How are medical researchers and industry experts developing and using artificial intelligence (AI) with medical imaging? A panel discussion with faculty and industry experts will explore topics such as the responsible use of AI in medical research, clinical uses of AI, and career development in the field.
Date: Thursday, March 26, 2026
Time: 12:00 pm - 1:30 pm CT
Location: Regenstein Library, Room 122A-B
Featured panelists will include:
- Maryellen L. Giger, PhD’85, the A.N. Pritzker Distinguished Service Professor of Radiology, Committee on Medical Physics, and the College at the University of Chicago. A pioneer of artificial intelligence in medicine, she developed the first computer-aided diagnosis system to gain FDA approval that outputted a likelihood of a lesion being cancerous. For over 30 years, she has conducted research on computer-aided diagnosis, including computer vision, machine learning, and deep learning, in the areas of breast cancer, lung cancer, prostate cancer, brain injury, lupus, and bone diseases, and COVID-19.
- Erdoğan Çeşmeli, MBA’06, Chief Strategy, Marketing & Commercial Officer, Molecular Imaging & Computed Tomography, GE Healthcare. His team orchestrates the multi-year strategy for the division, leads the product marketing, drives the evidence generation for the value proposals, and executes the go to market globally. Major themes include devices like imaging equipment, disease areas such as cardiology, oncology, and neurology, digital, including AI, Software as a Service, and data.
- Frederick Howard, MD, is an Assistant Professor at the University of Chicago and a physician-scientist and medical oncologist focusing on computational methods to improve breast cancer treatment. Dr. Howard’s work focuses on developing artificial intelligence-based tools to improve the precision and equity of breast cancer care. His research centers on integrating clinical, pathologic, genomic and imaging data to build computational models to guide treatment decisions. His work includes the development of digital assays for recurrence risk and chemotherapy benefit, aiming to create affordable, scalable alternatives to traditional genomic tests.
- Patrick La Riviere, PhD’00, is a Professor of Radiology, Committee on Medical Physics, and the College at the University of Chicago. He works on computational imaging modalities such as computed tomography and computational microscopy, where a computational problem must be solved to form images from the acquired raw data. He notes that new AI methods hold great promise for these modalities but also require judicious deployment.
A pizza lunch will be provided; the maximum in-person attendance is 90. Open to all UChicago faculty, students, and staff with registration.