Artificial Intelligence Medical Compendium

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

Showing 57,221 to 57,230 of 227,153 articles

Deep Learning-Based Model for Breast Implant Classification in Ultrasonography: A Multi-Institutional Model Development and Validation Study.

Aesthetic surgery journal Jan 29, 2026
BACKGROUND: The increasing prevalence of implant-based breast surgeries highlights a critical gap in patient knowledge regarding implant information, exacerbated by inadequate record-keeping and emerging safety concerns. OBJECTIVES: The authors of th... read more 

Engineering class I terpene synthases for skeletal diversity: strategies and applications.

Natural product reports Jan 28, 2026
Covering: up to August 2025Terpenoids constitute nature's largest and most structurally diverse class of natural products, with extensive applications in medicine, agriculture, and fragrance industries. Class I terpene synthases (TSs) create this rem... read more 

Insight into the temperature-dependent lattice thermal properties of CeO2 stabilized ZrO2 by machine learning force fields.

Physical chemistry chemical physics : PCCP Jan 28, 2026
The lattice thermal conductivity (LTC) and related properties of the ZrO2-CeO2 system are critically important for industrial applications, particularly in thermal protection. However, elucidating the complex atomic-scale processes governing these ph... read more 

Two-dimensional superconductivity: a review of computational approaches and emerging phenomena.

Nanotechnology Jan 28, 2026
Two-dimensional (2D) materials offer an exceptional platform for exploring quantum phenomena, as their reduced dimensionality significantly enhances tunability via external parameters. Among these, superconductivity in 2D systems is of particular int... read more 

Accurate classification of ependymomas and medulloblastomas using Raman spectroscopy and pilot transcriptomic profiling.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 28, 2026
Raman spectroscopy enabled accurate discrimination of posterior fossa ependymomas and medulloblastomas in both frozen and formalin-fixed, paraffin-embedded (FFPE) specimens in this retrospective study. We acquired Raman spectra (532 nm excitation) fr... read more 

Attitudes toward artificial intelligence and impostor phenomenon among nursing students: A five-country cross-sectional study.

Nurse education today Jan 28, 2026
BACKGROUND: AI tools are increasingly visible in nursing education and practice, yet student exposure and acceptance vary across settings. Limited digital literacy and technology anxiety may contribute to impostor syndrome (IS) in academic and clinic... read more 

Artificial Intelligence analysis of lesion dynamics and brain volume in patients with multiple sclerosis.

Multiple sclerosis and related disorders Jan 28, 2026
BACKGROUND: Quantitative MRI markers increasingly complement conventional clinical assessment in multiple sclerosis (MS). Artificial intelligence (AI)-based volumetry enables standardized evaluation of lesion burden and brain atrophy in routine care.... read more 

Enhancing NMR shielding predictions of atoms-in-molecules machine learning models with neighborhood-informed representations.

The Journal of chemical physics Jan 28, 2026
Accurate prediction of nuclear magnetic resonance (NMR) shielding with machine learning (ML) models remains a central challenge for data-driven spectroscopy. We present atomic variants of the Coulomb matrix (aCM) and bag-of-bonds (aBoB) descriptors a... read more 

A physics-informed long-range polarizable potential based on deep learning.

The Journal of chemical physics Jan 28, 2026
Machine-learning-based interatomic potentials are widely employed in atomistic simulations, but they struggle to capture long-range electrostatic correlations, which are ubiquitous in polar and biomolecular systems. We present a physics-informed mach... read more 

Machine-learning graph convolutional electronic propagators.

The Journal of chemical physics Jan 28, 2026
We present a graph-based machine-learning framework for simulating the time evolution of electronic wavefunctions and densities in quantum systems. Inspired by parallels between time-dependent quantum propagators and spectral graph convolutions, we e... read more 
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