AI Powers Digital Medicine: From Diagnosis to Treatment Decision Support
This early perspective reviews AI applications across healthcare domains including prevention, detection, diagnosis, and treatment, arguing that AI will augment rather than replace the physician-patient relationship by automating repetitive tasks. The authors highlight pilot studies demonstrating AI's clinical applicability and envision a more unified healthcare experience. While foundational for the field, the paper provides a high-level overview rather than specific technical advances.
The original study
Artificial intelligence powers digital medicine.
- Authors
- Fogel AL, Kvedar JC
- Journal
- NPJ digital medicine
- Type
- Journal Article, Review
- PMID
- 31304291
Original abstract
Artificial intelligence (AI) has recently surpassed human performance in several domains, and there is great hope that in healthcare, AI may allow for better prevention, detection, diagnosis, and treatment of disease. While many fear that AI will disrupt jobs and the physician-patient relationship, we believe that AI can eliminate many repetitive tasks to clear the way for human-to-human bonding and the application of emotional intelligence and judgment. We review several recent studies of AI applications in healthcare that provide a view of a future where healthcare delivery is a more unified, human experience.