Responsible adoption of multimodal artificial intelligence in health care: promises and challenges.
Exploring multimodal AI in healthcare: promises, challenges, and strategies for equitable patient outcomes. π€π
December 14, 2025
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Discover the newest research about AI innovations in π Public Health.
An integration of deep learning models for effective classification of human activity patterns in disabled people using gesture analysis.
Revolutionary deep learning model achieves 99% accuracy in human activity recognition for disabled individuals! π€π
December 13, 2025
Interrupted Time Series Analysis in Environmental Epidemiology: A Review of Traditional and Novel Modeling Approaches.
Exploring Interrupted Time Series Analysis in Environmental Epidemiology: Key Insights from Recent Research ππ
December 10, 2025
Foundation model based prediction of lung cancer survival using temporal changes in dual time point CT scans.
Lung cancer survival prediction enhanced by dual time point CT scans. π Study shows improved accuracy using foundation models. π©Ί
December 4, 2025
Mapping war trauma: A machine learning approach to predict mental health impacts in Ukraine.
Machine learning predicts mental health impacts in Ukraine’s war, revealing key drivers of PTSD and anxiety. ππ§
December 3, 2025
Personalized fitness recommendations using machine learning for optimized national health strategy.
Personalized fitness via machine learning: XGBoost shows 0.789 MeanIoU, enhancing public health strategies. ππ€
December 1, 2025
Evolving HPV diagnostics: current practice and future frontiers.
Evolving HPV diagnostics: key advancements in detection methods and their impact on cervical cancer screening. ππ¬
November 28, 2025
Artificial Intelligence for Predicting Lung Immune Responses to Viral Infections: From Mechanistic Insights to Clinical Applications.
AI predicts lung immune responses to viral infections, enhancing patient care and treatment strategies. π€π¬οΈ
November 27, 2025
The global epidemiology, risk factors, and mortality prediction of nocardiosis: an easily missed opportunistic infection.
Nocardiosis: 9,750 cases analyzed; 19.8% mortality, 31.7% for disseminated infections. Machine learning predicts risks effectively. ππ¦
November 27, 2025
Interpretable Machine Learning Models for Analyzing Determinants Affecting the Use of mHealth Apps Among Family Caregivers of Patients With Stroke in Chinese Communities: Cross-Sectional Survey Study.
Exploring mHealth app usage among stroke caregivers: 57.2% adoption, key factors include education, age, and motivation. π±π§
November 25, 2025