A new study led by Yale School of Medicine's Wendy Barr, M.D., M.P.H., has evaluated the use of artificial intelligence among more than 15,000 family medicine residency trainees across the U.S. and found that in October 2025, 71% of residents had used AI for work in the past month. The paper is published in the journal Family Medicine.
Growing Use of AI in Medical Education Among U.S. Residents
A study by Yale School of Medicine found that 71% of family medicine residency trainees in the U.S. used AI for work in October 2025. This research highlights the growing integration of technology in medical education. For Iran, understanding AI's role in healthcare training could influence future medical education reforms.
👥 Key Players
📰 What Happened
A study found that 71% of family medicine residency trainees in the U.S. utilized AI in their work in October 2025. This indicates a significant trend towards technology integration in medical training.
- The study involved over 15,000 family medicine residency trainees.
- The findings were published in the journal Family Medicine.
💡 Why It Matters
📚 Background
Artificial intelligence is increasingly being integrated into various fields, including healthcare, to enhance training and improve outcomes. This trend is relevant for countries looking to modernize their medical education systems.
🏷️ Entities Mentioned
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