini Bhat Pai. 2021. Artificial Intelligence in Dermatology and Healthcare: An Overview. Indian Journal of Dermatology, Venereology and Leprology 87: 457–467. https://doi.org/10.25259/IJDVL_518_19.
Paige.AI, Unlocking the Power of Digital Pathology. 2023. https://www.nature.com/articles/d43747-021-00041-x. Accessed April 7.
Porpiglia, Francesco, Enrico Checcucci, Daniele Amparore, Matteo Manfredi, Federica Massa, Pietro Piazzolla, Diego Manfrin, et al. 2019. Three-dimensional Elastic Augmented-Reality Robot-Assisted Radical Prostatectomy Using Hyperaccuracy Three-dimensional Reconstruction Technology: A Step Further in the Identification of Capsular Involvement. European Urology 76: 505–514. https://doi.org/10.1016/j.eururo.2019.03.037.
Rathanamalah d/o Shunmugam v Chia Kok Hoong [2018] 4 SLR 159 [127] (Aedit Abdullah JC). cf Hepworth v Kerr [1995] 6 Med LR 139, where the defendant anaesthetist was negligent in experimenting with new hypotensive anaesthetic technique which exposed the patient to excessive risk.
Rahwan, Iyad, Manuel Cebrian, Nick Obradovich, Josh Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, et al. 2019. Machine behaviour. Nature 568. Nature Publishing Group: 477–486. https://doi.org/10.1038/s41586-019-1138-y.
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. 2021.
Roe v Minister of Health [1954] 2 QB 66.
Roh, Hyunsuk Frank, Seung Hyuk Nam, and Jung Mogg Kim. 2018. Robot-assisted laparoscopic surgery versus conventional laparoscopic surgery in randomized controlled trials: A systematic review and meta-analysis. PLOS ONE 13. Public Library of Science. https://doi.org/10.1371/journal.pone.0191628.
Ruffle, James K., Adam D. Farmer, and Qasim Aziz. 2019. Artificial Intelligence-Assisted Gastroenterology- Promises and Pitfalls. The American Journal of Gastroenterology 114: 422–428. https://doi.org/10.1038/s41395-018-0268-4.
Sennaar, Kumba. 2019. Machine Learning for Dermatology. Emerj Artificial Intelligence Research. February 19.
Singh, Rajandeep. 2017. Dermatology and its future with AI. KiViHealth Blog.
Sprenger, Guido. 2018. Production is exchange: Gift-giving between humans and non-humans. In, Prager, Laila, Michael Prager, and Guido Sprenger. 2016. Parts and Wholes: Essays on Social Morphology, Cosmology, and Exchange in Honour of J.D.M. Platenkamp. LIT Verlag Münster.
Sridhar, Ashwin N., Tim P. Briggs, John D. Kelly, and Senthil Nathan. 2017. Training in Robotic Surgery-an Overview. Current Urology Reports 18: 58. https://doi.org/10.1007/s11934-017-0710-y.
Teubner, Gunther. 2006. Rights of Non-Humans? Electronic Agents and Animals as New Actors in Politics and Law. Journal of Law and Society 33. [Cardiff University, Wiley]: 497–521.
Thomson, David I. C. 2009. Law School 2.0: Legal Education for a Digital Age. LexisNexis Matthew Bender.
Turner, Jacob. 2019. Robot Rules: Regulating Artificial Intelligence, 1st ed. Cham: Springer.
TV Media Pte Ltd v De Cruz Andrea Heidi [2004] 3 SLR(R) 543 [71].
Viljanen, Mika. 2017. A Cyborg Turn in Law? German Law Journal 18. Cambridge University Press: 1277–1308. https://doi.org/10.1017/S2071832200022331.
Westlaw Edge: The global standard for legal research. 2022. August 15. https://legal.thomsonreuters.com/en/insights/articles/westlaw-edge-standard-for-legal-research
Yala, Adam, Peter G. Mikhael, Fredrik Strand, Gigin Lin, Kevin Smith, Yung-Liang Wan, Leslie Lamb, Kevin Hughes, Constance Lehman, and Regina Barzilay. 2021. Toward robust mammography-based models for breast cancer risk. Science Translational Medicine 13. American Association for the Advancement of Science: eaba4373. https://doi.org/10.1126/scitranslmed.aba4373.
Yew, Gary Chan Kok, and Man Yip, ed. 2021. AI, Data and Private Law: Translating Theory into Practice. Hart Publishing.https://doi.org/10.5040/9781509946860
Zhang, Fengjun. 2021. Application of Machine Learning in CT Images and X-rays of COVID-19 Pneumonia. Medicine 100: e26855. https://doi.org/10.1097/MD.0000000000026855.
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Mehta, D. The Role of Artificial Intelligence in Healthcare and Medical Negligence. Liverpool Law Rev 45, 125–142 (2024). https://doi.org/10.1007/s10991-023-09340-y
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DOI: https://doi.org/10.1007/s10991-023-09340-y