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Gibson D. Lewis Library Libguides

Artificial Intelligence and Healthcare

Continue Your Education

In order to effectively use AI in healthcare, it's important to continue your education! Browse the resources on this page for quick links.

Using the Lewis Library
  1. Use BrowZine to save journals on your bookshelf that are focused on AI technology and healthcare, like:
    1. Frontiers in Digital Health
    2. Journal of the American Medical Association
    3. Digital Health
    4. Informatics for Health and Social Care

 

 

 

 

 

 

 

 

  1. Use LibKey Nomad to quickly access MUST READ articles
  2. Save Searches on PubMed and get emailed alerts when articles of interest are deposited, like:
    1. ("artificial intelligence") AND (digital health) AND (data privacy); filters: Systematic Reviews, in the last five years
    2. ("artificial intelligence") AND (healthcare) AND (digital literacy); filters: in the last five years
Must Read Articles
  • Alowais, S. A., Alghamdi, S. S., Alsuhebany, N., Alqahtani, T., Alshaya, A. I., Almohareb, S. N., Aldairem, A., Alrashed, M., Bin Saleh, K., Badreldin, H. A., Al Yami, M. S., Al Harbi, S., & Albekairy, A. M. (2023). Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC medical education, 23(1), 689. https://doi.org/10.1186/s12909-023-04698-z 
  • Bak, M., & Chin, J. (2024). The potential and limitations of large language models in identification of the states of motivations for facilitating health behavior change. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocae057 
  • Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, Virtual Event, Canada. https://doi.org/10.1145/3442188.3445922
  • Elish, M. C., & Watkins, E. A. (2020). Repairing Innovation: A Study of Integrating AI in Clinical Care. https://datasociety.net/library/repairing-innovation/
  • Gibney, E. (2024). Chatbot AI makes racist judgements on the basis of dialect. Nature(627), 476-477. doi.org/10.1038/d41586-024-00779-1 
  • Dunn, A. G., Shih, I., Ayre, J., & Spallek, H. (2023). What generative AI means for trust in health communications. J Commun Healthc, 16(4), 385-388. https://doi.org/10.1080/17538068.2023.2277489 
  • Movva, R., Shanmugam, D., Hou, K., Pathak, P., Guttag, J., Garg, N., & Pierson, E. (2023). Coarse race data conceals disparities in clinical risk score performance Machine Learning for Healthcare 2023 
  • White House Office of Science and Technology Policy. (2022). Blueprint for an AI Bill of Rights: Making Automated Systems Work for the American People. 
Longer Must Reads
  • Benjamin, R. (2020). Race after technology : abolitionist tools for the New Jim Code. Polity. 
  • Blackstock, U. (2024). Legacy : a black physician reckons with racism in medicine. Viking, an imprint of Penguin Random House LLC. 
  • Hao, K., Swart, H., Hernandez, A. P., & Freischlad, N. (2022). AI Colonialism [Article Series]. Retrieved 04/03/2024, from https://www.technologyreview.com/2022/04/19/1049592/artificial-intelligence-colonialism/ 
  • Zuboff, S. (2020). The age of surveillance capitalism : the fight for a human future at the new frontier of power (First Trade paperback edition ed.). PublicAffairs.
Recommending Reading
  • Baker, H. P., Dwyer, E., Kalidoss, S., Hynes, K., Wolf, J., & Strelzow, J. A. (2024). ChatGPT's Ability to Assist with Clinical Documentation: A Randomized Controlled Trial. The Journal of the American Academy of Orthopaedic Surgeons, 32(3), 123-129. https://doi.org/10.5435/JAAOS-D-23-00474 
  • Editors, M. C. P. (2024, 03/27/2024). AI in healthcare: The future of patient care and health management. Mayo Clinic Press. https://mcpress.mayoclinic.org/healthy-aging/ai-in-healthcare-the-future-of-patient-care-and-health-management/
  • Giordano, C., Brennan, M., Mohamed, B., Rashidi, P., Modave, F., & Tighe, P. (2021). Accessing Artificial Intelligence for Clinical Decision-Making. Front Digit Health, 3, 645232. https://doi.org/10.3389/fdgth.2021.645232 
  • Kim, H.-K. (2024). The Effects of Artificial Intelligence Chatbots on Women’s Health: A Systematic Review and Meta-Analysis. Healthcare, 12(5), 534. https://doi.org/https://doi.org/10.3390/healthcare12050534 
  • Nogales, A., Rodríguez-Aragón, M., & García-Tejedor, Á. J. (2024). A systematic review of the application of deep learning techniques in the physiotherapeutic therapy of musculoskeletal pathologies. Computers in Biology and Medicine, 172, 108082. https://doi.org/https://doi.org/10.1016/j.compbiomed.2024.108082 
  • Veras, M., Joseph-Omer, D., & Kairy, D. (2024). Artificial Intelligence and Digital Divide in Physiotherapy Education. Cureus, 16(1). https://doi.org/https://doi.org/10.7759/cureus.52617 
  • Wu, E., Wu, K., Daneshjou, R., Ouyang, D., Ho, D. E., & Zou, J. (2021). How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals. Nature Medicine, 27(4), 582-584. https://doi.org/10.1038/s41591-021-01312-x