Artificial Intelligence Medical Compendium

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

Showing 3,321 to 3,330 of 202,937 articles

Heritability of the Olfactory Bulb and Its Associated Brain Network.

NeuroImage
The olfactory bulb (OB), the first central relay of the olfactory pathway, plays a critical role in odor perception and exhibits remarkable structural plasticity shaped by environmental influences. This raises a fundamental question about the extent ... read more 

Translating lineage-resolved single-cell programs to bulk clinical prognosis: Adversarial generative learning reveals lineage-informed immune - stromal - epithelial risk signatures.

Computational biology and chemistry
BACKGROUND: Breast cancer transcriptional programs span malignant epithelial cells, and the tumor microenvironment (TME), yet tumor-normal contrasts are often confounded by lineage identity and cell-type composition, limiting clinically actionable si... read more 

Flexible electrospun microcone-array SERS swab for rapid on-site detection of saffron adulteration.

Talanta
Surface-enhanced Raman scattering (SERS) has attracted increasing attention in food authenticity testing due to its high sensitivity toward dyes and trace molecular contaminants. However, its practical application to filament-type herbal materials su... read more 

The relationship between AI self-efficacy and critical thinking among nursing students: A network analysis.

Nurse education in practice
AIM: This study used network analysis to characterize the internal structure of artificial intelligence self-efficacy (AISE) among nursing students and to examine how specific AISE components related to critical thinking (CT). BACKGROUND: As artifici... read more 

A novel peak-searching method for multiple radioisotopes based on deep learning.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
Gamma-ray spectroscopy is the cornerstone of nuclear security, arms control verification, and emergency response. However, traditional radionuclide identification methods struggle with the massive data streams and complex multi-nuclide environments c... read more 

Network Methods for Diagonal Integration of Unpaired Single-Cell Multi-Omics Data: A Review.

Bioinformatics (Oxford, England)
MOTIVATION: Advances in single-cell sequencing have enabled multi-omics profiling at unprecedented resolution; however, mass spectrometry-based single-cell proteomics (scMS) remains inherently destructive, precluding simultaneous transcriptomic captu... read more 

Benchmarking Deep Learning Methods for Cα Atom Prediction in Cryo-EM Density Maps.

Bioinformatics (Oxford, England)
MOTIVATION: With the advancement of cryo-electron microscopy (cryo-EM) into the atomic resolution era, accurate Cα atom modeling has become essential for macromolecular structure determination. However, existing evaluation systems overly rely on full... read more 

Predicting problem gambling among online sports and race bettors: Assessing the value of machine learning using behavioural and self-reported data.

Journal of behavioral addictions
BACKGROUND AND AIMS: Online gambling operators collect detailed behavioural data that can identify customers at risk of harmful gambling. However, there is limited clarity on how to optimally achieve this in practice, including which variables are mo... read more 

Large Language Model Hallucinations in Spine Surgery: A Comparative Analysis of Clinician vs Patient-Level Prompts.

Neurosurgery practice
BACKGROUND AND OBJECTIVES: Large Language Models (LLMs) are increasingly used by healthcare professionals and patients for medical information synthesis. Unfortunately, their tendency to generate fabricated information ("hallucinations") poses a sign... read more