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Large language models could impact breast imaging reports classification

Use of publicly available large language models (LLMs) resulted in changes in breast imaging reports classification that could have a negative effect on patient management, according to a new international study published today in the journal Radiology, a journal of the Radiological Society of North America. ....

United States , New York , Noord Holland , Memorial Sloan Kettering Cancer Center , Google Bard , Blake Christianson , Marco Curti , Ritsem Mann , Andrea Cozzi , Stefania Rizzo , Simone Schiaffino , Andri Hidber , Ospedaliero Cantonale , Tianyu Zhang , Luca Bonomo , Netherlands Cancer Institute , Imaging Institute Of Southern Switzerland , Radiological Society Of North America , Radiological Society , North America , Google Gemini , Imaging Institute , Southern Switzerland , Ente Ospedaliero Cantonale , Breast Imaging Reporting , Data System ,

GPT-4, Google Gemini fall short in breast imaging classification, study finds

GPT-4, Google Gemini fall short in breast imaging classification, study finds
medicalxpress.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from medicalxpress.com Daily Mail and Mail on Sunday newspapers.

New York , United States , Memorial Sloan Kettering Cancer Center , Noord Holland , Andrea Cozzi , Ritsem Mann , Ospedaliero Cantonale , Google Bard , Simone Schiaffino , Imaging Institute Of Southern Switzerland , Netherlands Cancer Institute , Google Gemini , Imaging Institute , Southern Switzerland , Ente Ospedaliero Cantonale , Breast Imaging Reporting , Data System , New York City , Katja Pinker , Multilanguage Study ,

Collaborative Modeling to Compare Different Breast Cancer Screening Strategies: A Decision Analysis for the US Preventive Services Task Force | Breast Cancer | JAMA

This modeling study uses Cancer Intervention and Surveillance Modeling Network models and national data on breast cancer incidence, mammography ....

United States , University Of Texas , Sarahm Temkin , Gil Quessep , Van Ravesteyn , Ya Chen Tina Shih , Julie Mcgregor , Ying Lu , Munoz Medina , Linn Abraham , Hannah Johnson , Adela Biosciences , Yifan Lu , Amy Trentham Dietz , Elizabeth Webber , Doug Owens , Thomas Lawler , Amy Knudsen , Tracy Wolff , Jillian Henderson , Jennie Martin , Claudia Seguin , Jennifer Croswell , Md Office Of Research On Women Health , Us Department Of Health , National Comprehensive Cancer Network ,

GPT-4, Google Gemini Fall Short in Breast Imaging Classification

GPT-4, Google Gemini Fall Short in Breast Imaging Classification
itnonline.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from itnonline.com Daily Mail and Mail on Sunday newspapers.

Noord Holland , Memorial Sloan Kettering Cancer Center , New York , United States , Simone Schiaffino , Ospedaliero Cantonale , Ritsem Mann , Andrea Cozzi , Google Bard , Netherlands Cancer Institute , Imaging Institute Of Southern Switzerland , Radiological Society Of North America , Radiological Society , North America , Google Gemini , Imaging Institute , Southern Switzerland , Ente Ospedaliero Cantonale , Breast Imaging Reporting , Data System , New York City , Katja Pinker ,

Study Finds Sisters of Women With High Breast Cancer Risk Share Common Factors

Sisters of women with high breast cancer risk share similar risk factors, including high polygenic scores, benign breast disease history, and denser breast tissue. ....

Image Credit , Karolinska Mammography Project , Risk Prediction , Breast Cancer , Multi Generation Register , Breast Imaging Reporting , Data System , Ovarian Analysis , Disease Incidence , Carrier Estimation Algorithm , Risk Factors , Benign Breast Disease , Dense Breast Tissue , High Polygenic Scores , Karolinska Mammography Project For Risk Prediction Of Breast Cancer ,