AutoML Ensemble Predicts Medical Student Performance with Near-Perfect Accuracy
Researchers at Damietta University used automated machine learning to predict medical student performance, finding that ensemble methods like Bagging and ...
Researchers at Damietta University used automated machine learning to predict medical student performance, finding that ensemble methods like Bagging and ...
A simulation-based study of 99 Indian pediatric providers finds that crisis resource management skills are suboptimal regardless of how recently ...
A Johns Hopkins study of five medical students in a museum-based course found that processfolios documenting ongoing learning fostered reflection ...
A network analysis of 318 Israeli healthcare professionals finds that SGM-specific knowledge, especially among trained clinicians, serves as the critical ...
A University of Minnesota study found that a seven-hour mass communications curriculum significantly improved medical students' comfort, interest, and self-reported ...
A study of 661 EPA micro-assessments found that general surgery faculty who submit more evaluations, write longer comments, and have ...
A mixed methods study found that health professions students working in longitudinal telehealth teams with stroke survivors showed significant gains ...
A new correspondence in Academic Psychiatry argues that the psychiatric note is not mere transcription but the specialty's defining procedure, ...
Semmelweis University has risen to 247th place in the Times Higher Education World University Rankings 2027, becoming the highest-ranked university ...
A new systematic review finds augmented reality simulation reliably improves surgical training performance and short-term skill retention, but evidence that ...
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© 2025 Scienmag - Science Magazine