多模态机器学习预测重性抑郁障碍复发：现有证据与未来方向
Posted inClinical Updates Psychiatry Superintelligence

Multimodal Machine Learning-Based Prediction of Relapse in Major Depressive Disorder: Current Evidence and Future Directions

This review synthesizes recent evidence on machine learning models integrating multimodal data for relapse prediction in MDD, highlighting moderate accuracy driven mainly by clinical risk factors and advocating for dynamic approaches to better capture longitudinal relapse trajectories.
提升间质性肺疾病诊断：支气管内光学相干断层成像在多学科评估中的作用
Posted inClinical Updates Pathology & Lab Medicine Respiratory

Enhancing Interstitial Lung Disease Diagnosis: The Role of Endobronchial Optical Coherence Tomography in Multidisciplinary Evaluation

This study highlights the diagnostic value of endobronchial optical coherence tomography (EB-OCT) as a complementary, low-risk imaging modality that improves confidence and diagnostic accuracy in interstitial lung disease multidisciplinary discussions alongside TBLC and genomic classifiers.
Evaluating Meningioma Risk in Users of Estro-Progestin and Progestin-only Therapies: Insights from EudraVigilance Pharmacovigilance Data
Posted inClinical Updates Neurology OB/GYN & Women's Health

Evaluating Meningioma Risk in Users of Estro-Progestin and Progestin-only Therapies: Insights from EudraVigilance Pharmacovigilance Data

A pharmacovigilance study using EudraVigilance data highlights potential safety signals linking desogestrel-only and drospirenone-only hormonal therapies with meningioma, underscoring the need for further longitudinal research and cautious evaluation of long-term hormonal treatment risks.