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X-WR-CALDESC:Events for BRIDGE2AI
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DTSTART;VALUE=DATE:20260518
DTEND;VALUE=DATE:20260522
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SUMMARY:2026 AMIA Amplify Informatics Conference
DESCRIPTION:Join us at the 2026 AMIA Amplify Informatics Conference in Denver\, CO\, for two exciting panels:  \nBridge2AI-Voice: Advancing Clinical AI Through Ethically Sourced Voice Biomarkers 5/19/2026 | 8:00 AM – 9:15 AM \nVoice is emerging as a powerful\, non-invasive biomarker that supports early disease detection\, monitoring\, and personalized care. The ubiquity of ambient listening technologies\, ranging from smartphones and telehealth platforms to wearables and clinical monitoring systems\, creates new opportunities to capture real-world voice data at scale. As these data streams expand\, it becomes increasingly important to develop trustworthy\, clinically grounded AI models that can responsibly leverage voice signals while safeguarding privacy and equity. The NIH-funded Bridge2AI-Voice consortium is building one of the largest clinically validated\, ethically sourced voice datasets to date\, integrating audio recordings with phenotype and clinical metadata across multiple disease domains. This panel brings together leaders in clinical informatics\, translational AI\, and workforce development to discuss how the consortium’s standards\, training programs\, and governance frameworks prepare the field for a future where voice-derived insights can augment screening\, \nPhilip Payne\, PhD\, FACMI\, FAMIA – WashU Medicine and BJC HealthcareAndrea Krussel\, MA – Washington University in St. LouisWilliam Hersh\, MD\, FACMI\, FAMIA – Oregon Health & Science UniversityPhillip Jenkins\, MD – Oregon Health & Science University \n  \nBridge2AI at Year 4: The Operational Reality of Ethical\, AI-Ready Data Generation (Panel)5/20/2026 | 10:15 AM – 11:30 AM \nWhile a previous AMIA session introduced the vision of the NIH Bridge2AI consortium\, Year 4 marks the transition from architectural design to tangible impact. This panel presents the consortium’s pioneering flagship data releases\, demonstrating that AI-readiness is not merely a technical standard but a sociotechnical achievement. Panelists representing the four Bridge2AI Grand Challenges will showcase >30TB of newly available multimodal data\, highlighting how Ethical Scaffolding and Team Science were operationalized to address critical Implementation bottlenecks. We will examine specific utilization cases: how privacy ethics drove the development of watermarking tools for diabetes data; how transdisciplinary teaming enabled the harmonization of 1.6 billion EHR rows across 14 hospital sites; how the SAFE ethical framework shaped the release of voice biomarkers; and how robust data and tools standards help address “black box” AI/ML concerns. This session offers a practical roadmap for researchers to access\, utilize\, and trust these ethically sourced resources.  \nMónica Muñoz Torres\, PhD – University of Colorado AnschutzAaron Lee\, MD\, MSCI – Washington University in St. Louis.Satrajit Ghosh\, PhD – Massachusetts Institute of TechnologyMónica Muñoz Torres\, PhD – University of Colorado AnschutzYulia Levites Strekalova\, PhD – University of FlordaTimothy Clark\, Ph.D. – University of Virginia \nFor more information\, please visit: https://amia.org/education-events/amplify-informatics-conference
URL:https://bridge2ai.org/event/2026-amia-amplify-informatics-conference/
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DTSTART;TZID=America/New_York:20260915T150000
DTEND;TZID=America/New_York:20260915T160000
DTSTAMP:20260909T065728
CREATED:20260901T142806Z
LAST-MODIFIED:20260901T142806Z
UID:7722-1789484400-1789488000@bridge2ai.org
SUMMARY:Bridge2AI Discussion Forum on Emerging ELSI Issues: “Patient Trust\, Consent\, and the Ethics of Secondary Ambient AI Scribe Data Use"
DESCRIPTION:  \nAs ambient AI scribes rapidly enter routine healthcare\, they generate rich\, highly sensitive data streams\, including audio\, transcripts\, and clinical notes\, that raise questions regarding downstream reuse. This talk presents findings from a cross-sectional study (n=309) evaluating patient preferences for consent and comfort and acceptability regarding the secondary use of scribe-generated data. While patients accept clinical and quality improvement uses\, comfort drops significantly for developing new AI tools\, and acceptability falls sharply for identifiable data and commercial uses. We also find that patients consistently want clear notification\, which lies in tension with the increasing ubiquity and invisibility of ambient AI use. In this presentation\, we will discuss how these empirical patient-defined boundaries could shape governance and consider how emerging AI-enabled workflows can support research and ethical values. \nBio: Jodyn Platt  is an Associate Professor of Learning Health Sciences at the University of Michigan. Her work explores how data and technology can be used responsibly to improve health while earning and sustaining public trust. She studies the ethical\, social\, and policy questions that arise as health systems become more data-driven and powered by artificial intelligence. She works closely with patients\, communities\, and healthcare organizations to understand how people think about and experience data use in health and medicine.
URL:https://bridge2ai.org/event/bridge2ai-discussion-forum-on-emerging-elsi-issues-patient-trust-consent-and-the-ethics-of-secondary-ambient-ai-scribe-data-use/
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20261020
DTEND;VALUE=DATE:20261022
DTSTAMP:20260909T065728
CREATED:20260901T190552Z
LAST-MODIFIED:20260901T190714Z
UID:7730-1792454400-1792627199@bridge2ai.org
SUMMARY:Bridge2AI Fall 2026 All-Hands Meeting & Open House
DESCRIPTION:  \nThe 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. 
URL:https://bridge2ai.org/event/bridge2ai-fall-2026all-hands-meeting-open-house/
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