Abstract: Quantum Machine Learning (QML) is an emerging, powerful paradigm at the intersection of quantum computing and artificial intelligence, with the potential to enhance medical image analysis.

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 ...

The International Medical Device Regulators Forum (IMDRF) has released a draft technical document to create a harmonized set of best practices in mitigating risks associated with the use of artificial ...

Seventy-five percent of U.S. health systems are now using at least one artificial intelligence application, up from 59% in 2025, a new survey from Eliciting Insights found. The go-to market research ...

Chris is a writer and editor with over 10 years of experience covering games and has a bachelor's degree in History from the University of Central Lancashire. He's mainly focused on guides, but has ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...

AI can be used to produce clinically meaningful radiology reports using medical images like chest x-rays. Medical image report generation can reduce reporting burden while improving workflow ...

CAPE CANAVERAL, Fla. (AP) — The astronauts evacuated last week from the International Space Station say a portable ultrasound machine came in “super handy” during the medical crisis. During their ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.