8:30 AM - 8:35 AM:
Welcome and introduction
8:35 AM - 8:40 AM:
Award announcements
- Robert F. Wagner Award finalists for conferences 13407 and 13410
- Computer-Aided Diagnosis Best Paper Award, sponsored by:
8:40 AM - 9:20 AM:
Pioneering vision: The journey of building AI for transformative healthcare
Elad Walach, CEO, Aidoc (Israel)
Elad Walach is a co-founder and CEO of Aidoc. He is an expert in AI with visionary business insights in the healthcare space. Since establishing Aidoc in early 2016, Elad led the company through 4 investment rounds bringing the total investment to $250M, drove the commercial availability of 20 product lines, created an install base of over 1,000 global hospitals while growing the company to over 400 employees. Elad began his career in the elite Israeli Defense Force technology program “Talpiot”. He led AI research in the Israeli Air Force where he initiated and managed several teams focused on machine learning and computer vision projects. Elad holds a B.Sc. in Mathematics and Physics from The Hebrew University of Jerusalem and has published multiple academic papers on deep learning.
This keynote is part of the Computer-Aided Diagnosis conference.
9:20 AM - 10:00 AM:
Machine learning in neuroimaging: Understanding heterogeneity of neurologic diseases and building personalized imaging-AI biomarkers
Christos Davatzikos, Univ. of Pennsylvania (United States)
Machine learning has transformed medical imaging in general, and neuroimaging in particular, during the past two decades. We review our work in this field, starting with early contributions on developing personalized predictive markers of brain change in aging and Alzheimer’s Disease, and moving to recent weakly-supervised deep learning methods, aiming to dissect heterogeneity of brain change in neurodegenerative and neuropsychiatric diseases, as well as in brain cancer. We show that disease-related brain changes can follow multiple trajectories and patterns, which have distinct clinical and genetic correlates, thereby suggesting a dimensional approach to capturing brain phenotypes, using machine learning methods.
Christos Davatzikos is the Wallace T. Miller Sr. Professor of Radiology at the University of Pennsylvania, and Director of the AI2D Center (https://ai2d.med.upenn.edu/). Dr. Davatzikos holds a secondary appointment in DBEI and in Electrical and Systems Engineering at Penn, as well as at the Bioengineering and Applied Mathematics graduate groups. He obtained his undergraduate degree from the National Technical University of Athens, Greece in 1989; and his Ph.D. degree from Johns Hopkins in 1994 on a Fulbright scholarship. Dr. Davatzikos then joined the faculty in Radiology, and later in Computer Science, where he founded and directed the Neuroimaging Laboratory. In 2002, Dr. Davatzikos moved to Penn, where he founded and directed the section of Biomedical Image Analysis. His interests are in medical image analysis and machine learning. He oversees a diverse research program focusing on AI methods in Neuroimaging, as well as its application to clinical studies on aging and Alzheimers.
This keynote is part of the Clinical and Biomedical Imaging conference.
Event Details
FORMAT: General session with live audience Q&A to follow each presentation.MENU: Coffee, decaf, and tea will be available outside presentation room.
SETUP: Assortment of classroom and theater style seating.