Fetching the paper…
Reading the bibliography…
Medical students will almost inevitably encounter powerful medical AI systems early in their careers.
Humans and Automation: Use, Misuse, Disuse, Abuse
Raja Parasuraman and Victor Riley · 1997
Earlier work this paper cites.
Principles of biomedical ethics
Tom L Beauchamp and James F Childress · 2001
Earlier work this paper cites.
Automation bias: a systematic review of frequency, effect mediators, and mitigators
Kate Goddard, Abdul Roudsari, and Jeremy C Wyatt · 2012
Earlier work this paper cites.
Artificial intelligence and computer science in education: From kindergarten to university
Martin Kandlhofer, Gerald Steinbauer, Sabine Hirschmugl-Gaisch, and Petra Huber · 2016
Earlier work this paper cites.
Problems with health information technology and their effects on care delivery and patient outcomes: a systematic review
Mi Ok Kim, Enrico Coiera, and Farah Magrabi · 2017
Earlier work this paper cites.
Tim Miller, Piers Howe, and Liz Sonenberg · 2017
Earlier work this paper cites.
Machine learning in medicine: Addressing ethical challenges
Effy Vayena, Alessandro Blasimme, and I. Glenn Cohen · 2018
Earlier work this paper cites.
Medical Education Must Move From the Information Age to the Age of Artificial Intelligence
Steven A. Wartman and C. Donald Combs · 2018
Earlier work this paper cites.
Machine learning and medical education
Vijaya B. Kolachalama and Priya S. Garg · 2018
Earlier work this paper cites.
Overview of artificial intelligence in medicine
Paras Malik Amisha, Monika Pathania, and Vyas Kumar Rathaur · 2019
Earlier work this paper cites.
Artificial intelligence: Investment trends and selected industry uses
Xiaomin Mou · 2019
Cited alongside, same era.
Reimagining Medical Education in the Age of AI
Steven A. Wartman and C. Donald Combs · 2019
Cited alongside, same era.
Nutrition education fit for modern health systems
Benjamin Coghlan, Simon Coghlan, and Alyce Wilson · 2019
Cited alongside, same era.
Computer knows best? the need for value-flexibility in medical ai
Rosalind J McDougall · 2019
Cited alongside, same era.
Big Data, Big Tech, and Protecting Patient Privacy
I. Glenn Cohen and Michelle M. Mello · 2019
Cited alongside, same era.
The global landscape of ai ethics guidelines
Anna Jobin, Marcello Ienca, and Effy Vayena · 2019
Cited alongside, same era.
Artificial intelligence in medicine and the disclosure of risks
Maximilian Kiener · 2020
Later among the works it cites.
A governance model for the application of ai in health care
Sandeep Reddy, Sonia Allan, Simon Coghlan, and Paul Cooper · 2020
Later among the works it cites.
Approaching autonomy in medical artificial intelligence
Danielle S Bitterman, Hugo JWL Aerts, and Raymond H Mak · 2020
Later among the works it cites.
Artificial intelligence, social media and depression. a new concept of health-related digital autonomy
Sebastian Laacke, Regina Mueller, Georg Schomerus, and Sabine Salloch · 2020
Later among the works it cites.
Formalizing trust in artificial intelligence: Prerequisites, causes and goals of human trust in ai
Alon Jacovi, Ana Marasović, Tim Miller, and Yoav Goldberg · 2021
Closest in time.
The need for health AI ethics in medical school education
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
How precision medicine and screening with big data could increase overdiagnosis
Henrik Vogt, Sara Green, Claus Thorn Ekstrøm, and John Brodersen · 2019
Cited alongside, same era.
Establishing the rules for building trustworthy ai
Luciano Floridi · 2019
Cited alongside, same era.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
Cynthia Rudin · 2019
Cited alongside, same era.
Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies
Myura Nagendran, Yang Chen, Christopher A. Lovejoy, Anthony C. Gordon, Matthieu Komorowski, Hugh Harvey, Eric J. Topol, John P. A. Ioannidis, Gary S. Collins, and Mahiben Maruthappu · 2020
Cited alongside, same era.
One health, bioethics, and nonhuman ethics
Simon Coghlan and Benjamin Coghlan
Cited in the paper.
Gali Katznelson and Sara Gerke · 2021
Closest in time.
Trust and medical AI: the challenges we face and the expertise needed to overcome them
Thomas P Quinn, Manisha Senadeera, Stephan Jacobs, Simon Coghlan, and Vuong Le · 2021
Closest in time.
Ethics and governance of artificial intelligence for health: WHO guidance
World Health Organization and others · 2021
Closest in time.
Teasing out artificial intelligence in medicine: An ethical critique of artificial intelligence and machine learning in medicine
Mark Henderson Arnold · 2021
Closest in time.
Sustainable ai: Ai for sustainability and the sustainability of ai
Aimee van Wynsberghe · 2021
Closest in time.