BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//BRIDGE2AI - ECPv6.15.13//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:BRIDGE2AI
X-ORIGINAL-URL:https://bridge2ai.org
X-WR-CALDESC:Events for BRIDGE2AI
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20270314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20271107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261022T150000
DTEND;TZID=America/New_York:20261022T160000
DTSTAMP:20261022T130050
CREATED:20261016T155046Z
LAST-MODIFIED:20261016T155309Z
UID:7873-1792681200-1792684800@bridge2ai.org
SUMMARY:Bridge2AI × VUMC ADVANCE Forum on ELSI Issues in AI: “From Prediction to Practice: Generating Evidence for Healthcare AI"
DESCRIPTION: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.\n\nBio: 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.\n\nhttps://vanderbilt.zoom.us/j/93710289037\nMeeting ID: 937 1028 9037\n\n\n\n\n\n\n\n\n\n\n\n 
URL:https://bridge2ai.org/event/bridge2ai-x-vumc-advance-forum-on-elsi-issues-in-ai-from-prediction-to-practice-generating-evidence-for-healthcare-ai/
END:VEVENT
END:VCALENDAR