# AI in Women's Health with Dr. Andrew Deutsch from AMCAIM 2025

Page: https://stenobird.com/podcast/the-american-college-of-artificial-intelligence-and-medicine-7112712/ai-in-women-s-health-with-dr-andrew-deutsch-from-amcaim-2025
Text version: https://stenobird.com/podcast/the-american-college-of-artificial-intelligence-and-medicine-7112712/ai-in-women-s-health-with-dr-andrew-deutsch-from-amcaim-2025.md
Podcast: [The American College of Artificial Intelligence and Medicine](https://stenobird.com/podcast/the-american-college-of-artificial-intelligence-and-medicine-7112712)
Published: 2026-04-13T22:00:00+00:00
Episode link: https://rss.com/podcasts/using-ai-for-good-with-doctor-melvin-speisman/2729674
Audio file: https://content.rss.com/episodes/302825/2729674/using-ai-for-good-with-doctor-melvin-speisman/2026_04_12_22_19_36_dd5dbf12-9c6c-41a3-89c3-88ddc14a212b.mp3
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Duration seconds: 2313

## Resource

🎙️ AI in Women’s Health: Smarter Care Across the Lifespan Featuring Dr. Andrew S. Deutsch, MD, FACOG, FAIM 📍 American College of AI and Medicine (AMCAIM) Scientific Session 2025 In this episode, Dr. Andrew S. Deutsch—board-certified Obstetrician-Gynecologist and Fellow of the American College of AI and Medicine—explores how artificial intelligence is shaping the future of women’s healthcare. With a clinical background spanning advanced surgical techniques, ambulatory education, and real-world patient care, Dr. Deutsch offers a grounded perspective on how AI can enhance—not replace—clinical decision-making in OB/GYN. Trained at Chicago Medical School with residency at Advocate Lutheran General Hospital, where he now serves as Co-Director of Ambulatory Education, Dr. Deutsch bridges both academic and community healthcare settings. He currently practices at Women’s Health Specialists and is on staff at Lutheran General Hospital and Northwestern Medicine Lake Forest Hospital. ⸻ 🔍 In this episode, we explore: • How AI is improving early detection and risk prediction for conditions like cancer, endometriosis, and obstetric complications • The role of machine learning in developing personalized care strategies for women across different life stages • Practical insights on implementing AI tools in both hospital systems and everyday clinical workflows

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