Issues with AI in Healthcare

Based on interest and enthusiasm at our first meeting, our next even will focus on applications of AI in healthcare. Some of the issues we plan to discuss include:

• Ethical considerations (bias, HIPAA complicance, etc.)
• Technical issues (obtaining accurate and representative data, understanding nuance and context, etc.)
• Challenges unique to applying AI within the healthcare system
• Recent developments and future directions

As always, we are excited to hear from people with a range of backgrounds and a variety of experience (professional and personal).

For more background on the topic of AI in healthcare, we recommend the following articles and papers:

Wiens, J., S. Saria, M. Sendak, M. Ghassemi, V.X. Liu, F. Doshi-Velez, K. Jung, K. Heller, D. Kale, M. Saeed, P.N. Ossorio, S. Thadaney-Israni, & A. Goldenberg. Do no harm: a roadmap for responsible machine learning for health care. (2019) https://www.nature.com/articles/s41591-019-0548-6.pdf

Shulte, F. & E. Fry. Death by a Thousand Clicks: Where Electronic Health Records Went Wrong. (2019) https://khn.org/news/death-by-a-thousand-clicks/

Harris, R. How Can Doctors Be Sure A Self-Taught Computer Is Making The Right Diagnosis? (2019) https://www.npr.org/sections/health-shots/2019/04/01/708085617/how-can-doctors-be-sure-a-self-taught-computer-is-making-the-right-diagnosis

Panch, T., H. Matties, & L.A. Celi. The "inconvenient truth" about AI in healthcare. (2019) https://www.nature.com/articles/s41746-019-0155-4.pdf

Topol, E.J. High-performance medicine: the convergence of human and artificial intelligence. (2019) https://www.gwern.net/docs/ai/2019-topol.pdf