# Plain Language Summary: AI Training for Medical Professionals

This bill requires medical schools, residency programs, and medical training institutions to include education about artificial intelligence in their curriculum. Essentially, it's saying that doctors-in-training need to learn how AI tools work and how to use them in medical practice, just like they learn about other important medical technologies and techniques.

Right now, as AI becomes more common in healthcare—from diagnostic imaging tools that help detect diseases to software that assists with treatment planning—many medical students graduate without formal training in these systems. This bill aims to fix that gap by making AI education a standard part of medical training. Medical students, residents, and faculty would all need to understand how these AI tools function, when they're appropriate to use, what their limitations are, and how to interpret their results responsibly.

The practical effect is that future doctors will be better prepared to work with AI technology in hospitals and clinics. They'll understand both the benefits and the risks, which matters because using AI tools incorrectly could potentially harm patients. This also means medical schools will need to develop new curriculum materials and possibly hire instructors with expertise in both medicine and artificial intelligence. For patients, the long-term benefit is that their doctors will have been trained to use these emerging tools safely and effectively, rather than learning on the job.