Yanshan Wang (PhD, FAMIA), Vice Chair for Research and Assistant Professor of Health Informatics at the University of Pittsburgh, speaks with Pitt HexAI podcast host Jordan Gass-Pooré.

Yanshan is also the interim Director of Generative AI with the University of Pittsburgh's Computational Pathology and AI Center of Excellence and he leads the Clinical Natural Language Processing and Artificial Intelligence Innovation Laboratory (PittNAIL). Jordan and Yanshan discuss his journey into biomedical and health informatics, his role as Vice Chair of Research, his views on explainable AI, private sector engagement around AI transparency, and on emerging generative AI models and computational resources at Pitt. Yanshan closes the interview with advice for students on setting up research projects.

Pitt HexAI podcast host Jordan Gass-Poore’ speaks with three talented young student researchers from Ukraine who participated in the RAI for Ukraine program, a fully remote academic research program launched by NYU in partnership with the Ukrainian Catholic University (UCU) in Lviv, Ukraine. The program conducts cutting-edge collaborative research on a range of responsible AI topics in collaboration with mentors from other U.S. and European universities.

Participating students: Yaroslav Klym, Vladyslav Protsenko, and Danylo Reznyk discuss the RAI for Ukraine program, their journeys into the initiative, their experiences working with the AMIIE Lab at Pace University and the HexAI Lab at the University of Pittsburgh, as well as provide insights into their research and forthcoming papers.

The RAI for Ukraine program and participating initiatives like Pitt's HexAI lab help provide high-quality research opportunities to students in Ukraine, helping to strengthen research capacity in responsible and explainable AI.

Dr. Xenophon Papademetris, Professor of Biomedical Informatics & Data Science, and Radiology & Biomedical Imaging at Yale School of Medicine speaks with Pitt HexAI guest host Jamie Gramz, Senior Director of Digital Strategy and Business Development with Siemens Healthineers. Jamie and Dr. Papademetris discuss Xenophon’s experience in medical image analysis, machine learning, and software development and his involvement in the development of medical image analysis software as well as his involvement in Yale’s Certificate Program in Medical Software and Medical AI. Jamie and Dr. Papademetris also discuss Xenophon’s textbook “Introduction to Medical Software: Foundations for Digital Health, Devices and Diagnostics” and his Coursera online class “Introduction to Medical Software”, the importance of medical software and AI education as well as the importance of interdisciplinary collaboration in AI for healthcare, and they discuss explainability in AI and clinical communications.