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Yale professor Shaili Gupta bridges medicine and AI
Shaili Gupta, associate program director at Yale’s Internal Medicine Traditional Residency Program, has developed a specialized curriculum.
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Rwittika Chakraborty
- Sun, 07, Dec 2025
- 00:00 EST
- 15
Shaili Gupta, Associate Professor of Medicine at Yale. / Yale School of Medicine.
Shaili Gupta, an associate professor of medicine (general medicine) at Yale School of Medicine, has launched a new program, called ‘AI and Innovation in Medicine Distinction Pathway (AIMDP)’, in the past year.
With artificial intelligence revolutionizing both how medicine is practiced and how it’s taught, Gupta, who also serves as associate program director of the Yale Internal Medicine Traditional Residency Program, developed a specialized curriculum.
The curriculum focuses on preparing physicians-in-training to approach emerging technologies with confidence, curiosity, and critical thinking. It is developed for internal medicine residents who are interested in engaging further in-depth with this evolving field of AI.
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“With AI, the output is only as good as the input,” the Indian-origin clinician-educator told Yale .
“We want trainees to know how to question what AI produces – when to trust it, when to challenge it, and how to ask better prompts so the technology helps them think more critically,” Gupta added.
The program involves residents learning the basics of coding and understanding large language models, followed by proceeding to explore how AI and machine learning may be applied in clinical care, medical education, and research.
Faculty experts from various fields, including medicine, law, computer science, digital ethics, and data science, also contribute sessions to the curriculum.
This is a part of Gupta’s vision, which aims to bring together professionals across domains to provide trainees with a broad foundation for using AI responsibly in their future practice.
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