Working Bibliography

Source One: 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 Two: 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.

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 Three: 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 Four: 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

https://www.nature.com/articles/s41746-023-00852-5

Mykaela Cole

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