Source One: Doctors Told Him He Was Going to Die. Then A.I. Saved His Life. Scientists are using machine learning to find new treatments among thousands of old medicines
This article contains one author Kate Morgan, who is a journalist in central Pennsylvania and also a media fellow at The Nova Institute for Health unlike most of my sources this one comes from the New York Times and gives a more public view on AI rather than a scholarly one to help get more incites on AI in the medical field. This article goes over a man named Joseph Coates who was battling with a rare blood disorder, but it wasn’t necessarily doctors who helped save his life but AI in the medical field. From this article, I will have more of a good outcome for the use of AI and help keep a more biased approach to how AI affects the medical system good or bad.
Morgan, Kate. “A.I. Saved His Life by Discovering New Uses for Old Drugs.” The New York Times, 20 Mar. 2025, www.nytimes.com/2025/03/20/well/ai-drug-repurposing.html?searchResultPosition=1.
A.I. Saved His Life by Discovering New Uses for Old Drugs – The New York Times
Source Two: Artificial intelligence in the medical profession: ready or not, here AI comes
This article is written by three authors Aidan Pucchio, School of Medicine, Queen’s University, Kingston, Ontario, Canada: Joshua Del Papa, School of Medicine, Queen’s University, Kingston, Ontario, Canada: Fabio Ynoe de Moraes, Department of Oncology, Queen’s University, Kingston, Ontario, Canada Kingston Health Sciences Centre, Kingston, Ontario, Canada. The main viewpoint of the article is that healthcare needs to address the challenges of using Artificial Intelligence in clinical practice to avoid the inefficiencies experienced with previous technologies, such as Electronic Medical Records. From this article, I will better understand the key barriers to successful AI implementation in medicine and how they are the growing knowledge gap between medical professionals.
Pucchio, Aidan, et al. “Artificial Intelligence in the Medical Profession: Ready or Not, Here AI Comes.” Clinics, vol. 77, no. 1807-5932, Jan. 2022, p. 100010, https://doi.org/10.1016/j.clinsp.2022.100010. Accessed 16 Feb. 2022.
Artificial intelligence in the medical profession: ready or not, here AI comes – ScienceDirect
Source Three: Source One: AI’s Threat to the Medical Profession
This article contains three authors Agnes B. Fogo, MD, Vanderbilt University Medical Center; Andreas Kronbichler, MD, Medical University Innsbruck; Ingeborg M. Bajema, MD, University Medical Center Groningen. The article gives a viewpoint and context from a lawsuit against OpenAI for copyright infringement on their work in the medical field that was filed by 18 credited authors and medical professionals. The article goes into depth about how hours of medical professional research are going into these AI systems. Medical professionals rely on AI resulting in the loss of important skills over time. While these medical professionals are feeding their expert knowledge to AI it’s not all good, AI is growing and has lightning speed but the expert knowledge from medical professionals is what is building it. This source will help be the backbone for my supporting claims as I continue to build it in the search for more information on AI in the medical field.
Fogo AB, Kronbichler A, Bajema IM. AI’s Threat to the Medical Profession. JAMA. 2024;331(6):471–472. doi:10.1001/jama.2024.0018
https://jamanetwork.com/journals/jama/fullarticle/2814246
Source Four: Factors influencing trust in medical artificial intelligence for healthcare professionals: a narrative review
The article is written by 3 authors Victoria Tucci, McMaster University: Joan Saary, University of Toronto: Thomas E. Doyle, McMaster University. For the article, the authors performed a comprehensive review of literature from various databases between medical artificial intelligence (AI) and healthcare expert end-users by identifying the qualitatively and quantitatively assessed factors. This review helps the authors better understand the use of AI and how the influence of the implications of AI affect healthcare workers. Medical AI has enhanced medical innovation as the struggle to promote trust among medical professionals. This article will help me gain an insight into how the use of AI is still a learning curve as it brings a new perspective on the medical field.
Source Three: Tucci, Victoria, et al. “Factors Influencing Trust in Medical Artificial Intelligence for Healthcare Professionals: A Narrative Review.” Journal of Medical Artificial Intelligence, vol. 0, Jan. 2021, https://doi.org/10.21037/jmai-21-25.
https://jmai.amegroups.org/article/view/6664/html
Source Five: Ethical use of Artificial Intelligence in Health Professions Education: AMEE Guide No. 158
Masters, K. (2023) ‘Ethical use of Artificial Intelligence in Health Professions Education: AMEE Guide No. 158’, Medical Teacher, 45(6), pp. 574–584. doi: 10.1080/0142159X.2023.2186203.
Source Six: Exploring healthcare professionals’ understanding and experiences of artificial intelligence technology use in the delivery of healthcare: An integrative review
Shinners L, Aggar C, Grace S, Smith S. Exploring healthcare professionals’ understanding and experiences of artificial intelligence technology use in the delivery of healthcare: An integrative review. Health Informatics Journal. 2019;26(2):1225-1236. doi:10.1177/1460458219874641
Source Seven: The medical profession transformed by artificial intelligence: Qualitative study
Mosch L, Fürstenau D, Brandt J, et al. The medical profession transformed by artificial intelligence: Qualitative study. DIGITAL HEALTH. 2022;8. doi:10.1177/20552076221143903
https://journals.sagepub.com/doi/full/10.1177/20552076221143903
Source Eight: An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals
Lambert, S.I., Madi, M., Sopka, S. et al. An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals. npj Digit. Med. 6, 111 (2023). https://doi.org/10.1038/s41746-023-00852-5
