If you've ever wondered whether physicians can work in artificial intelligence without learning to code, this episode may surprise you. In this episode, I welcome back Dr. Danielle Torres, who stepped away from the traditional residency path to pursue healthcare AI and now serves as Director of Clinical Pathways and Education, helping AI insights translate into real-world patient outcomes.

If "AI" makes you think you need years of technical training, think again. Dr. Torres walks through accessible roles where physicians can apply their clinical expertise—from training models to designing products to implementing tools at the point of care. Whether you're exploring a side gig, consulting, or a full career pivot, this is a practical look at how physicians can enter this rapidly growing field without deep technical knowledge.

In this episode we're talking about:

The three major areas where physicians can work in healthcare AI: model development, product development, and implementation
Entry-level roles such as AI annotator and clinical AI trainer
How physicians can transition into product manager roles without coding experience
Implementation roles that focus on training clinicians and integrating AI into clinical workflows
Hybrid leadership opportunities such as medical director, VP of clinical strategy, and startup advisor
Typical compensation ranges for part-time consulting and full-time AI roles
Practical steps physicians can take to start exploring opportunities in AI today

Links for this episode:

Episode #178: The hard decision to do residency or not – an MD graduate's success story

Dr. Danielle Torres' LinkedIn

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You can find the show notes for this episode and more information by clicking here:

www.doctorscrossing.com/episode245

Thank you for listening!