Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 24,321 to 24,330 of 217,425 articles

Unsupervised Machine Learning Drives Dynamic Alignment Classification In Navigated Total Knee Arthroplasty.

The Journal of arthroplasty
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 

Deep-learning Saturation Transfer Magnetic Resonance Fingerprinting (ST-MRF) in Patients with Parkinson's Disease.

NeuroImage
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 

Prediction of shock-refractory ventricular fibrillation in patients with out-of-hospital cardiac arrest: external validation of an ECG-based approach.

Resuscitation
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 

Integrating AI-enhanced kinase enrichment analysis (KEA) with geometric deep learning and federated learning for precision drug repurposing.

Drug discovery today
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 

Bridging the Gap Between Artificial Intelligence and Clinical Readiness in Endometriosis Diagnosis: A Systematic Review.

Journal of minimally invasive gynecology
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 

Automated approaches to identifying clinical trials based on title and abstract in the field of physiotherapy: a comparative analysis.

Journal of clinical epidemiology
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 

Machine learning based multi-omics analysis reveals key molecular determinants of Parkinson's disease severity.

Neurobiology of disease
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 

Invisible Signals, Visible Dilemmas: The Ethical Frontiers of Liquid Biopsy in Precision Oncology.

Critical reviews in oncology/hematology
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 

CBFI: A multi-layer gene network key node identification algorithm integrating structural-biological features and dynamic regulatory weights.

Journal of biomedical informatics
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