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

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.

Automated summary

Advancements in AI have enabled personalized healthcare by investigating disease origins at the genetic or molecular level, understanding individual drug effects, and integrating multi-modal personal data to uncover new aspects of pathophysiology. Future efforts should focus on addressing equity, fairness, explainability, and generalizability of AI models.