Machine learning and postoperative indicators improve AUC for predicting anastomotic leak in gastric cancer surgery
Machine Learning Models May Better Predict Gastric Cancer Complications
This systematic review and meta-analysis of 18 studies involving 15,783 patients evaluated risk prediction models for anastomotic leak. The …
New analysis shows machine learning models may offer better accuracy in predicting surgical complications for patients with gastric cancer.
Structured physical activity improves FEV1% predicted by 5.79 and PAQLQ scores in patients with asthma
Structured Physical Activity Shows Benefits for People with Asthma
This meta-analysis of trials involving structured physical activity for at least 6 weeks found significant improvements in FEV1% predicted (…
Structured physical activity programs of at least 6 weeks may improve lung function and quality of life for people living with asthma.
EmiratesMEDs competency framework establishes 9 thematic roles and 14 EPAs for UAE medical education
New UAE framework sets 85 competencies for medical graduates
This guideline outlines the EmiratesMEDs competency framework designed to harmonize undergraduate medical education in the United Arab Emira…
A national competency framework for UAE medical graduates defines 85 skills and 14 clinical tasks to standardize education.
Dapirolizumab pegol increases BICLA response rate by 14.6% over placebo in moderate-to-severe SLE
Trial shows dapirolizumab pegol improves symptoms for lupus patients
This Phase 3 randomized controlled trial of 321 patients with moderate-to-severe, active SLE found that dapirolizumab pegol added to standar…
A new clinical trial found that dapirolizumab pegol significantly improved disease activity for adults with moderate to severe systemic lupu…
Sepsis Mortality Prediction Models Show Moderate Performance
Prediction models show moderate success in forecasting sepsis deaths
A meta-analysis of 84 studies finds that externally validated models for sepsis mortality achieve a pooled AUC of 0.794, but most studies ha…
New data from millions of records helps identify which factors most accurately predict if a patient with sepsis will survive.
Large language models provide automated feedback to improve diagnostic accuracy and report quality in radiology training
AI feedback helps radiology trainees learn faster, review finds
This systematic review of 7 studies examines the use of large language models (LLMs) for providing automated feedback in medical imaging edu…
A review of 7 studies finds AI feedback improves radiology trainees' report quality and accuracy, but experts still needed.
IoT-assisted pulmonary rehabilitation protocol for moderate-to-severe stable COPD patients in single institution
New plan tests smart technology for managing chronic lung disease
This prospective, non-randomized controlled intervention study protocol outlines an IoT-assisted pulmonary rehabilitation program for 588 pa…
A new trial plans to see if smart devices and apps can help people with chronic lung disease manage their symptoms at home.
Video observed therapy improves treatment success and adherence in adults with tuberculosis
Digital Tools Show Better Success Rates for Tuberculosis Treatment
This network meta-analysis of 29 randomized controlled trials evaluated digital health interventions for tuberculosis. Video observed therap…
Video observed therapy shows higher success and adherence rates for patients with tuberculosis compared to traditional face-to-face methods.
Prediction models show moderate discrimination for ARDS occurrence and mortality in sepsis patients
Machine Learning Models Show Mixed Results for Predicting Sepsis Lung Injury
This systematic review and meta-analysis evaluated prediction models for ARDS occurrence and short-term mortality in patients with sepsis-as…
New analysis shows that while machine learning can predict lung injury in sepsis patients, these models do not consistently outperform stand…
Nursing process-oriented bundled interventions and digital monitoring may improve surgical site infection prevention
Nursing Pathways and Digital Tools Help Prevent Surgical Site Infections
This narrative review examines nursing-led strategies, including bundled interventions and digital tools like AI triage and remote wound mon…
A continuous nursing pathway using digital tools and risk-stratified care may help prevent infections after surgery.
Research in coronary heart disease shows misalignment between investment and clinical guideline priorities
China's heart disease research focuses on bioequivalence, not innovation
This guideline-based research trend analysis of 3,339 publications identifies a significant gap between current research investments and cli…
A review of 3,339 publications shows China's coronary heart disease research heavily emphasizes bioequivalence studies over innovative drug …
Diverse exercise modalities mitigate systemic and local inflammation in older adults with sarcopenia
Different Exercise Types May Reduce Inflammation in Muscle Loss
This narrative review examines how aerobic, resistance, and high-intensity interval training impact inflammatory markers in older adults wit…
Specific types of exercise, from aerobic to high-intensity training, may help manage inflammation linked to muscle loss in older adults.