We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...

Humn Health offers an AI-based healthcare platform that uses smartphone sensors and wearable data to detect pregnancy-related risks and other health symptoms.

For many ILD patients, adherence to treatment and engagement with supportive therapies such as pulmonary rehabilitation can ...

Latus Bio, Inc. (Latus), a biotechnology company pioneering advances in adeno-associated virus (AAV) gene therapy, today announced a major expansion of its artificial intelligence and machine learning ...

Machine learning predicted ASD using sex-specific prenatal/perinatal factors: pregestational BMI, socioeconomic status, maternal age, and more.

The convergence of technology and healthcare is changing the way we approach chronic conditions like diabetes. Artificial Intelligence (AI) is ...

Introduction: Diabetic kidney disease (DKD) represents the predominant form of chronic kidney disease (CKD) linked with diabetes mellitus. The application of artificial intelligence holds promise for ...

Abstract: The Modular Multilevel Converter (MMC) has garnered significant interest recently due to its superior harmonic performance and improved efficiency in high-voltage direct current electrical ...

Please provide your email address to receive an email when new articles are posted on . Machine learning models can predict which patients receiving lung cancer therapy may need urgent care visits.