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AI is becoming part of medical practice, but training doctors to use it without weakening their clinical judgment presents a different challenge.

OpenEvidence and Johns Hopkins Medicine on Oct. 13 announced a strategic collaboration to develop new approaches to medical education and clinical care, focusing on preparing future physicians for AI-assisted practice and helping clinicians apply current medical evidence to individual patients.

The partnership has two main objectives: redesigning physician training for an AI-enabled environment and developing AI systems that connect medical research, patient histories and Johns Hopkins’ clinical practices to support care decisions.

The organizations plan to build adaptive AI systems for medical education while reinforcing core skills such as understanding disease processes, evaluating evidence, clinical reasoning, diagnosis and patient communication.

“Johns Hopkins designed modern medical education around a simple idea: that physicians learn medicine at the bedside, grounded in science and reasoning,” said Sanjay Desai, vice dean for education at Johns Hopkins Medicine.