AI Medical Compendium

Hybrid imaging-clinical model for predicting microvascular invasion in hepatocellular carcinoma using deep learning-derived features from CT.

Physical and engineering sciences in medicine Jan 19, 2026

The role of adipose tissue in predicting microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC) remains unclear. This study proposes a method that integrates deep learning and machine learning techniques to investigate the role ... read more

A Guided Sampling Enhanced Rapidly-Exploring Random Tree Path Planning Algorithm for Robot-Assisted Flexible Needle Insertion.

Annals of biomedical engineering Jan 19, 2026

Percutaneous puncture techniques have been widely adopted across various domains of modern clinical interventional therapy due to their high diagnostic specificity, minimal invasiveness, and rapid postoperative recovery. However, the nonholonomic kin... read more

Diagnostic and prognostic performance of artificial intelligence and radiomics in ankylosing spondylitis: a systematic review and meta-analysis.

Journal of robotic surgery Jan 19, 2026

Time-sequential prediction of postoperative complications after gastric cancer surgery using machine learning.

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association Jan 19, 2026

Fluorescence from dual molecular rotors allows sensitive detection of widespread brain pathology in a mouse model of Alzheimer's disease.

Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology Jan 19, 2026

Amyloid fibrils formed by the misfolding and aggregation of proteins are a pathological hallmark of many neurodegenerative conditions including Alzheimer's disease (AD). Although recent studies have shown that pre-fibrillar species including low mole... read more

Forecasting CO 2 emissions in Iraq using ARIMAX and artificial neural networks: a comparative modeling approach.

Environmental science and pollution research international Jan 19, 2026

Climate change is a critical global challenge driven by rising greenhouse gas emissions, particularly carbon dioxide CO 2 . Accurate forecasting of CO 2 emissions is essential for developing effective mitigation strategies. This study focuses o... read more

Resolution of generalized tonic seizures following focal ablative or resective surgery.

Epileptic disorders : international epilepsy journal with videotape Jan 19, 2026

OBJECTIVE: Focal brain lesions may underlie generalized tonic seizures, as seen in Lennox-Gastaut syndrome, by engaging bilateral neural networks. However, this seizure type is often not considered surgically remediable. Here, we describe the resolut... read more

Density Estimation Based on Mixtures of Gaussians for Perovskite Solar Cells Modeling.

Journal of chemical information and modeling Jan 19, 2026

Accurately modeling the complex relationships among synthesis parameters, material compositions, and performance metrics is essential for accelerating the development of perovskite solar cells (PSCs). In this context, machine learning (ML) has proven... read more

Uptake of Large Language Models by London Medical Students: Exploratory Qualitative Interview Study.

JMIR formative research Jan 19, 2026

BACKGROUND: The popularity of large language models (LLMs) has grown exponentially across health care. Despite the wealth of literature on proposed applications in medical education, there remains a critical gap regarding their real-world use, benefi... read more

Humans Language Female Young Adult Adult Students, Medical Male Qualitative Research Interviews as Topic London Large Language Models

Development and validation of a deep survival model to predict time to seizure from routine electroencephalography.

Epilepsia Jan 19, 2026

OBJECTIVE: This study was undertaken to develop and validate a deep survival model (EEGSurvNet) that analyzes routine electroencephalography (EEG) to predict individual seizure risk over time, comparing its performance to traditional clinical predict... read more

Artificial Intelligence Medical Compendium