AI Medical Compendium

Spatial and spatiotemporal pattern of stroke relative risk in Ghana using Bayesian modelling approach.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jan 21, 2026

INTRODUCTION: Stroke ranks as the second-leading cause of death and third in combined death and disability globally. In Ghana, there is a significant incidence of stroke, yet systematic reviews highlight a lack of comprehensive data on stroke in Sub-... read more

Deep learning architectures for modeling and forecasting stroke cases in Ghana.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jan 21, 2026

INTRODUCTION: Stroke remains a leading cause of global morbidity and mortality, ranking second in deaths and third in disability-adjusted life years (DALYs). Its burden is particularly severe in low- and middle-income countries such as Ghana, where s... read more

A neural pattern for fear of neck movement: Development and response to targeted treatment.

The journal of pain Jan 21, 2026

Fear of movement is a main driver of disability and a key treatment target in chronic pain, though its neurobiological bases remain poorly understood. Here, we combine functional MRI with machine learning to identify and evaluate a brain pattern of f... read more

Clinical evaluation and bone loss prediction of titanium-zirconium implants: A retrospective study of 1-5-year follow-up.

Journal of dentistry Jan 21, 2026

OBJECTIVES: To evaluate the clinical and radiographic outcomes of titanium-zirconium implants, identify risk factors and develop predictive models for bone loss progression. METHODS: Patients with titanium-zirconium implants were screened for inclusi... read more

Multimodal-based crystal graph convolution neural networks for predicting soil toxicity to earthworms.

Environmental research Jan 21, 2026

Modeling approaches have been developed to quantitatively assess chemical toxicity in soil. However, an integrated modeling framework that incorporates molecular-level features, exposure conditions in soil, and the intrinsic properties of both organi... read more

A Machine Learning Approach to Deciphering the Genomic Basis of Host Specificity and Geographic Origin in Salmonella Kentucky.

Journal of food protection Jan 21, 2026

In the U.S., Salmonella Kentucky is frequently isolated from food animals, but human cases are often linked to international travel. The objectives of this study were to utilize machine learning models to predict the animal hosts (bovine or poultry) ... read more

The role of the kynurenine pathway in the pathophysiology of autism-like phenotype induced by maternal inflammation in male mice.

Neurobiology of disease Jan 21, 2026

Autism spectrum disorder (ASD) is a neurodevelopmental disorder with core symptoms that may include deficits in communication, social challenges, and repetitive/stereotyped behavior. The etiology of ASD is not well defined, but both genetic and envir... read more

Transcriptome integration analysis of shared biomarkers and common immune mechanisms in SLE and PSO.

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases Jan 21, 2026

This study aimed to identify shared diagnostic biomarkers and common immune mechanisms between systemic lupus erythematosus (SLE) and psoriasis (PSO) via integrated transcriptomic analysis, and to elucidate the role of genetic susceptibility in drivi... read more

Towards robust deep learning-based autosegmentation in MRI-planned gynecological brachytherapy: Importance of scalable development and comprehensive evaluation.

Brachytherapy Jan 21, 2026

PURPOSE: To present comprehensive development and evaluation methodologies for a generalizable deep learning (DL)-driven autocontouring model of standard pelvic organs-at-risk (OARs) in MRI-planned cervical brachytherapy. MATERIALS AND METHODS: A cur... read more

Comparison of VADER and TextBlob labeling for sentiment analysis using machine learning and deep learning models: A study on generative AI user experience.

Acta psychologica Jan 21, 2026

Acquiring awareness, understanding, and emotional engagement with generative artificial intelligence (AI) is crucial for enhancing service delivery and attracting new users. This study investigates user experiences with generative AI through comprehe... read more

Artificial Intelligence Medical Compendium