Explainable AI framework blends calibrated models to predict heart disease risk
Researchers report a feature-weighted, calibrated explainable AI framework that reached 91.07% accuracy on a cleaned heart disease dataset while exposing ...
Tag: Clinical decision support
Treat CKD: Decision support tool brings kidney risk calculations into primary care records
A clinical decision support tool presented at ASN Kidney Week 2026 automates chronic kidney disease identification, risk classification, and guideline-based ...
AI Reads Preoperative Endoscopic Biopsies to Gauge Lymph Node Spread in Early Gastric Cancer
A multimodal transformer-based AI framework achieved an AUC of 0.727 on preoperative endoscopic biopsy slides for predicting lymph node metastasis ...
AI Decision Aid for Juvenile Arthritis Scores Well on Safety but Diverges on Treatment Choices
A feasibility study of a large language model decision aid for juvenile idiopathic arthritis found high ratings for safety and ...
YOLOv11 Outperforms Detectors for Nipple Injury in Single-Center Study
YOLOv11 performed best in a single-center comparison using augmented clinical photographs to detect and grade nipple injuries, but the study ...
Deep learning assesses right ventricle and links findings to cardiovascular outcomes
DROID-RV estimated right-ventricular size and function from echocardiogram videos, while predictions in a primary-care cohort were associated with heart failure, ...
Artificial intelligence for symptom assessment and patient-reported outcomes in neuro-oncology
A narrative review of 53 studies finds that artificial intelligence can extract and analyze brain-tumor symptom data, but limited validation ...
Large Language Models Could Help Detect Pharmacogenomic Phenoconversion
A 2026 perspective proposes that large language models could integrate genetic and clinical records to identify possible pharmacogenomic phenoconversion, while ...
Ask, Audit, Apply: A New Rulebook for Doctors Thinking with AI
Researchers propose a three-step framework—Ask, Audit, Apply—to guide clinicians in reasoning safely and accountably with AI-powered decision support tools.
Deep Learning Meets Its Match in Genetic Disease Prediction as Uncertainty Steals the Show
A deep neural network lost the accuracy race against random forest and SVM on a genetic disease benchmark, but its ...
AI Model Estimates Individual Effects of Nursing Care in Cancer Patients With Heart Risks
A new counterfactual machine learning framework estimates how alternative acute nursing care strategies would individually affect critically ill oncology patients ...
Electronic Clinical Pathway Aims to Close the Obesity Hypoventilation Syndrome Diagnosis Gap in Hospitals
University of Colorado physicians describe an electronic health record pathway designed to catch obesity hypoventilation syndrome in hospitalized patients, where ...
The Hidden Bias in AI Healthcare May Come From Clinicians, Not Algorithms
A new perspective in the Journal of General Internal Medicine argues that clinicians' discretionary use of AI can reproduce or ...
AI That Remembers Time: New Framework Helps Language Models Track a Deadly Lung Disease
Researchers have built a temporal-aware retrieval-augmented generation framework that helps large language models generate safer, evidence-based treatment plans for idiopathic ...
AI Model Flags Septic Shock Risk in Appendicitis Patients
A multicenter machine learning study of 3,000 appendicitis patients shows that routine blood indices and ultrasound signs of barrier failure ...
Opening the Black Box: How Explainable AI Could Transform Schizophrenia Care
A sweeping systematic review maps how explainable artificial intelligence is being applied to schizophrenia diagnosis, prognosis, and monitoring, and outlines ...
AI-Reads ECGs: How Far Has the Hype Actually Traveled Into the Clinic?
A new critical review finds that AI-enabled ECG has reached clinical maturity in STEMI triage and reduced ejection fraction screening ...
Why There Is No Single AI for Transplantation: The Two Questions That Decode Every Algorithm
Transplantation researchers argue that AI in transplant medicine consists of many narrow, single-purpose tools rather than one monolithic system, and ...
Bladder Debris on Ultrasound in Children: A Clue, Not a Diagnosis, for Urinary Tract Infection
A study of more than 9,000 children finds that bladder debris on ultrasound does not improve urinary tract infection diagnosis ...
When Patients Rate Their Own Care: EHR-Embedded Symptom Scores Show Real Gains — and Real Limits
Chronic diseases now kill roughly 41 million people every year, and the daily grind of managing them — diabetes, heart ...
POPULAR NEWS
-
Rural Residence Linked to Higher Gut Microbiome Diversity in Older Portuguese Adults
-
Mechanical Roll Hardening Produces Deep Subsurface Compressive Stresses in Steel Gear Journals
-
Integrated Sensor Platform Authenticates Commercial Boju Chrysanthemum Cultivars
-
Midline Catheters Show Lower Infection Risk in ICU Patients