Machine Learning
Every article we have published: research summaries, product thinking and developments in health AI.
Machine Learning · 2,184 articles
Compact AI Predicts Hepatitis B Risk With Less Data
Trimming clinical data inputs by four-fifths barely degrades AI performance when assessing chronic hepatitis B severity during hospital admission.
AI Predicts Fever Persistence in Cancer Patients
Predictive algorithms could curb unnecessary CT scans and antibiotic changes in cancer patients by identifying who will stop running a fever.
Machine Learning Maps Immune Exhaustion in Colorectal Cancer
A new five-gene signature identified by machine learning links CD8+ T-cell exhaustion directly to poor survival and immunotherapy failure in colorectal cancer.
Machine Learning Spots Erectile Dysfunction in Blood Tests
A nine-marker blood test model can flag erectile dysfunction without subjective questionnaires or invasive exams.
Symbolic AI Digital Twins Guide Cancer Treatment
Black-box machine learning models struggle to gain oncologist trust because they cannot explain why a specific drug combination will kill a tumor.
AI Sleep Model Scores Multi-Center Brain Wave Data
A flexible deep learning model bypasses strict electrode requirements to analyze sleep patterns at sub-30-second resolutions across diverse clinics.
Algorithms Predict Long Stays After Cervical Spine Surgery
Preoperative algorithms can identify which spine surgery patients will face prolonged hospital stays before they enter the operating room.
AI Scans CT Data for Hidden Chronic Diseases
A single abdominal scan contains diagnostic signals far beyond its initial clinical order.
Teens Using AI Chatbots Need More Mental Health Help
General-purpose chatbots are becoming an informal triage layer for struggling teenagers, but they are failing to replace human care.
Zocdoc Opens Scheduling Access to Autonomous AI Agents
While major enterprises block autonomous AI agents over security risks, Zocdoc is inviting them directly into its scheduling network.
Graph AI Improves Retinal Disease Diagnosis Accuracy
A new graph reasoning model outperforms eye specialists in retinal angiography while showing clinicians exactly how it reached its diagnosis.
FDA Clears AI Tool for CT Scans
Radiologists often spend critical minutes manually isolating blood vessels from bone in head and neck imaging during acute stroke evaluations.
Also on LinkedIn
AI Health Hub posts the same research summaries on LinkedIn every day. More than 3,000 people follow it there.