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@MonicaTincopa 3 years ago
Application of #MachineLearning models continue to show real promise in clinical medicine. #DeepLearning recurrent neural network models outperformed traditional linear regression models to identify patients with #HCV at high risk of developing #HCC. https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2770062?guestAccessKey=62adc2c2-bf09-495e-a501-1a20d52bf098&utm_source=jps&utm_medium=email&utm_campaign=author_alert-jamanetwork&utm_content=author-author_engagement&utm_term=1m https://t.co/vWqofKqqBi
@GnyHighlights 4 years ago
Essential #ArtificialIntelligence & #MachineLearning terms. Real-Time Health Systems (RTHS): Proactive & collaborative #healthcare delivery systems allowing quick decision making. #AI & #ML sensing & responding to the needs of the patients & #MedicalStaff https://bit.ly/3d4Q8Qr
@axial_3D 5 years ago
This Thursday, @cathycoomber and @HaslamNiall join the #AI track at @beltech2019 to discuss the use of #MachineLearning in #MedicalImaging, and what it means for patients. Don't miss 'Patient Data Made Real: Applying Machine Learning to Medical Imaging'! #Beltech19 https://t.co/KwTO3ubn5R