Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 49,771 to 49,780 of 224,814 articles

Serum metabolomic signatures of relapse recovery in early multiple sclerosis.

Multiple sclerosis and related disorders Feb 17, 2026
BACKGROUND: Relapses in relapsing-remitting multiple sclerosis (RRMS) are acute neuroinflammatory events that shape long-term disease trajectory. Yet, the molecular events during the early recovery period remain poorly characterized, particularly in ... read more 

A review of the corrosion and wear resistance mechanisms of gas nitriding on steel.

iScience Feb 17, 2026
This article presents a systematic evaluation of the mechanisms, recent process advances, and practical applications of gas nitriding for improving the corrosion and wear resistance of steels. It first revisits the thermodynamic and kinetic foundatio... read more 

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 
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