AI in medicine: Where are we now and where are we going?

Md Mobashir Hasan Shandhi; Jessilyn P Dunn

doi:10.1016/j.xcrm.2022.100861

AI in medicine: Where are we now and where are we going?

Cell Rep Med. 2022 Dec 20;3(12):100861. doi: 10.1016/j.xcrm.2022.100861.

Authors

Md Mobashir Hasan Shandhi¹, Jessilyn P Dunn²

Affiliations

¹ Department of Biomedical Engineering, Duke University, Durham, NC, USA.
² Department of Biomedical Engineering, Duke University, Durham, NC, USA; Department of Biostatistics & Bioinformatics, Duke University, Durham, NC, USA; Duke Clinical Research Institute, Durham, NC, USA. Electronic address: jessilyn.dunn@duke.edu.

Abstract

Advancements in AI enable personalizing healthcare, for example by investigating disease origins at the genetic or molecular level, understanding intraindividual drug effects, and fusing multi-modal personal physiological, behavioral, laboratory, and clinical data to uncover new aspects of pathophysiology. Future efforts should address equity, fairness, explainability, and generalizability of AI models.

MeSH terms

Artificial Intelligence
Medicine*