Scientists in a computational imaging lab at Case Western Reserve University are hoping that a novel computerized approach that looks for cancer signals outside the tumor area itself will be a historic leap in diagnosing cancer using just routine CAT scans.
The second annual Artificial Intelligence in Oncology Symposium, held Oct. 19–20, will bring together experts in AI and machine learning as well as clinical, industry and federal agency experts in pathology, radiology, drug discovery, and ethics and policy to speak on research developments, regulatory policy, reimbursement and ethics surrounding AI in oncology. For the health and safety of all attendees, this year’s symposium will take place virtually.
The symposium will feature four focused sessions, with speakers and panel discussions providing unique perspectives on how AI and machine learning are impacting the major areas of radiology, pathology and -omics in the contexts of precision medicine approaches for characterizing tumors and predicting therapeutic response.
Beyond the science, attendees will be able to network and enjoy a special session highlighting some of the brightest rising stars in the field of AI in oncology, selected from abstract submissions. Submit an abstract by Friday, Sept. 11.
Geraldine McGinty, will present the symposium plenary, “Fostering a Strong Ecosystem for AI in Medical Imaging.” McGinty is an internationally recognized expert in imaging economics, chair of the American College of Radiology Board of Chancellors and chief strategy and contracting officer at Weill Cornell Medicine in New York City.
Additional keynotes in drug discovery, ethics and policy, and pathology will be delivered by Russ Altman of Stanford University, Aashima Gupta of Google, Vinay Prasad of the University of California, San Francisco, and Yinyin Yuan of the Institute of Cancer Research, London. Learn more about AIO 2020 speakers.