Impact of Patient Characteristics on Dig...

Dr. Lauren Kim and first author Dr. Daniel Marinescu discuss this study comprised of approximately 1,500 patients which determines the relative importance of specific CT imaging features used to distinguish radiologic patterns in fibrotic interstitial lung disease. This study ide ... Show More

Host Dr. Celina Nahyun Jo sits down with Dr. Perry Pickhardt to explore how opportunistic CT screening is transforming routine imaging into a powerful tool for cardiometabolic risk assessment, bone health evaluation, liver disease detection, and body composition analysis. Togethe ... Show More

Dr. Linda Chu speaks with Dr. Eddy Zandee and Dr. Kirk Davis about multidisciplinary expert consensus recommendations aimed at reducing the use of low yield radiographs and improving imaging appropriateness across healthcare settings. They explore which common radiographic exams ... Show More

<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

<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

<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

<p>Dr. Halley Alexander talks with Dr. Sándor Beniczky about the use of artificial intelligence to accurately interpret routine clinical electroencephalograms.</p> <p>Read the related article in <a href= "https://jamanetwork.com/journals/jamaneurology/fullarticle/2806244" target= ... Show More

<p class="MsoNormal"><span style= "color: black; mso-themecolor: text1;">Artificial Intelligence is changing the way doctors perform surgery. Can a deep learning neural network use real-time intraoperative retinal imaging to improve vitreoretinal microsurgery? Dr. Rajesh Rao disc ... Show More

<p>In this episode of NEJM AI Grand Rounds, hosts Raj Manrai and Andy Beam interview <a href='https://mcdn.podbean.com/mf/web/mheebcnd7tznbm5q/Bio_Morales_Hofmann.pdf'>Courtney Hofmann</a>, a mother whose use of ChatGPT led to her son’s diagnosis of tethered cord syndrome after s ... Show More

<p><a href='https://profiles.stanford.edu/emily-alsentzer'>Dr. Emily Alsentzer</a> joins hosts Raj Manrai and Andy Beam on NEJM AI Grand Rounds to discuss the evolution of natural language processing (NLP) in medicine. A Stanford faculty member and expert in clinical AI, Emily sh ... Show More

In this episode, experts discuss a crucial 2024 document outlining appropriate use criteria for multimodality imaging in cardiovascular evaluation before non-emergent non-cardiac surgery, addressing the rising annual surgeries and associated cardiac risks. They delve into balanci ... Show More

In this podcast, APTA Ethics and Judicial Committee member Rebecca Edgeworth Ditwiler, PT, DPT, PhD, asks three experts about the most pressing ethical issues related to artificial intelligence, one of the most rapidly evolving frontiers in health care. They provide insights abou ... Show More

<p>On this episode, we discuss three recent papers out in Nature Medicine this week, all examining the deployment of Bayesian Health's AI platform in a clinical setting: Two prospective studies focused on <a href="https://www.nature.com/articles/s41591-022-01895-z">clinician adop ... Show More