Pitt HexAI Podcast Series [Spotify] [Apple Podcasts] [Amazon Music] [Google Podcasts]
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.