Anabolic-androgenic steroid use is associated with reduced LVEF and increased LVMI in strength-trained athletes
Steroid use is linked to heart structure and function changes
This meta-analysis of 1906 athletes found that anabolic-androgenic steroid use is associated with significant cardiac structural and functio…
New data shows that anabolic steroids are linked to heart muscle thickening and reduced pumping power in strength-trained athletes.
AI-guided ultrasound achieves 92.86% sensitivity for DVT triage, avoids 35.32% of standard scans
AI guidance helps doctors find blood clots in leg veins
In a multicenter nonrandomized study of 594 patients, an AI guidance system for proximal lower extremity compression ultrasounds achieved di…
A new AI system helps doctors quickly identify deep vein thrombosis and may reduce the need for standard ultrasound exams.
Psychotherapy and pharmacotherapy for anxiety disorders involve distinct neural pathways and large symptom reductions
Psychotherapy and medication affect different brain regions in anxiety
This meta-analysis of 561 patients with anxiety disorders found that both psychotherapy and pharmacotherapy result in large pooled symptom r…
New research shows that talk therapy and medication may target different parts of the brain to treat anxiety symptoms.
Structured workbook improves human and AI agreement during rehabilitation clinical practice guideline appraisal
Structured Tools Improve Agreement Between Human Experts and AI Agents
This systematic review and meta-analysis of 227 rehabilitation clinical practice guidelines found that a structured workbook improved agreem…
A new structured workbook helps human experts and AI agents agree more consistently when evaluating medical rehabilitation guidelines.
Adjusting for chest X-ray sensitivity reveals underestimation of silicosis burden in mining cohorts
Mining dust poses higher risk of silicosis than previously estimated
This meta-analysis evaluates the impact of diagnostic sensitivity on estimating silicosis risk in miners exposed to respirable crystalline s…
New analysis shows that current estimates likely underestimate the true risk of silicosis for miners exposed to silica dust.
Magnetic resonance angiography shows higher sensitivity than digital subtraction angiography for spinal dural arteriovenous fistulas
Magnetic resonance imaging shows higher sensitivity for spinal artery issues
This meta-analysis of 133 patients with surgically confirmed spinal dural arteriovenous fistulas compared MRA and DSA. Findings indicate MRA…
New data compares two types of scans to find the best way to detect and locate spinal arteriovenous fistulas.
AIM-CHD system improves LDL-C target attainment to 71% in coronary heart disease patients
AI system helps heart patients hit cholesterol and blood pressure goals
This randomized clinical trial of 1100 adults with coronary heart disease found that an AI-enhanced management system (AIM-CHD) significantl…
An AI-enhanced management system helped heart patients lower LDL cholesterol and meet blood pressure goals better than usual care in a 3-mon…
AI models outperform traditional clinical assessment in predicting neoadjuvant chemotherapy response in gastric cancer
Artificial Intelligence Predicts Better Response to Gastric Cancer Treatment
This systematic review and meta-analysis of 17 studies found that AI models integrating imaging, pathology, and clinical data provide superi…
New research shows that AI models can predict how patients with gastric cancer respond to chemotherapy more accurately than traditional meth…
Machine learning models achieve a pooled AUC of 0.834 for predicting acute kidney injury occurrence
Machine learning models show promise in predicting acute kidney injury
This systematic review and meta-analysis analyzed 188 estimates from 7,343,170 patients to evaluate machine learning (ML) models for predict…
New analysis shows machine learning can accurately predict sudden kidney damage and death risks, helping doctors identify high-risk patients…
AI models demonstrate high diagnostic accuracy for identifying osteonecrosis of the femoral head in imaging data
Artificial intelligence shows high accuracy in detecting hip bone death
This meta-analysis of 12 studies involving 16,189 hip joints found that AI models have a pooled sensitivity of 0.91 and specificity of 0.95 …
New data shows that AI models can accurately identify a serious hip condition called osteonecrosis using medical imaging like X-rays and MRI…
Medical Students Demonstrate Positive Attitudes Toward Artificial Intelligence Integration in Clinical Education
Medical students show positive attitudes toward using AI in healthcare
A meta-analysis of 96 studies reveals high student interest in AI, though significant ethical concerns and varying trust levels persist.
Most medical students express a positive outlook on artificial intelligence, showing willingness to learn and integrate it into their future…
EUS-BD shows higher technical success rates than ERCP for biliary obstruction with gastrointestinal reconstruction
Endoscopic Ultrasound Drainage Offers Better Success for Patients with Complex Stomach Surgery
This meta-analysis of observational studies evaluated EUS-BD versus ERCP in patients with biliary obstruction and prior gastrointestinal rec…
Doctors are finding that endoscopic ultrasound drainage works better than traditional methods for patients who have had complex stomach surg…