ACERCA DE ESTE EPISODIO
Dr. Reni Butler discusses AsymMirai, interpretable mammography-based deep learning model for breast cancer risk prediction with Jon Donnelly, Luke Moffett, Dr. Schwartz, and Dr. Joseph Lo.
Inglés
Estados Unidos
EN ESTE EPISODIO
TRANSCRIPCIÓN 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
BUSCAR EPISODIOS ANTERIORES
Buscar episodios anteriores de Radiology Podcast | RSNA.
OTROS EPISODIOS EN ESTE PODCAST
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 identifies areas of su…
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. Together, they discuss the…
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 may offer limited c…
Dr. Ashwin Singh Parihar sits down with Dr. Louise Emmett 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 ENZA-p trial run by ANZUP cancer…
Dr. Refky Nicola welcomes back Dr. Kate Hanneman to discuss new research examining the link between long-term air pollution exposure and coronary atherosclerosis detected on cardiac CT. Together, they explore key findings on plaque burden, sex-specific differences, cumulative exposure risks, and th…
Descargo de responsabilidad: El podcast y el arte incluidos en esta página son de The Radiological Society of North America, que es propiedad de su propietario y no está afiliado ni respaldado por Listen Notes, Inc.
EDITAR
Gracias por ayudar a mantener actualizada la base de datos de podcasts.
