AI Medical Compendium

Artificial intelligence construction: a review of the bridge between CT imaging features of lung ground-glass nodules adenocarcinoma and carcinogenic driver genes.

Journal of cancer research and clinical oncology Apr 22, 2026

Lung ground-glass nodules (GGNs) represent a critical early imaging manifestation of lung adenocarcinoma, and exploring the relationship between their CT imaging features and oncogenic driver genes holds significant promise for precision diagnosis an... read more

Quantum-inspired cardiac risk assessment using hybrid CSAGGO-Q-SpinalNet algorithm for precise heart disease prediction.

Journal of X-ray science and technology Apr 22, 2026

Cardiovascular disease remains the leading cause of mortality globally, with escalating risk factors and increasing pressure on the healthcare system. Despite the critical importance of early diagnosis, it is impeded by challenges, such as data imbal... read more

Bayesian-regularized neural network analysis of heat and mass transmission in CMC and water hybrid nanofluid with local thermal non equilibrium conditions.

Discover nano Apr 22, 2026

The influences of Marangoni convection and local thermal non-equilibrium effects on CuO-TiO₂/CMC (Carboxymethyl Cellulose)-Water based hybrid nanofluid flow via a sheet with thermophoretic particle deposition have been assessed in this work using an ... read more

Comparative evaluation of large language models for generating CAD-RADS 2.0-compliant diagnostic conclusions in cardiac CT reports.

Insights into imaging Apr 22, 2026

OBJECTIVES: Coronary computed tomography angiography (CCTA) has become a cornerstone in non-invasive CAD diagnosis and risk stratification. To standardize reporting and improve clinical decision-making, the CAD-RADS 2.0 system was introduced. This st... read more

[Digital twins in uro-oncology].

Urologie (Heidelberg, Germany) Apr 22, 2026

BACKGROUND: Uro-oncology is moving toward precision medicine, driven by high-dimensional longitudinal data from imaging, pathology, molecular profiling, and follow-up. However, clinical decision-making often relies on static risk scores that cannot f... read more

Computational identification of diagnostic biomarkers linking Dibutyl phthalate exposure to ovarian cancer through network toxicology and machine learning.

Discover oncology Apr 22, 2026

From prediction to practice: closing the translation gap in artificial intelligence for anesthesia.

Journal of clinical monitoring and computing Apr 22, 2026

A deep dive into ferritin nanoparticle advancements: experimental and computational perspectives.

Discover nano Apr 22, 2026

Ferritin, a natural iron-storage protein, has emerged as a versatile platform in nanotechnology and biomedicine due to its biocompatible 12 nm nanocage, intrinsic targeting via the transferrin receptor 1, and adaptability for diverse applications. Th... read more

Deep-learning computer-aided detection and classification of prostate lesions on biparametric MRI: comparison with expert readers.

Insights into imaging Apr 22, 2026

OBJECTIVE: To assess the performance of a deep learning-based computer-aided detection (DL-CAD) algorithm for prostate lesion detection and classification on biparametric (bp)MRI. MATERIALS AND METHODS: This retrospective, single-center study include... read more

Fragment-Aware Contrastive Learning Framework for Molecular Property Prediction.

Journal of chemical information and modeling Apr 22, 2026

Artificial intelligence (AI)-driven molecular property prediction holds significant potential to accelerate drug discovery, yet the development of robust models is hindered by scarce, high-quality data and the diversity of prediction tasks. Although ... read more

Artificial Intelligence Medical Compendium