Upcoming Events

Please join us on Thursday, October 8 2026 at 12pm-1pm PST/3pm-4pm EST for the discussion forum: "AI, Augmented Intelligence, in Healthcare", by Dr. Vincent Liu, MD, MS. This talk explores how trust, workflow integration, and rigorous real-world evaluation, rather than model capability alone, are becoming the key determinants of healthcare AI impact using examples from traditional AI, generative AI, and into agentic AI.

The Fall 2026 All-Hands Meeting and Open House will highlight significant advances made in the program and highlight some of the breakthroughs by the program teams. Join us to connect with consortium members, discover new resources, and gain hands-on experience with the datasets, tools, and processes driving the future of biomedical AI.

Artificial intelligence has rapidly affected the healthcare landscape with applications ranging from prognostic models to language-based systems and emerging generative and agentic AI applications. But performant systems might not be clinically impactful. Drawing on pragmatic clinical trials of AI-driven interventions in urban and rural clinical settings, this talk will explore how silent validation, workflow integration, governance navigation, and continuous monitoring can bridge the gap between AI/ML development and improved patient care. The talk will also discuss how advances in language models and phenotyping are expanding what we can measure in healthcare, while reinforcing the need for rigorous evidence generation in real-world clinical settings. Bio: Colin Walsh, MD, MA, FACMI, FAMIA, FIAHSI, is an Associate Professor of Biomedical Informatics, Medicine, and Psychiatry at Vanderbilt University Medical Center. His research focuses on developing, evaluating, and implementing artificial intelligence to improve healthcare delivery, with an emphasis on pragmatic clinical trials, clinical decision support, natural language processing, and mental health. Dr. Walsh leads multisite, multidisciplinary efforts spanning clinical prediction, multimodal phenotyping, and public health informatics, with the goal of generating rigorous evidence that AI can improve clinical decision-making, healthcare quality, and patient outcomes in real-world practice. https://vanderbilt.zoom.us/j/93710289037 Meeting ID: 937 1028 9037  

Please join us for the TRM Lecture: Beyond Centralized Data: Data Privacy and Federated Learning for Biomedical AI with Dr. Holger R. Roth, Principal Federated Learning Scientist at NVIDIA.

The Voice AI Symposium has become an internationally-recognized event and one of the only conferences focused solely on the research, development, and implementation of voice biomarkers to improve healthcare. Unlike some large-scale tech conferences, the Voice AI Symposium is intentionally intimate and designed to give every attendee meaningful opportunities to meet pioneers, tastemakers, and thought leaders shaping the future of healthcare through voice AI technologies. Building on the success of past years, the 2027 Voice AI Symposium will bring together the forefront innovators, researchers, clinicians, entrepreneurs, and industry leaders of the voice biomarker space for a two-day immersive experience at the forefront of voice and AI in healthcare.