BACKGROUND: Current classifications used for total knee arthroplasty (TKA) are static and fail to capture the dynamic behavior of the limb during gait. This study introduces a novel intraoperative method to measure dynamic hip-knee angle (dHKA) using... read more
Parkinson's disease (PD) is marked by progressive neurodegeneration in the substantia nigra (SN). This study evaluated deep-learning saturation-transfer magnetic resonance fingerprinting (ST-MRF) to quantify molecular and microstructural changes in P... read more
BACKGROUND: Shock-refractory ventricular fibrillation (VF) patients can be defined as those requiring at least three defibrillation attempts. Patients with refractory VF may benefit from personalized resuscitation treatments. We sought to externally ... read more
Artificial intelligence (AI) is reshaping drug repurposing by integrating systems biology with molecular design. Here, we present a unified framework combining AI-enhanced Kinase Enrichment Analysis (KEA), geometric deep learning, and federated learn... read more
Journal of minimally invasive gynecology
Apr 30, 2026
OBJECTIVE: To systematically evaluate the methodological quality and diagnostic performance of artificial intelligence (AI) applications, specifically machine learning (ML) and deep learning (DL), in the diagnosis of endometriosis through imaging and... read more
OBJECTIVE: To compare accuracy, precision, recall, F1 and time spent using commercial tools to identify physiotherapy trials based on title and abstract, compared with a human approach. STUDY DESIGN: This study compared two approaches for title and a... read more
While single-omics analyses of Parkinson's Disease (PD) have demonstrated their ability in revealing the underlying molecular mechanisms, they often fail to provide a comprehensive view of the complete disease mechanisms. In this study, we leveraged ... read more
Critical reviews in oncology/hematology
Apr 30, 2026
This critical review synthesizes the ethical, technical, and equity dilemmas emerging from the rapid clinical translation of liquid biopsy technologies in precision oncology. We analyze challenges across key domains, including diagnostic uncertainty ... read more
OBJECTIVE: Identifying key nodes within multi-layer GRNs is crucial for uncovering potential biomarkers and therapeutic targets. Key nodes exhibit bothlocal structural advantages (e.g., bridging weak connections, disease associations) andglobal influ... read more
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