Radiology AI Papers in a Capsule Series-Episode 1

Radiology AI Podcasts | RSNA

AI-integrated Screening to Replace Double Reading of Mammograms: A Population-wide Accuracy and Feasibility Study. Elhakim et al. Radiology: Artificial Intelligence 2024; 6(6):e230529.

27:28

Chris Nowinski is a former football player at Harvard University and professional wrestler with WWE, World Wrestling Entertainment. After enduring a career-ending head injury, Chris has dedicated his professional life to serving patients and families affected by brain trauma, particularly Chronic traumatic encephalopathy, or CTE, a progressive neurodegenerative disease that develops after repeated head injuries. Jay and Chris discuss the state of head injuries in American athletics, the difference between advocating for head safety at youth and professional levels, Chris’ newest research, and much more. Episode Chapters (00:00) Intro (00:50) changes in the culture around concussions in the past two decades (02:39) padded helmet technology (03:55) concussion reporting in the NFL (10:35) Chris’ career path and concussion history (14:52) connecting with activists who haven’t themselves suffered a traumatic brain injury (17:42) SHAAKE - a new sign to identify concussions (20:53) Unions can help players advocate for safety policies (23:10) final thoughts and goodbye For video episodes, watch on www.youtube.com/@therudermanfamilyfoundation Stay in touch: X: @JayRuderman | @RudermanFdn LinkedIn: Jay Ruderman | Ruderman Family Foundation Instagram: All About Change Podcast | Ruderman Family Foundation To learn more about the podcast, visit https://allaboutchangepodcast.com/…

il y a un an 6:20

MP3•Maison d'episode

In this AI-generated episode of Radiology AI Papers in a Capsule, we explore a groundbreaking study on AI-integrated mammography screening. This research, conducted by Elhakim and colleagues from Odense University Hospital, examines how artificial intelligence can optimize screening workflows while maintaining diagnostic accuracy. We break down the study’s three integration scenarios, their impact on workload reduction, and the clinical significance of AI-assisted double reading. Tune in for an insightful, AI-curated discussion on the evolving role of AI in radiology.

52 episodes

#Science #Fitness #Medicine #Radiological Society of North America (RSNA #Radiology #RSNA

Radiology AI Papers in a Capsule Series-Episode 1

Radiology AI Podcasts | RSNA

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published il y a un an

MP3•Maison d'episode

AI-integrated Screening to Replace Double Reading of Mammograms: A Population-wide Accuracy and Feasibility Study. Elhakim et al. Radiology: Artificial Intelligence 2024; 6(6):e230529.

52 episodes

#Science #Fitness #Medicine #Radiological Society of North America (RSNA #Radiology #RSNA

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In this AI-generated episode of Radiology AI Papers in a Capsule , we explore a groundbreaking study on AI-integrated mammography screening. This research, conducted by Elhakim and colleagues from Odense University Hospital, examines how artificial intelligence can optimize screening workflows while maintaining diagnostic accuracy. We break down the study’s three integration scenarios, their impact on workload reduction, and the clinical significance of AI-assisted double reading. Tune in for an insightful, AI-curated discussion on the evolving role of AI in radiology. AI-integrated Screening to Replace Double Reading of Mammograms: A Population-wide Accuracy and Feasibility Study. Elhakim et al. Radiology: Artificial Intelligence 2024; 6(6):e230529.…

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