Predictions for IT and Imaging Informati...

Dr. Ashwin Singh Parihar sits down with to discuss how post-therapy Lutetium 177 PSMA SPECT CT may help predict overall survival in patients with metastatic castration resistant prostate cancer and shape future treatment decisions. Drawing from the ENZAPI trial, they explore quan ... Show More

Dr. Siddhant Dogra sits down with Dr. Su Hwan Kim to discuss how reader experience influences the performance and real world utility of large language models for brain MRI differential diagnosis. Together they explore AI assisted decision making, automation bias, radiology traini ... Show More

Dr. Reni Butler discusses career advice for early, mid, and late career radiologists, mentorship, and work life integration with Dr. Stamatia Destounis and Dr. Mark Mullins. This episode was first published Oct 10, 2023 

<p>In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, and Bernard S. Chang, MD, MMSc, a neurologist and dean for medical education at Harvard Medical School, discuss how AI will change medical education, admissions, and teaching the future generation of phys ... Show More

<p>Can AI augment radiological processes, imaging analysis, and diagnosis? In this Q&A, Saurabh Jha, MBBS, MRCS, MS, an associate professor of radiology at the University of Pennsylvania, joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss how AI could ... Show More

Dr. Andy Southerland talks with Dr. Adam Rodman about the implications of large language models in clinical reasoning and diagnostics. Read the related article on arXiv.  Disclosures can be found at Neurology.org. 

<p>Can AI enhance the speed and efficiency of interpreting ultrasounds and echocardiograms, thereby minimizing diagnostic errors? In this Q&A, Rima Arnaout, MD, a cardiologist and associate professor of medicine at the University of California-San Francisco, joins JAMA's Editor i ... Show More

Please join us for this interview with Drs. Lundeen, Avery, and Kuo, as we look back on top trends in 2023 and look forward to the future of radiology in 2024 and beyond. Topics discussed include the radiology job market, artificial intelligence, teleradiology, nuclear medicine t ... Show More

Dr. Nitin Seam chats with Dr. Sara Murray and Dr. Avraham Cooper about their articles, "Large Language Models and Medical Education: Preparing for a Rapid Transformation in How Trainees Will Learn to Be Doctor" and "AI and Medical Education — A 21st-Century Pandora’s Box." 

<p>Together, Lloyd and Vijay chatted about how AI could change the practice of medicine, and what the implications are for medical students now and in the future. </p><p>join Lloyd and Vijay as they discuss AI and medical education—from how students learn to how doctors become li ... Show More

In this episode of Building the Future, Dan is joined by Dr. Weifeng Zhong, Senior Research Fellow at the Mercatus Center at George Mason University. They discuss Dr. Zhong’s work in developing the open source Policy Change Index (PCI) project, which leverages machine learning to ... Show More

How will we detect disease in the future, and how might new technology aid our well-being? In this episode, Dr. Oz sits down with entrepreneur Peter Diamandis and former FDA commissioner Rob Califf inside The Vatican to uncover the truth about the future of medicine. From the lat ... Show More

<p>AI has potential to meaningfully improve patient care. How will AI advances help clinicians focus on the best use of their time and talents? In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews Suchi Saria, PhD, MSc, an associate professor in com ... Show More