BRIDGE2AI

Voice AI Summer School Series - Bridge2AI Voice Dataset: Collection, Storage, Access and Analysis
2024-07-19 16:00 - 17:00 (America/New_York)
Please join us on Friday, July 19 at 1:00 PM PST / 3:00 PM CST / 4:00 PM EST for a lecture on the Bridge2AI Voice dataset, including voice data collection, storage, access, and analysis, presented by Satrajit Ghosh, PhD, Alistair Johnson, DPhil, and Alexandros Sigaras, MS. Satrajit Ghosh is a Principal Research Scientist at the McGovern Institute for Brain Research at MIT, Assistant Professor in the Department of Otolaryngology at Harvard Medical School, and lead of the Standards team in the Bridge2AI Consortium. Dr. Johnson is an Independent Consultant for Glowyr, where he provides support for research and development projects specializing in biomedical data and machine learning. Alex Sigaras is an Assistant Professor of Research in Physiology and Biophysics at Weill Cornell Medicine and lead of the Tools Development and Optimization in the Bridge2AI Consortium.
This lecture is the eighth and final webinar in a series from voice AI-experts geared towards the future AI/ML workforce to prepare them work with voice AI. These webinars are hosted by the Skills and Workforce Development (SWFD) team of the Bridge2AI Voice Consortium. The Voice consortium aims to integrate the use of voice as biomarker of health in clinical care to assist in screening, diagnosis, and treatment of a broad range of diseases. The SWFD team is comprised of members from both Oregon Health & Science University (PIs Bill Hersh and David Dorr) and Washington University (PI Philip Payne).
Join the meeting here.

B2AI Discussion Forum on Emerging ELSI Issues: “Policy and Ethics in Innovation: Developing and Applying Ethics and Equity Principles, Terms, and Engagement Tools in AI and Machine Learning”, by Rachele Hendricks-Sturrup, D.H.Sc., M.Sc., M.A.
2024-07-16 15:00 - 16:00
Please join us on Tuesday, July 16th at 12pm-1pm PST/3pm-4pm EST for the lecture “Policy and Ethics in Innovation: Developing and Applying Ethics and Equity Principles, Terms, and Engagement Tools in AI and Machine Learning”, by Rachele Hendricks-Sturrup, D.H.Sc., M.Sc., M.A.
Additional details in the attached documents and message below.
Zoom link: https://uchealth.zoom.us/j/81753058557
Bio: Rachele Hendricks-Sturrup, D.H.Sc., M.Sc., M.A., is the Research Director of Real-World Evidence (RWE) at the Duke-Margolis Institute for Health Policy and former Chief Data Governance Officer at the National Alliance Against Disparities in Patient Health. She recently joined the AcademyHealth Advancing Research on Trust initiative as a Scholar in Residence. Dr. Hendricks-Sturrup holds research and practice expertise as a health scientist, engagement expert, and bioethicist. Her work focuses on examining and addressing ethical, legal, social, and implementation issues at the forefront of policy and health innovation.
Links to previous lecture recordings and terms of the month: https://vimeo.com/showcase/11167277 https://bridge2ai.org/blog/

MIDRC Seminar
2024-06-18 15:00 - 16:30
The Medical Imaging and Data Resource Center (MIDRC) will be hosting an upcoming seminar on Tuesday, June 18. The talk, “Introducing MIDRC Helper AI: A Demonstration of Enhanced Medical Imaging Analysis,” will be held virtually at 3PM ET.
Held on the third Tuesday of the month, the MIDRC seminar series is an opportunity for members of the medical community at large to hear directly from the MIDRC Team! This session will feature research presentations from MIDRC investigators on new and noteworthy advances, and includes a live Q&A session for all attendees.
The speakers for this session will be Maryam Vazirabad, M.S., from RSNA; George Shih, M.D., from Weill Cornell Medical College; and Adam Flanders, M.D., from Thomas Jefferson University.
These virtual seminars are free and open to everyone. We hope you’ll join us throughout the year for these engaging discussions. Seminar registration is required to attend.
For more information on the seminar series, visit the MIDRC website.

AI READI Monthly Speaker Series: “Regulatory Considerations: Health Equity, AI, and Bias”, lecture by Dr. Michael D. Abramoff, MD, PhD
2024-06-18 15:00 - 16:00
Please join us on Tuesday, June 18th at 12pm-1pm PST/3pm-4pm EST for the lecture “Regulatory Considerations: Health Equity, AI, and Bias ” by Dr. Michael D. Abramoff, MD, PhD
Zoom link: https://washington.zoom.us/j/93878229164
Michael D. Abramoff, MD, PhD, is a fellowship-trained retina specialist, computer scientist and entrepreneur. Dr. Michael Abramoff, MD, PhD, (Gold Fellow, ARVO and Fellow, IEEE) is the Robert C. Watzke, Professor of Ophthalmology and Visual Sciences at the University of Iowa, with a joint appointment in the College of Engineering. Dr. Abramoff is also Founder and Executive Chairman of Digital Diagnostics, the Autonomous AI diagnostics company that was the first in any field of medicine to get FDA clearance for an autonomous AI, where the AI makes a medical decision without human oversight, and which, in primary care, it can instantaneously diagnose diabetic retinopathy and diabetic macular edema at the point of care. Dr. Abramoff developed an ethical foundation for autonomous AI that was used during the design, validation, of AI and regulatory and reimbursement pathways for autonomous AI. The results of randomized controlled trials show that it increases clinician productivity, lowers cost, and improves health equity, patient outcomes, and care access. Finally, he is founder of the Healthcare AI coalition, representing many healthcare AI companies, and a founding member and treasurer of FDA’s Collaborative Community on Ophthalmic Imaging. As the author of over 400 peer-reviewed publications in this field, he has been cited over 47,000 times (h-index 80), and is the inventor on 25 issued patents and many patent applications. Dr. Abramoff has mentored dozens of engineering graduate students, ophthalmology residents, and retina fellows. His passion is to use autonomous AI to improve the productivity and accessibility of healthcare.
Link to previous lecture recordings and terms of the month: https://aireadi.org/blog

UCSD COGnition Seminar Series: Who Judges the Robot Judges?
2024-06-06 13:00 - 14:00
Dexter Pratt (UCSD) will explore issues in developing AI agents that evaluate the behavior of other agents. Agent-based judges will almost certainly have problems with bias and consistency, but can we create judges that are good enough to be useful?
Click here to learn more information.

The MIDRC Diversity Calculator: A dynamic tool for measuring and monitoring the representativeness of biomedical datasets
2024-05-21 15:00 - 15:45
The Medical Imaging and Data Resource Center (MIDRC) will be hosting an upcoming seminar on Tuesday, May 21. The talk, “The MIDRC Diversity Calculator: A dynamic tool for measuring and monitoring the representativeness of biomedical datasets,” will be held virtually at 3PM ET.
Held on the third Tuesday of the month, the MIDRC seminar series is an opportunity for members of the medical community at large to hear directly from the MIDRC Team! This session will feature research presentations from MIDRC investigators on new and noteworthy advances, and includes a live Q&A session for all attendees.
The speakers for this session will be Robert Tomek, M.S., and Heather Whitney, Ph.D.
These virtual seminars are free and open to everyone. We hope you’ll join us throughout the year for these engaging discussions. Seminar registration is required to attend.
For more information on the seminar series, visit the MIDRC website.

Bridge2AI Open House
2024-04-18 - 2024-04-19 | NIH Neuroscience Center, 6001 Executive Blvd, Rockville, MD, 20852, United States
