AI Medical Compendium

G.AI.A: An Integrated Machine-Learning Platform for Predicting Bioaccumulation and Ecotoxicity of Pharmaceuticals.

Journal of chemical information and modeling Jan 16, 2026

Pharmaceutical pollution in aquatic environments poses a significant ecological threat due to the accumulation of bioactive compounds from human and veterinary sources. In support of the EU Green Deal's Chemicals Strategy for Sustainability, this stu... read more

How to Evaluate the Accuracy of Symptom Checkers and Diagnostic Decision Support Systems: Symptom Checker Accuracy Reporting Framework (SCARF).

JMIR human factors Jan 16, 2026

Symptom checkers are apps and websites that assist medical laypeople in diagnosing their symptoms and determining which course of action to take. When evaluating these tools, previous studies primarily used an approach introduced a decade ago that la... read more

Humans Decision Support Systems, Clinical Mobile Applications Symptom Assessment

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

Barriers and facilitators to implementing the living guideline development framework in oncology: a mixed methods study.

BMJ open Jan 16, 2026

OBJECTIVE: To explore stakeholder experiences with implementing the living guideline (LG) development framework in oncology, and to identify barriers, facilitators and solutions to support its uptake and sustainability. DESIGN: An exploratory sequent... read more

Humans Female Cross-Sectional Studies Male Neoplasms Qualitative Research Surveys and Questionnaires Interviews as Topic Medical Oncology Practice Guidelines as Topic Stakeholder Participation

A scalable computational framework for predicting gene expression from candidate cis-regulatory elements.

Genome research Jan 16, 2026

Deciphering the relationships between cis-regulatory elements (CREs) and target gene expression has been a long-standing unsolved problem in molecular biology, and the dynamics of CREs in different cell types make this problem more challenging. To ad... read more

Artificial Intelligence Medical Compendium