AI Medical Compendium

Systemic immunometabolic profiling classifies cisplatin sensitivity states using interpretable machine learning.

iScience Feb 17, 2026

Cisplatin resistance limits the effectiveness of platinum-based chemotherapy for lung adenocarcinoma, yet practical systemic diagnostics for cisplatin sensitivity are lacking. We developed ImmunoMetabolic Profiling Analysis and Classification Tool (I... read more

Development and multicenter validation of a predictive model for malignant pleural effusion recurrence.

iScience Feb 17, 2026

Early prediction of malignant pleural effusion (MPE) recurrence within 3 months is essential for optimizing management in lung cancer patients. This study developed and validated a machine learning model to estimate the 3-month recurrence risk of MPE... read more

Multi-encoder U-Net benchmarking for LiTS17 Liver-Tumor segmentation: accuracy-efficiency trade-offs across training durations.

Biomedizinische Technik. Biomedical engineering Feb 17, 2026

OBJECTIVES: Accurate liver and tumor segmentation from CT is fundamental for diagnosis, treatment planning, and longitudinal monitoring of liver cancer. Although U-Net variants with popular encoder backbones are widely used, the coupled effects of en... read more

The impact of generative AI on social media: an experimental study.

Scientific reports Feb 17, 2026

Generative Artificial Intelligence (AI) tools are increasingly deployed across social media platforms, yet their implications for user behavior and experience remain understudied, particularly regarding two critical dimensions: (1) how AI tools affec... read more

Bringing cross-validation into the real world to evaluate transferability of satellite-based vegetation models.

Scientific reports Feb 17, 2026

Near-real-time mapping of vegetation using satellite imagery is becoming increasingly common and valuable across a wide range of ecosystems. The availability of large datasets has led many researchers to complex machine learning algorithms (MLAs) to ... read more

Machine learning models classifiers enable a strong prediction of radioembolization-induced liver disease, and define a new bilirubin threshold for selection of patients.

European journal of nuclear medicine and molecular imaging Feb 17, 2026

PURPOSE: Selective Internal Radiotherapy (SIRT) is an established treatment option for hepatocellular carcinoma (HCC). However, a major complication is radioembolization-induced liver disease (REILD). METHODS: This retrospective study, analyzed patie... read more

Investigating feature-engineered predictors for systolic blood pressure changes in an mHealth-based disease management program.

Hypertension research : official journal of the Japanese Society of Hypertension Feb 17, 2026

Mobile health (mHealth)-based disease management programs enable continuous monitoring of blood pressure (BP) and related health behaviors. Feature engineering may help to extract informative predictors from longitudinal data, potentially improving B... read more

Integration of in vitro and in silico approaches enables prediction of drug-induced liver injury.

Archives of toxicology Feb 17, 2026

Drug-induced liver injury (DILI) is a major cause of drug attrition and poses a significant threat to patient safety. However, current preclinical prediction methods, including heuristic screening rules, in vitro assays, machine learning models and a... read more

Building trust in the integration of artificial intelligence into chemical risk assessment: findings from the 2024 ECETOC workshop.

Archives of toxicology Feb 17, 2026

Artificial Intelligence (AI) is increasingly influencing chemical risk assessment, enabling faster, more comprehensive, and potentially more ethical assessments. The application of AI in chemical risk assessment refers to both generative and predicti... read more

The feasibility and accuracy of real-time intra-operative confocal tissue diagnosis in brain and spine cancer surgery.

Neurosurgical review Feb 17, 2026

Real-time intra-operative brain tumour tissue analysis can reduce turnaround times and enable repeated sampling, enhancing diagnostic accuracy and guiding resection. We investigated the use of an ultra-fast confocal microscopy scanner (Histolog®, Sam... read more

Artificial Intelligence Medical Compendium