Can AI Help Physicians Detect Sepsis?

CME available on the AMA Ed Hub™: https://edhub.ama-assn.org/ama-education/audio-player/10.1001/ama.2025.0002174 Sepsis: at its inception, it is difficult to recognize but easy to treat; left unattended, it becomes easy to recognize and difficult to treat. As the adage states, sepsis is notoriously difficult to recognize in its early stages, due to the lack of a definitive diagnostic tool. When left undetected, the outcomes can be devastating. But what if artificial intelligence (AI) could be utilized to detect sepsis in its early stage? In this episode of Clinically Significant™, hosts Jodi Abbott, MD, MSc, MHCM, Maylyn Martinez, MD, MSc, and Avir Mitra, MD, explore the use of AI-tools for early detection of sepsis, including advancements as well as challenges to implementation and generalization. Learn more about sepsis and artificial intelligence on the AMA Ed Hub™. Episode Guests: Amy Hassell, MSN, BSN, RN: Chief Nursing Officer at UCHealth CT Lin, MD: Chief Medical Information Officer (CMIO) at UCHealth-Colorado Karandeep Singh, MD, MMSc: Jacobs Chancellor's Endowed Chair and Chief Health AI Officer at UC San Diego Health Clinically Significant™ is hosted by: Jodi Abbott, MD, MSc, MHCM: Professor of ObGyn at Boston University Chobanian & Avedisian School of Medicine and Medical Director of the Education Center Curriculum and Outreach for the American Medical Association (AMA) Maylyn Martinez, MD, MSc: Assistant Professor of Medicine at the University of Chicago and former contributing host, writer, and producer for the JAMA Clinical Reviews podcast Avir Mitra, MD: Associate Professor of Emergency Medicine at NYU Langone and contributing editor at Radiolab (WNYC) CME Information: Accreditation Statement: The American Medical Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. Designation Statement: The AMA designates this Enduring Material activity for a maximum of 0.5 AMA PRA Category 1 Credit(s). Physicians should claim only the credit commensurate with the extent of their participation in the activity. Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to:  0.5 Medical Knowledge MOC points in the American Board of Internal Medicine's (ABIM) Maintenance of Certification (MOC) program; ​ 0.5 Self-Assessment points in the American Board of Otolaryngology - Head and Neck Surgery's (ABOHNS) Continuing Certification program;  0.5 MOC points in the American Board of Pediatrics' (ABP) Maintenance of Certification (MOC) program; and  0.5 Lifelong Learning points in the American Board of Pathology's (ABPath) Continuing Certification program  0.5 Credit towards the CME Requirement(s) of the American Board of Surgery's Continuous Certification program It is the CME activity provider's responsibility to submit participant completion information to ACCME for the purpose of granting MOC credit.    CME Disclosure Statement: Unless noted, all individuals in control of content reported no relevant financial relationships. If applicable, all relevant financial relationships have been mitigated.        

There are no comments yet.

Please log in to write the first comment.