Pitt HexAI Podcast Series [Spotify] [Apple Podcasts] [Amazon Music] [Google Podcasts]
The Health and Explainable AI Podcast series embodies our vision to bridge the gap between health informatics and artificial intelligence through collaborative dialogue and shared knowledge and expertise. As an integral part of the PittHexAI research laboratory, this podcast series serves as a dynamic and solid platform for engaging students, medical professionals, and researchers in meaningful conversations about the latest advancements in health informatics and explainable AI (XAI). Under the leadership of Ahmad P. Tafti, this podcast series strives to foster cross-disciplinary partnerships and cultivate a global network of innovators dedicated to advancing the field. Our mission is to highlight cutting-edge research, explore practical applications, and inspire new solutions that improve healthcare outcomes using AI, and enhance the understanding of AI in medicine and healthcare.
HexAI Podcast Series: Introduction
2024
Episode 24: John Carbone, PhD
Theme: ...
Episode 23: Aristotelis Tsirigos, PhD
Theme: Self-Supervised AI, AI in Pathology, AI in Cancer Phenotyping.
Episode 22: Fei Wang, PhD
Theme: Explainable AI in Health Informatics, Complex AI Models, AI for Digital Health.
Episode 21: Adolph J. Yates, Jr., MD
Theme: AI in Orthopedics, AI in Hip/Knee Replacements, Adoption of AI.
Episode 20: Elizabeth Skidmore, PhD
Theme: AI in Rehabilitation, AI in Occupational Therapy, Personalized Interventions.
Episode 19: Sarah Wheeler, PhD
Theme: AI for Clinical Diagnosis, AI in Laboratory Medicine.
Episode 18: Dana Tudorascu, PhD
Theme: Explainable AI in Image Harmonization, Trustworthy AI in Neurodegenrative Diseases.
Click here to explore more episodes from 2023!
2023
2023
Episode 17: Hooman Rashidi, MD
Theme: AI and Digital Pathology.
Episode 16: Morgan Cheatham
Theme: AI and Computational Healthcare, AI in Biotech.
Episode 15: William Hersh, MD
Theme: AI in Biomedical Informatics.
Episode 14: Shashank Manjunath
Theme: Explainable AI in Healthcare, AI in Noise Reduction.
Episode 13: Vivek Nallur, PhD
Theme: AI Ethics, AI Governance, AI and Caregivers.
Episode 12: Natalia Díaz Rodríguez, PhD
Theme: AI Explainability in Healthcare, Responsible AI, Trustworthy AI.
Episode 11: Annika Schoene
Theme: AI Explainability in Healthcare, Mental Health, Responsible AI.
Episode 10: Willian Hsu, PhD
Theme: AI Explainability in Healthcare, Medical Imaging Informatics, AI in Radiology, Bioinformatics.
Episode 9: Jason Fries, PhD
Theme: AI Explainability in Healthcare, Career Development in AI, Large Language Models (LLMs), Foundational AI Models in Healthcare.
Episode 8: Sriraam Natarajan, PhD
Theme: AI Explainability in Healthcare, AI Education, Large Language Models (LLMs), ChatGPT, AI in Diabetes Research.
Episode 7: Peter Shen
Theme: AI Explainability in Healthcare, AI in Radiology, Medical Imaging Informatics, Digital Health Technology, Siemens Healthineers, Vivo vs Vitro Diagnostics
Episode 6: Claudia von Vacano, PhD
Theme: AI Explainability in Healthcare, AI Education, Data Science Education, AI Workshops.
Episode 5: Leah Reid, MD
Theme: AI Explainability in Healthcare, Clinical Informatics, Career Development in AI, AI in Cardiology, Learning Health Data Science.
Episode 4: Gaurav Kaushik, PhD
Theme: AI Explainability in Healthcare; Unstractured Healthcare Data, Startup Company, Bioinformatics, Cancer Informatics, Clinical Informatics.
Episode 3: Issac Kohane, MD, PhD
Theme: AI Explainability in Healthcare, Biomedical Informatics, Clinical Care, Bioinformatics, Decision-Support Systems.
Episode 2: Davina Zamanzadedh
Theme: AI Explainability in Healthcare, AI in Nephrology, Career Development in AI, Computational Health Informatics.
Episode 1: Adam Yala, PhD
Theme: AI Explainability in Healthcare, Cancer Informatics, Clinical Care, Precision Medicine, Medical Imaging Informatics.