Artificial Intelligence Medical Compendium

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

Showing 28,381 to 28,390 of 219,260 articles

Are Lemons Fast for People With Autism? Semantic and Perceptual Crossmodal Correspondences in Autism Beyond the Kiki-Bouba Effect.

Autism : the international journal of research and practice
Attenuated sound-shape matching in the classic Kiki-Bouba effect in autism has already been replicated in several studies, but it remains unclear whether this attenuation is confined to low-level multisensory integration or whether it reflects a broa... read more 

A novel autoantibody panel as potential diagnostic markers for hepatocellular carcinoma.

Biomarkers in medicine
AIMS: Hepatocellular carcinoma (HCC) represents a major global health burden. Tumor-associated autoantibodies (TAAs) represent promising biomarkers for cancer detection. This study aims to evaluate the diagnostic value of autoantibody panels in HCC. ... read more 

Workers/crews' mental workload dynamics in closed cabins: A task-difficulty-adaptive random forest model for instrument monitoring tasks using multimodal biosignals.

Work (Reading, Mass.)
BackgroundAccurate assessment of operator mental workload (MWL) is critical for ensuring safety in closed-cabin environments, yet traditional contact-based sensors are intrusive.ObjectiveThis study aimed to develop and validate a fully non-contact, m... read more 

Advances in fungal ergothioneine: from biosynthesis to AI-driven industrial biomanufacturing.

Natural product research
Ergothioneine (EGT), a potent natural antioxidant from edible fungi, is highly valued for its antioxidant, anti-inflammatory, and cytoprotective effects. Despite its significant commercial potential in food, cosmetics, and medicine, industrial-scale ... read more 

Mucinous vs. non-mucinous pancreatic cysts: diagnostic keys on CT and MRI.

Abdominal radiology (New York)
The prevalence of incidentally detected pancreatic cystic lesions has increased substantially with the widespread use of high-resolution CT and MRI. Differentiating mucinous from non-mucinous cystic lesions is a central diagnostic task, as mucinous l... read more 

Evaluating data heterogeneity's impact on convolutional neural network performance in medical imaging.

International journal of computer assisted radiology and surgery
PURPOSE: Machine learning in medical imaging (MIML) is critical to computer-aided diagnostics. However, data heterogeneity-variation in medical data across sources and conditions-remains underexplored, despite its impact on model generalizability. Th... read more 

Enhancing large language model clinical support information with machine learning risk and explainability: a feasibility study.

Intensive care medicine experimental
BACKGROUND: Current machine learning (ML) prediction models offer limited guidance for individualized actionable management. Large language models (LLMs) can transform ML model-predicted risk estimates with Shapley Additive Explanations (SHAP) into c... read more 

Technology in Diabetes: A Year in Review.

Diabetes therapy : research, treatment and education of diabetes and related disorders
The past year has continued the rapid evolution of diabetes technology across the monitoring, delivery, analytics, and patient-support domains. Improvements in continuous glucose monitoring (CGM) accuracy and wear-time options, widening use and regul... read more 

Whole-brain connectome analysis for elucidating specific structural neural networks in idiopathic normal-pressure hydrocephalus.

Magma (New York, N.Y.)
OBJECTIVE: To test the hypothesis that idiopathic normal-pressure hydrocephalus (iNPH) is also associated with reproducible whole-brain structural connectivity reductions detectable by diffusion MRI connectomics, beyond the established clinical triad... read more