Saurabh Paul, Christos Boutsidis, et al.
JMLR
Generative AI have immense potential in digital health, potential to enable scalable, personalized interventions and surface novel insights. Large Language Models (LLMs) like GPT-4 and LLaMA-3 have shown unprecedented performance in understanding, generating, and reasoning with natural language. However, hallucination is a big concern for using LLMs to directly provide medical information. In this talk, we will explore 3 case studies to demonstrate some innovative ways of using LLMs in digital health that have low-risk yet yield high-reward.
Saurabh Paul, Christos Boutsidis, et al.
JMLR
C.A. Micchelli, W.L. Miranker
Journal of the ACM
Joxan Jaffar
Journal of the ACM
Kenneth L. Clarkson, Elad Hazan, et al.
Journal of the ACM