AI detects early depression for better treatment results
A new AI system identifies a reversible "pre-disease" window for depression, proving that treatment timing matters more than the tool itself.
Six AI experiments target NHS waiting lists
Throwing money at healthcare algorithms is easy, but proving they actually save clinical time is where the real battle begins.
Impact on Cost and Expert Time of Data-Efficient Deep Learning for Medical Image Segmentation
A new human-in-the-loop training method proves that AI can slash the grueling hours radiologists spend labeling medical images without sacrificing clinical accuracy.
Doctors Draw a Line on Healthcare AI
As artificial intelligence quietly shifts from an administrative helper to a clinical decision-maker, physicians are demanding veto power over the algorithms.
AI Predicts Heart Surgery ICU Overstay But Stumbles
A new machine learning model can help hospitals predict which heart surgery patients will get stuck in the ICU, but its performance drop in external testing highlights a persistent hurdle for clinical AI.
AI turns surgical video into billing data
Surgeons spend hours documenting procedures, yet manual reports omit up to seventy percent of critical clinical information.
AI predicts immunotherapy success across multiple cancers
A new AI model predicts immunotherapy success across different cancers by translating complex genetic data into clear biological concepts.
AI challenges genomic testing in breast cancer
A newly validated artificial intelligence model is challenging the expensive, slow-moving monopoly of genomic sequencing in breast cancer care.