Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...
Multimodal model delivers personalized risk estimates and clinician-adjustable insights to support surgical decisions.
UB and Roswell Park researchers created MIRACLE, an AI tool that combines clinical data, CT imaging and LLM insights to ...
AI models have been helping with predictions for a while now. Doctors, weather forecasters and stock brokers all use AI to try to peek into the future. Inside the Leibniz Supercomputing Centre in ...
Abstract: Cervical cancer is still an important women's wellness problem worldwide, and early diagnosis is essential for its prognosis. Classification of cervical cell abnormalities is complex due to ...
The risk of bias was evaluated using the Quality In Prognosis Studies tool and the Prediction model Risk Of Bias Assessment Tool by 2 investigators (MMS and MAS) independently. A narrative synthesis ...
Abstract: Accurate battery lifetime estimation is crucial for health management and system safety. Data-driven research yields extensive feature sets, yet optimal feature selection is often impeded by ...
Patients who received a combination of traditional therapies and complementary and alternative medicine were less likely to receive endocrine therapy and radiation versus patients treated exclusively ...
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