Experts across disciplines examine the promise and opportunities in artificial intelligence in the medical sciences during a recent AIMI virtual conference.
Artificial intelligence’s remarkable ability to ingest huge amounts of data, make sense of images, and spot patterns that escape even the most-skilled human eye has inspired hope that the technology will transform medicine. Realizing the full potential of this opportunity will require the combined efforts of experts in computer science, medicine, policy, mathematics, ethics and more.
This interdisciplinary approach was the focus of conversation during the Center for Artificial Intelligence in Medicine & Imaging (AIMI) virtual conference on Aug. 5. The event, featuring world experts in computer science, medicine, industry, and government, looked at emerging clinical machine learning technologies with focused discussion around technical innovations, data ethics, policy, and regulation. The symposium was led by Matthew Lungren, Stanford associate professor of radiology and AIMI co-director, and Serena Yeung, assistant professor of biomedical data science and computer science and associate director of AIMI. The day’s discussions were organized around the theme of “consilience” — a term that describes the emergence of a new academic discipline arising when experts from different fields interact in an open discussion and form a new area.