Literature DB >> 30794126

Are Current Tort Liability Doctrines Adequate for Addressing Injury Caused by AI?

Hannah R Sullivan1, Scott J Schweikart2.   

Abstract

As capabilities of predictive algorithms improve, machine learning will become an important element of physician practice and patient care. Implementation of artificial intelligence (AI) raises complex legal questions regarding health care professionals' and technology manufacturers' liability, particularly if they cannot explain recommendations generated by AI technology. The limited literature on liability for innovation provides opportunities to consider possible implications of AI for medical malpractice and products liability and new legal solutions for addressing liability issues surrounding "black-box" medicine.
© 2019 American Medical Association. All Rights Reserved.

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Year:  2019        PMID: 30794126     DOI: 10.1001/amajethics.2019.160

Source DB:  PubMed          Journal:  AMA J Ethics


  19 in total

Review 1.  Wearing Your Heart on Your Sleeve: the Future of Cardiac Rhythm Monitoring.

Authors:  Mostafa A Al-Alusi; Eric Ding; David D McManus; Steven A Lubitz
Journal:  Curr Cardiol Rep       Date:  2019-11-25       Impact factor: 2.931

2.  Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application.

Authors:  Valentina Bellemo; Gilbert Lim; Tyler Hyungtaek Rim; Gavin S W Tan; Carol Y Cheung; SriniVas Sadda; Ming-Guang He; Adnan Tufail; Mong Li Lee; Wynne Hsu; Daniel Shu Wei Ting
Journal:  Curr Diab Rep       Date:  2019-07-31       Impact factor: 4.810

3.  Physician understanding, explainability, and trust in a hypothetical machine learning risk calculator.

Authors:  William K Diprose; Nicholas Buist; Ning Hua; Quentin Thurier; George Shand; Reece Robinson
Journal:  J Am Med Inform Assoc       Date:  2020-04-01       Impact factor: 4.497

4.  Patient Data-Sharing for AI: Ethical Challenges, Catholic Solutions.

Authors:  Jean Baric-Parker; Emily E Anderson
Journal:  Linacre Q       Date:  2020-05-15

Review 5.  Ethical considerations for artificial intelligence: an overview of the current radiology landscape.

Authors:  Tugba Akinci D'Antonoli
Journal:  Diagn Interv Radiol       Date:  2020-09       Impact factor: 2.630

6.  Ethical Machine Learning in Healthcare.

Authors:  Irene Y Chen; Emma Pierson; Sherri Rose; Shalmali Joshi; Kadija Ferryman; Marzyeh Ghassemi
Journal:  Annu Rev Biomed Data Sci       Date:  2021-05-06

7.  Artificial Intelligence and Health Technology Assessment: Anticipating a New Level of Complexity.

Authors:  Hassane Alami; Pascale Lehoux; Yannick Auclair; Michèle de Guise; Marie-Pierre Gagnon; James Shaw; Denis Roy; Richard Fleet; Mohamed Ali Ag Ahmed; Jean-Paul Fortin
Journal:  J Med Internet Res       Date:  2020-07-07       Impact factor: 5.428

8.  Artificial Intelligence and a Pandemic: an Analysis of the Potential Uses and Drawbacks.

Authors:  Christina M Williams; Rahul Chaturvedi; Richard D Urman; Ruth S Waterman; Rodney A Gabriel
Journal:  J Med Syst       Date:  2021-01-18       Impact factor: 4.460

9.  Translational health technology and system schemes: enhancing the dynamics of health informatics.

Authors:  Marjo Rissanen
Journal:  Health Inf Sci Syst       Date:  2020-11-09

10.  Real-time AI prediction for major adverse cardiac events in emergency department patients with chest pain.

Authors:  Pei-I Zhang; Chien-Chin Hsu; Yuan Kao; Chia-Jung Chen; Ya-Wei Kuo; Shu-Lien Hsu; Tzu-Lan Liu; Hung-Jung Lin; Jhi-Joung Wang; Chung-Feng Liu; Chien-Cheng Huang
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2020-09-11       Impact factor: 2.953

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