
AI Models Miss Atypical Alzheimer’s Brain Scans
Deep learning models trained to spot Alzheimer’s disease are systematically blind to atypical forms of brain decay, raising doubts about their readiness for real-world clinics.
Discover the newest research about AI innovations in 🤖 Machine Learning.

Deep learning models trained to spot Alzheimer’s disease are systematically blind to atypical forms of brain decay, raising doubts about their readiness for real-world clinics.

Hospitals waste millions of blood culture tests on low-risk patients while missing critical infections, but a new machine learning model shows we can find more cases without running a single extra test.

Drug discovery is no longer just a biology problem; it is a massive infrastructure war.

A new clinical trial shows that AI can guide untrained operators to perform deep vein thrombosis scans, but the real value lies in filtering the patient queue rather than replacing human specialists.

A new study shows that even advanced vision models struggle to predict preterm birth when tested on new hospital equipment.

An aggressive regulatory gamble just paid off, positioning a major challenger to disrupt the established ultrasound market.

A simple scalp EEG could soon prevent patients from undergoing failed brain surgery for severe OCD.

Predicting which scoliosis patients will suffer from spinal imbalance after surgery has always been an educated guess, but a new machine learning model aims to replace intuition with math.

The UK is betting £75 million that algorithms can replace animals in drug safety trials, but the regulatory hurdles remain immense.

Hospital buyers assume all top-tier radiology AI performs the same, but new head-to-head data reveals critical trade-offs that could compromise patient care if ignored.