Artificial Intelligence Medical Compendium

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

Showing 44,771 to 44,780 of 224,055 articles

3D region-growing nnU-Net improves pulmonary embolism detection on CTPA: a dual-cohort validation study.

European radiology experimental
OBJECTIVES: We compared three customized nnU-Net models (A: baseline two-dimensional (2D); B: 2D + region-growing; C: three-dimensional (3D) + region-growing) for automated detection and blood clot volume (BCV) quantification of acute pulmonary embol... read more 

A Gradient-Based Machine-Learning Inspired Inverse Modeling Approach for Characterization of Nonlinear Tissue Properties.

Annals of biomedical engineering
PURPOSE: Characterization of anisotropic nonlinear material properties along with fiber directions for soft tissues based on known deformations (strains) and external loads is a significant clinical goal. METHODS: A gradient-based inverse solver is d... read more 

Predicting the Value of Radiology Artificial Intelligence Applications: Large-Scale Predeployment Evaluation of a Portfolio of Models.

AJR. American journal of roentgenology
Background: Real-world performance of radiology artificial intelligence (AI) applications frequently diverges from previously reported results, creating challenges in anticipating a model's clinical value and impact. Objective: To develop a structure... read more 

Single-Feature Identification of α2-8 Linked Sialoglycans Using Engineered Aerolysin Nanopores: A Paradigm for Glycan Linkage Analysis.

Journal of the American Chemical Society
Nanopore single-molecule sensing has emerged as a transformative platform in glycoscience and nanotechnology because of its inherent potential to decode complex "glycocodes" with high sensitivity, single-molecule resolution, and real-time throughput.... read more 

Systemic Proteome Profiling to Differentiate Primary Glomerular Diseases.

Journal of the American Society of Nephrology : JASN
BACKGROUND: Primary glomerulonephritis (GN) is a heterogeneous group of kidney disorders where understanding their pathophysiology remains incomplete. Despite the diagnostic potential of high-throughput proteomics, constrained proteomic depth and a r... read more 

High-Throughput Screening of Bulk Boride Superconductors with Honeycomb-Ruby Frameworks.

Inorganic chemistry
Metal borides are promising phonon-mediated superconductors, yet discovering new high superconducting transition temperature (Tc) bulk phases beyond MgB2-type motifs remains challenging. Here we propose a bulk layered boride prototype built from a ho... read more