AI Medical Compendium

Response to letter-Machine learning prediction of rapid HBsAg seroclearance at week 24 in inactive carriers treated with pegylated interferon.

Hepatology international Feb 4, 2026

A new model based on multi-axis vision transformer for chondromalacia patella diagnosis in magnetic resonance scans.

Physical and engineering sciences in medicine Feb 4, 2026

A degenerative disease of the patellofemoral joint cartilage, chondromalacia patella (CMP) often results in anterior knee discomfort and functional disability. Determining the best course of therapy and stopping the progression of the disease depend ... read more

Interpretable machine learning-driven identification of novel DENV NS2B-NS3 protease inhibitors through multi-stage virtual screening and experimental validation.

Molecular diversity Feb 4, 2026

Dengue fever is a mosquito-borne viral infection caused by dengue virus (DENV). It has emerged as a worldwide health problem, afflicting millions of people each year throughout the tropical and subtropical regions. To date, there is no FDA-approved d... read more

Enhancing diagnostic quality in dental bitewings using transformer and GAN-Based image restoration.

Oral radiology Feb 4, 2026

BACKGROUND AND PURPOSE: Bitewing radiographs have high diagnostic value in detecting interproximal caries and assessing alveolar bone levels. However, image compression and sensor limitations may compromise image quality and diagnostic value. This st... read more

Prognostic Significance of Lymph Node Ratio for Overall Survival in Patients with Lymph Node-Positive Bladder Cancer Post-Radical Cystectomy and Chemotherapy: A Multicenter Cohort Analysis.

Annals of surgical oncology Feb 4, 2026

BACKGROUND: The lymph node ratio (LNR) is gaining recognition as a prognostic biomarker for various malignant neoplasms. However, its prognostic role in postoperative chemotherapy for high-risk muscle-invasive bladder cancer (MIBC) remains unclear. M... read more

3DFE-Net: Three-dimensional fusion enhancement network based on multi-attention mechanism for multi-modal magnetic resonance images.

Medical & biological engineering & computing Feb 4, 2026

Nowadays, the research of image fusion methods focuses on two-dimensional medical images, and almost no three-dimensional medical image fusion methods based on deep learning have been proposed. However, 3D image fusion is significant in clinical diag... read more

Explainable AI reveals temporal risk pathways in fall prediction: Extracting clinical insights from multi-horizon machine learning models.

GeroScience Feb 4, 2026

Falls are a leading cause of injury in older adults, making risk prediction a clinical priority. While many machine learning (ML) models exist, they typically provide a static assessment, predicting risk for a single, fixed timeframe. This approach o... read more

Dentists' awareness of data security and ethical issues during the transition to artificial intelligence-driven clinical practice.

Acta odontologica Scandinavica Feb 4, 2026

OBJECTIVE: This study aimed to evaluate the awareness levels of actively practicing dentists in Türkiye regarding artificial intelligence (AI)-related ethical issues, data security, anonymization, and legal regulations. MATERIALS AND METHODS: A cross... read more

Clinical Practice Guideline Implementation: Challenges and Solutions for Improved Cardiovascular Care.

European heart journal. Quality of care & clinical outcomes Feb 4, 2026

The European Society of Cardiology (ESC) develops and updates clinical practice guidelines (CPGs) based on the latest evidence. However, their implementation remains suboptimal, leading to missed opportunities to improve cardiovascular (CV) outcomes.... read more

Artificial Intelligence-Electrocardiography to Predict Incident Atrial Fibrillation and Clinical Outcomes in Kidney Transplant Recipients.

Kidney360 Feb 4, 2026

BACKGROUND: Incident atrial fibrillation (AF) is common following kidney transplantation (KTx) and is associated with worse clinical outcomes. Artificial intelligence electrocardiography (AI-ECG) algorithms have demonstrated efficacy in predicting ri... read more

Artificial Intelligence Medical Compendium