Artificial Intelligence Medical Compendium

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

Showing 2,061 to 2,070 of 235,116 articles

Generalizability of Deep Learning Architectures for Oral Squamous Cell Carcinoma Classification in Histopathology: A Comparative CNN-Vision Transformer Study with External Validation and Label-Quality Analysis.

Journal of imaging informatics in medicine
Oral squamous cell carcinoma (OSCC) is the most prevalent oral malignancy, with delayed diagnosis contributing to poor survival. Deep learning has shown promise for histopathological detection of OSCC, but reported performance is frequently based on ... read more 

Why the 2025 Nobel Prize in Economics Matters at the Bedside: Innovation, Institutions, and Hospitalist Leadership.

Journal of general internal medicine
The 2025 Nobel Prize in Economics, awarded to Joel Mokyr, Philippe Aghion, and Peter Howitt for their work on innovation-driven growth, offers an unexpectedly practical framework for hospital medicine. Their scholarship emphasizes that progress depen... read more 

scDGCN: A Graph-Based Deep Clustering Framework for Single-Cell Transcriptomics via Neighborhood-Enhanced Context Representation Learning.

Interdisciplinary sciences, computational life sciences
Self-supervised and context-aware representation learning offers a powerful strategy for extracting robust features from high-dimensional, sparse, and noisy single-cell data. Here, we present scDGCN, a graph-based deep clustering framework for single... read more 

Musical Peptide: Fragmentation of Musical Protein for AI-driven Bioactive Peptide Discovery Based on a New DeepPepQSAR Pipeline.

Interdisciplinary sciences, computational life sciences
Musical protein (MPro), the protein defined by music (namely biologization of music), is a reverse operation of the traditional life music that addresses the sonification of biomolecule to musical audio. We previously described a computational strate... read more 

Seizures as a marker of severe multi-organ involvement in neuropsychiatric systemic lupus erythematosus: a diagnostic risk stratification study.

Clinical rheumatology
OBJECTIVE: This study aimed to identify independent predictors of seizure occurrence in patients with neuropsychiatric systemic lupus erythematosus (NPSLE), develop a diagnostic model, and evaluate whether seizures are associated with adverse renal o... read more 

Characterization of Turbulent Kinetic Energy and Shear Layers in Sudden Expansion Flows: A Physics-Informed Machine Learning Approach.

Cardiovascular engineering and technology
PURPOSE: Traditional Computational Fluid Dynamics (CFD) methods used in the hydrodynamic design of blood-contacting medical devices create a bottleneck in optimization processes due to their heavy dependence on mesh structure and high computational c... read more 

CryoTriplane: Triplane-based Neural Radiance Field Representation for High-resolution Cryo-EM 3D Homogeneous Reconstruction.

Bioinformatics (Oxford, England)
MOTIVATION: Determining the three-dimensional (3D) structure of proteins is a cornerstone of structural biology, providing essential insights into their underlying biological mechanisms and functional roles. Cryogenic electron microscopy (cryo-EM) si... read more 

AI-augmented cardiopulmonary point-of-care ultrasound: a narrative review for pulmonary and critical care clinicians.

Breathe (Sheffield, England)
Point-of-care ultrasound (POCUS) is an increasingly utilised tool in pulmonary and critical care medicine, yet its effectiveness remains limited by operator dependency and the required cognitive demands of real-time image acquisition and interpretati... read more 

Engineering peroxygenases for pharmaceutical applications: recent advances and future perspectives.

Chemical science
Selective oxidation is a cornerstone process in pharmaceutical biosynthesis, as it enables the conversion of inert C-H bonds into valuable functional groups such as alcohols, ketones, epoxides, and carboxylic acids, which serve as important intermedi... read more 

Artificial intelligence and digital health in bronchoscopy: advances in diagnostic accuracy, real-time navigation and procedural skills training.

Breathe (Sheffield, England)
Artificial intelligence (AI) and procedure-linked digital health technologies are beginning to transform bronchoscopy across three interconnected domains. In terms of diagnostic accuracy, deep learning models applied to endobronchial ultrasound image... read more