AI Medical Compendium

Using Latent Dirichlet Allocation Topic Modeling to Uncover Latent Research Topics and Trends in Renal Cell Carcinoma: Bibliometric Review.

JMIR cancer Jan 16, 2026

BACKGROUND: Renal cell carcinoma (RCC) is a common, often lethal kidney cancer that originates in the renal cortex. Its incidence is rising, and major factors include smoking, obesity, and hypertension, though its etiology is uncertain. While surgery... read more

Humans Biomedical Research Bibliometrics Bayes Theorem Kidney Neoplasms Carcinoma, Renal Cell

Treatment Recommendations for Clinical Deterioration on the Wards: Development and Validation of Machine Learning Models.

JMIR AI Jan 16, 2026

BACKGROUND: Clinical deterioration in general ward patients is associated with increased morbidity and mortality. Early and appropriate treatments can improve outcomes for such patients. While machine learning (ML) tools have proven successful in the... read more

Development of Venous Thromboembolism Risk Prediction Models Based on Whole Blood Gene Expression Profiling Using 20 Machine Learning Algorithms: Comprehensive Analysis Study.

JMIR medical informatics Jan 16, 2026

BACKGROUND: There is a lack of venous thromboembolism (VTE) risk prediction models based on gene expression information. OBJECTIVE: This study aimed to construct a VTE prediction model based on whole blood gene expression profiling, by performing a c... read more

Humans Machine Learning Algorithms Female Risk Factors Male Middle Aged Risk Assessment Gene Expression Profiling ROC Curve Venous Thromboembolism

Learning the anatomical topology consistency driven by Wasserstein distance for weakly supervised 3D pancreas registration in multi-phase CT images.

Biomedical physics & engineering express Jan 16, 2026

Accurate and automatic registration of the pancreas between contrast-enhanced CT (CECT) and non-contrast CT (NCCT) images is crucial for diagnosing and treating pancreatic cancer. However, existing deep learning-based methods remain limited due to in... read more

Magnetic resonance imaging-based proton dose calculation for pelvic tumors using deep learning.

Physics in medicine and biology Jan 16, 2026

Objective Magnetic resonance imaging (MRI)-only proton therapy combines high soft tissue contrast with high-precision dose distributions. However, conventional dose calculation is impossible on MRI due to missing electron density information. Thi... read more

Institution-specific pre-treatment quality assurance control and specification limits: a tool to implement a new formalism and criteria optimization using statistical process control and heuristic methods.

Physics in medicine and biology Jan 16, 2026

OBJECTIVE: Establishing control and specification limits for Volumetric Modulated Arc Therapy (VMAT) pre-treatment quality assurance (PTQA) is essential for streamlining PTQA workflows and optimizing plan complexity. This study aimed to develop and i... read more

Unlocking the potential of nailfold videocapillaroscopy in diagnosing and staging wild-type transthyretin amyloidosis: A preliminary approach.

Medicina clinica Jan 16, 2026

BACKGROUND: Wild-type transthyretin amyloidosis (ATTRwt) is a serious condition. At early stages, symptoms resemble those of heart failure with preserved ejection fraction (HFpEF). Our aim was to perform software-supported nailfold videocapillaroscop... read more

Multisite, External Validation of an AI-Enabled ECG Algorithm for Detection of Low Ejection Fraction.

JACC. Advances Jan 16, 2026

BACKGROUND: Low left ventricular ejection fraction (LEF) can progress undiagnosed. Artificial intelligence-based electrocardiogram (ECG-AI) screening may provide a scalable means to detect LEF. OBJECTIVES: The purpose of this study was to validate a ... read more

Potential link between dioxin induced progression of diffuse large B-cell lymphoma: New insights from machine learning and in vitro experiments.

Ecotoxicology and environmental safety Jan 16, 2026

BACKGROUND: Dioxin has emerged as a major and modifiable determinant of tumor burden worldwide. Building on this premise, we investigated whether dioxin-interacting genes (DIGs) are connected to diffuse large B-cell lymphoma (DLBCL) and sought genes ... read more

Preservice English teachers' attitudes toward GenAI: A qualitative study based on UTAUT2 model.

Acta psychologica Jan 16, 2026

This qualitative study examines the psychological attitudes of preservice English teachers toward generative artificial intelligence (GenAI) through the UTAUT2 model. Thematic analysis of semi-structured interviews with 15 undergraduate teacher candi... read more

Artificial Intelligence Medical Compendium