Neil Panchal is a board-certified emergency physician and the cofounder and chief medical officer of Longevitix, where he builds the clinical and AI infrastructure behind precision longevity medicine.
He trained in emergency medicine at Mount Sinai in New York City and completed agentic AI training with the Harvard Data Science Institute and Stanford Medicine. His clinical affiliations include Yale New Haven Health, Hackensack Meridian Health, and Atlantic Health. He has spent his career where acute medicine meets prevention, treating the downstream failures of chronic disease that earlier risk stratification could have prevented.
At Longevitix, he directs the clinical evidence engine. He translates clinical research, biomarkers, wearables, and multimodal data into personalized protocols, and he sets the standards that govern how AI applies to physician workflows and patient care. His work spans healthspan optimization, early disease detection, and clinical decision support, pairing frontline medical judgment with health informatics.
He writes and speaks on evidence-based longevity, preventive medicine, and the responsible deployment of AI in clinical practice, with recent work including peer-reviewed research, commentary on physician oversight of agentic AI, and writing on KevinMD. He also publishes on the Longevitix blog and shares updates on LinkedIn, where Longevitix maintains a company page as well.
A colleague showed me a tool she was thinking about bringing into her practice. She pasted in a patient summary and got back a tidy set of next steps. Ten minutes later, to show me how it worked, she pasted the same summary in again. The answer came back different. The gap was small, but if the two of us had been covering for each other that week, we would …
4 questions to ask before you trust clinical AI tools
“I just don’t feel like myself lately.”
It is one of the most common opening lines in midlife primary care, and one of the least diagnostically useful on its face. The patient is forty-four, sleeping badly, irritable in a way she describes as unfamiliar, and struggling to hold a thought through a meeting. Her cycles are still coming, roughly. She has read about perimenopause and dismissed the idea, because she is …
Perimenopause misdiagnosis: what a normal lab result hides
Every week, another article lands in my inbox telling me AI will change medicine. What none of them include is a straight answer to the question every physician is actually asking: Which tools should I use Monday morning, and which ones can I safely ignore?
After years in emergency medicine and now building clinical infrastructure for preventive care, I’ve watched this space closely enough to separate what’s working from what’s being …
AI tools for physicians: What to use, what to ignore
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