Machine Learning Is Enabling A New Era For Precision Medicine And Pharmacogenomics

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...
IEEE

Quantum Machine Learning in Medical Image Analysis: From Diagnostics to Surgery Planning

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.
Journal of Medical Internet Research

Digital Phenotyping for Adolescent Mental Health: Feasibility Study Using Machine Learning to Predict Mental Health Risk From Active and Passive Smartphone Data

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 ...
Medical Xpress

In bone imaging, machine learning accelerates research progress and uncovers hidden patterns

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, could help orthopedic physicians predict when a patient might encounter a bone ...
RAPS

IMDRF drafts framework on best practices for using AI in medical devices

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 ...
Fierce Healthcare

OpenEvidence rolls out AI medical coding feature

OpenEvidence released an artificial intelligence-powered medical coding feature embedded in its clinical AI assistant. The new feature, called Coding Intelligence, provides automatic Current ...
Fierce Healthcare

Health system AI adoption surges in 2026 with execs reporting increased ROI: survey

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 ...
The Lancet

When to and when not to use machine learning in risk prediction models

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

Traditional machine learning in biomedical image analysis: before you go too deep

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

UniRG: Scaling medical imaging report generation with multimodal reinforcement learning

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 ...
Times Union

Astronauts say space station's ultrasound machine was critical during medical crisis

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 ...