AI Adoption in U.S. Healthcare Surges, Prioritizing Administrative Efficiency and Patient Access
Artificial intelligence (AI) adoption in U.S. healthcare is rapidly increasing, with two in three physicians using AI in 2024, a significant rise from 38% in 2023, according to the American Medical Association. The primary driver for this adoption is the desire to reduce paperwork, with 57% of physicians identifying it as the biggest opportunity. The FDA's list of AI-enabled medical devices has surpassed 1,400 by the end of 2025, with approximately three-quarters dedicated to radiology. Current AI applications in healthcare primarily focus on three areas: reading and writing text (e.g., clinical notes, claims), predicting outcomes (e.g., no-shows, readmissions), and analyzing images and signals (e.g., X-rays, ECGs). Administrative and workflow AI solutions, such as AI scribes and referral processing, are gaining traction due to their lower cost and faster implementation compared to diagnostic AI, which is regulated as a medical device.