Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 227,388 articles

System-level synchronization and subtype-specific modules govern brain-wide serotonin axon innervation.

Proceedings of the National Academy of Sciences of the United States of America
The serotonin system modulates nearly all neural circuits across development and adulthood and is a major pharmacological target for mood and anxiety disorders. Forebrain-projecting serotonin neurons are organized into projection-defined subsystems t... read more 

Comparative machine learning approach on Maxwell tetra hybrid nanofluid with porous and bioconvection over 3d rotating stretching sheet.

Discover nano
This present study investigates the 3D magnetized Maxwell tetra-hybrid nanofluid with porous medium, viscous dissipation, joule heating, Soret effect and bioconvection over a rotating stretching sheet. Titanium dioxide ( T i O 2 ) , Gold ( A u ) , ... read more 

Detection and monitoring of water hyacinth in large lakes of five Indian urban agglomerates using Sentinel-2 and machine learning models.

Environmental science and pollution research international
Rapid urbanisation has intensified ecological pressures on urban lakes, promoting the spread of invasive aquatic macrophytes such as water hyacinth (Eichhornia crassipes). This study presents a multi-year, satellite-based framework for detecting and ... read more 

Distinct clinical patterns of preterm infants vulnerable to intestinal injury identified by unsupervised clustering.

Pediatric research
BACKGROUND: Current necrotizing enterocolitis (NEC) diagnostic criteria fail to capture the full spectrum of intestinal injury. We aimed to identify diagnosis-independent clinical patterns of intestinal injury among vulnerable very low birth weight (... read more 

Exploring young adult cancer survivors' perspectives on generative AI chatbots for symptom support.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
BACKGROUND: Young adult cancer survivors (ages 18-39) often experience persistent treatment-related symptoms that negatively affect daily functioning, psychosocial well-being, and quality of life, yet report unmet educational needs for symptom manage... read more 

Rapid serum-based differentiation of ovarian tumors and assessment of post-treatment disease-free status using portable Raman spectroscopy and machine learning.

Analytical and bioanalytical chemistry
Rapid, low-cost tools for ovarian tumor discrimination and post-treatment assessment remain limited because conventional serum biomarkers such as CA125 have suboptimal sensitivity and specificity. Serum contains proteins, lipids, carbohydrates, and n... read more 

Teacher-Referenced Heatmap Coverage for Auditing Attribution Shifts in Updated CT Classifiers.

Journal of imaging informatics in medicine
Model updates may change the attribution patterns of computed tomography (CT) classifiers without producing corresponding changes in predictive performance. This study evaluated whether peak-aware heatmap measures could provide a more informative sig... read more 

An integrated geochemical and explainable machine learning framework for mercury dynamics and risk assessment in the Musa Estuary.

Environmental research
Mercury (Hg) contamination in estuarine environments is of increasing concern because of its persistence, transformation into methylmercury (MeHg), and potential ecological and human health impacts. This study investigated the distribution, environme... read more 

NanoTS: a deep learning tool for accurate SNP calling in nanopore long-read transcriptome data.

Nature methods
Accurate variant detection using nanopore long-read transcriptome data remains challenging. Here we present NanoTS-a deep learning-based tool for single nucleotide polymorphism detection from diverse types of nanopore transcriptome sequencing data. N... read more 

Understanding Key Stakeholders' Perspectives Towards Artificial Intelligence in Home Care Work.

Journal of general internal medicine
BACKGROUND: Older adults are increasingly relying on home health aides and attendants (HHAs) to support their care needs and enable them to age in place. In response to workforce shortages and rising care demands, AI systems are often touted as poten... read more