Ipek Ensari, Ph.D
Closing the Data Gap in Female Reproductive Health
I study whether apps, wearables, and AI-based tools are truly reliable and clinically useful for conditions like endometriosis, adenomyosis, fibroids, chronic pelvic pain – and how patients and clinicians can use those data for better decision making and personalized care.
Assistant Professor, Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai
Validate mHealth Tools
Testing whether apps, wearables, and AI-based health technologies are reliable, valid, and clinically meaningful for reproductive and pelvic pain conditions.
Interpret Digital Data
Developing ways for patients and clinicians to understand symptom, behavior, and physiological data in ways that support better conversations, better decisions, and more agency.
Personalize Lifestyle Interventions
Studying exercise and other lifestyle-based strategies to improve daily functioning, quality of life, and long-term health for people living with chronic pain conditions.
Speaking & Media
I speak about pelvic pain and reproductive health, patient-generated data, digital health tools, and the gap between what health technology promises and what is actually clinically usable. My work focuses on a practical question: how do we make these tools not just innovative, but trustworthy, interpretable, and genuinely helpful for the people they are meant to serve?
Selected topics
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Are digital health tools truly ready for endometriosis and chronic pelvic pain?
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How patient-generated data can improve care without adding more confusion
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Making AI and wearable data clinically interpretable for women’s reproductive health
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Personalized exercise and lifestyle interventions for chronic pain and long-term health
Selected Recordings
Contact
Get in touch
Have a speaking request, collaboration idea, or media inquiry? Please reach out to our team via ipek.ensari@mssm.edu. Thank you.