AI diagnoses kidney disease with fewer labeled scans
A new active learning model proves that medical AI does not need massive, expensive datasets to outperform human-labeled benchmarks.
New benchmark exposes AI medication safety flaws
Hospital IT departments eyeing generative AI for medication safety may want to pause, as a new benchmark reveals that some top-tier models behave like hyper-anxious assistants that flag almost everything as a hazard.
Brain scans predict teen depression one year early
A new computational model uses a single brain scan to predict adolescent anxiety and depression before symptoms fully emerge.
Replacing Doctors With Code
The federal push to let autonomous AI diagnose patients and prescribe drugs is setting up a dangerous collision between political speed and medical safety.
AI predicts severe drug-induced liver injury without biopsies
A new machine learning model uses dual ultrasound measurements to identify severe liver damage, offering a way to bypass painful and risky biopsies.
EMA Accepts AI Clinical Trial Evidence
Regulators just crossed a digital rubicon by accepting AI-generated pathology data to evaluate metabolic liver disease treatments.
New AI maps overlooked family disease genes
Standard genetic tests miss the complex networks of DNA variants that cause multiple diseases in the same family, but a new topological AI approach could change how we find them.
The Radiology AI Report — June 2026
AI-Based Post-processing for Artefact Mitigation in Radiography: A Systematic Review
AI-Designed Universal Vaccine Passes Human Trial
A new needle-free vaccine targeting shared viral structures could finally end our endless cycle of booster reformulations.
AI predicts gastric cancer immunotherapy markers
A new multi-task AI model predicts two critical gastric cancer immunotherapy biomarkers from routine biopsy slides, but its real-world drop in accuracy highlights a persistent industry bottleneck.