How AI is Solving Medical Imaging’s Biggest Problems

When the disruptive power of Artificial Intelligence is discussed, the fate of the radiologist is often the cautionary tale: a specialist whose job is supposedly obsolete. In fact, the opposite is true. We face a severe global shortage of medical imaging specialists, worsened by a 10% annual increase in studies. Not to mention burnout, as specialists have to interpret more than one image per second just to keep up. AI is emerging not as a threat, but as a critical complement. AI is poised to offer opportunities beyond better diagnosis and access to care.  Join us as we explore the future of diagnostic imaging  with our guest, Dr. Akshay Chaudhari, Assistant Professor of Radiology and Biomedical Data Science at Stanford, and the co-founder of Cognita Imaging, a pioneering clinical AI company. Hosted by: Alexa Raad and Leslie Daigle. Further reading: The growing demand for imaging services: key trends shaping the future Deep learning in radiology: an overview of the concepts and a survey of the state of the art with focus on MRI Using AI to Catch Aneurysms in Routine, Nonvascular Chest CTs Data-Efficient AI for Accelerating MRI Acquisition Mandating Limits on Workload, Duty, and Speed in Radiology The views and opinions expressed in this program are our own and may not reflect the views or positions of our employers.