AI Medical Compendium

Rosette Cardiac MR Fingerprinting for Simultaneous T1, T2, T 2 * $$ {\mathrm{T}}_2^{\ast } $$ , and Fat Fraction Mapping Using a Multi-Echo Deep Image Prior Reconstruction.

Magnetic resonance in medicine Feb 9, 2026

PURPOSE: Quantitative mapping of cardiac tissue properties is used clinically in diagnosis and monitoring of a wide variety of cardiac pathologies. Cardiac Magnetic Resonance Fingerprinting (cMRF) enables rapid and simultaneous quantification of mult... read more

K-CC-MoCo: A Fast k-Space-Based Respiratory Motion Correction for Highly Accelerated First-Pass Perfusion Cardiovascular MR.

Magnetic resonance in medicine Feb 9, 2026

PURPOSE: First-pass perfusion cardiovascular MR (FPP-CMR) enables the non-invasive diagnosis of microcirculation and coronary artery disease. In free-breathing FPP-CMR, motion correction is usually performed in the image domain, requiring an initial ... read more

Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate.

Advanced materials (Deerfield Beach, Fla.) Feb 9, 2026

The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and density functional theory to expedite the screening of curved ca... read more

Untargeted Metabolomic and Lipidomic Profiles of Gingival Crevicular Fluid in the Context of Periodontitis.

Journal of clinical periodontology Feb 9, 2026

AIM(S): This cross-sectional clinical study aimed to explore the untargeted metabolomic and lipidomic profiles in gingival crevicular fluid (GCF) obtained from healthy individuals and patients with periodontitis. MATERIALS AND METHODS: GCF was collec... read more

Ambient Artificial Intelligence Scribe Adoption and Documentation Time in the Emergency Department.

Annals of emergency medicine Feb 9, 2026

STUDY OBJECTIVES: To describe real-world adoption of an ambient artificial intelligence (AI) scribe in the emergency department (ED) and compare documentation time and note characteristics between ambient and standard encounters using electronic heal... read more

Geospatial and machine learning analyses of cardiovascular disease mortality across the continental United States: Identifying associated variables using Shapley values.

BMC public health Feb 9, 2026

Prediction of the relationship between childhood trauma and psychological disturbances among younger adults using machine learning algorithms.

BMC psychology Feb 9, 2026

Physics-guided machine learning framework for RCA concrete by experimental database, modelling, and statistical validation.

Scientific reports Feb 9, 2026

Towards holistic phenotype prediction beyond genotypic data.

Journal of experimental botany Feb 9, 2026

Genomic Selection (GS) has revolutionised breeding programs by enabling the prediction of phenotypes based on genetic data. However, GS often only explains a portion of the phenotypic variation. This review paper explores the potential of integrating... read more

Deep learning model for identification of metabolic bone disease of prematurity using wrist radiographs.