AI Medical Compendium

Predictive performance of CT-based artificial intelligence for predicting variceal bleeding in portal hypertension: a systematic review and meta-analysis.

Abdominal radiology (New York) May 20, 2026

OBJECTIVES: To systematically evaluate the predictive accuracy of computed tomography (CT)-based artificial intelligence (AI) for predicting variceal bleeding (VB) in patients with portal hypertension, and to assess their potential utility as an oppo... read more

Machine learning assisted technoeconomic assessment of microalgal biofuel production pathways.

Bioprocess and biosystems engineering May 20, 2026

The incorporation of artificial intelligence (AI) and machine learning (ML) into microalgal research is transforming biomass generation, biofuel synthesis, and wastewater remediation strategies. Sophisticated ML techniques, such as artificial neural ... read more

ToxiGuard: an AOP-guided mechanistically interpretable framework for multi-organ toxicity prediction.

Archives of toxicology May 20, 2026

Accurate prediction of organ-specific toxicity with mechanistic interpretability remains a central challenge in chemical safety assessment and translational toxicology. Although animal-based assays provide biologically relevant information, they are ... read more

Cytokine-induced killer (CIK) Cells-associated transcriptome signature reveals the potential immunomodulatory role of TNFSF14 in clear cell renal cell carcinoma.

Cancer immunology, immunotherapy : CII May 20, 2026

Among adoptive immune cell therapies, cytokine-induced killer cell (CIK) therapy has demonstrated clear therapeutic relevance in multiple cancers, particularly clear cell renal cell carcinoma (ccRCC). Despite being clinically successful, the molecula... read more

PFAS is associated with perineural invasion in triple-negative breast cancer with a potential role for Cathepsin D dysregulation: a multi-omics and experimental study.

Clinical and experimental medicine May 20, 2026

Per- and polyfluoroalkyl substances (PFAS) are persistent pollutants linked to breast cancer (BC), but their role in perineural invasion (PNI) of triple-negative breast cancer (TNBC) is unclear. Cathepsin D (CTSD), a lysosomal protease, is hypothesiz... read more

Automated blood group classification using a digital microfluidics chip and vision transformer-based image analysis.

Biomedical microdevices May 20, 2026

Identifying blood groups accurately is critical for safe medical practices, especially in emergencies, surgeries, and prenatal care. Conventional methods often depend on visual inspection of agglutination reactions, which can be error-prone, particul... read more

Interpretable machine learning models for bladder cancer overall survival prediction development and external validation via SEER database and Chinese cohort analysis.

Discover oncology May 20, 2026

OBJECTIVE: We developed interpretable machine learning(ML) models to predict overall survival in bladder cancer patients. This approach aims to improve the interpretability and transparency of our modeling results. METHODS: We collected clinical and ... read more

Preoperative prediction of tumor budding grade in rectal cancer by combining APT histogram analysis and ADC MRI.

European radiology experimental May 20, 2026

OBJECTIVE: Tumor budding (TB) is a histopathological marker of aggressive behavior and poor prognosis in rectal cancer (RC), yet not reliably evaluated preoperatively. We assessed whether histogram features from amide proton transfer-weighted (APTw) ... read more

A temporally Anchored Retrieval-Augmented Generation Framework for Metabolic and Bariatric Surgery Patient Education: An IFSO Artificial Intelligence Task Force Multinational Validation Study.

Obesity surgery May 20, 2026

BACKGROUND: Large language models (LLMs) offer promising tools for patient education, yet fixed knowledge cutoffs and hallucination risk limit their clinical utility. Current retrieval-augmented generation (RAG) approaches fail to distinguish between... read more

Enhancing diabetic retinopathy diagnosis and grading: a retrospective study on AI-assisted decision making and cost analysis.

The British journal of ophthalmology May 20, 2026

BACKGROUND/AIMS: Diabetic retinopathy (DR) is a major ocular complication of diabetes mellitus. While artificial intelligence (AI)-based DR screening tools have gained widespread adoption, most research focuses on comparing AI performance with human,... read more

Artificial Intelligence Medical Compendium