AI Medical Compendium

Diagnostic performance of an artificial intelligence algorithm for detecting pneumoperitoneum on abdominal CT scans.

Insights into imaging Jul 18, 2026

OBJECTIVES: This study aims to evaluate the diagnostic performance of an artificial intelligence (AI) algorithm for detection, segmentation, and volumetric quantification of pneumoperitoneum on abdominal CT scans. MATERIALS AND METHODS: We developed ... read more

Analytical construction of lump, rogue, and multi-wave structures in a nonlinear neuron membrane model via bilinear neural network approach.

Theory in biosciences = Theorie in den Biowissenschaften Jul 18, 2026

In this article, we study a nonlinear neuron membrane model describing the propagation of action potentials along nerve fibers, incorporating nonlinear elastic effects and higher-order dispersion. By applying the Hirota bilinear transformation, the g... read more

Integrating omics and artificial intelligence in pediatric environmental health: tools, challenges, and cohort-based insights.

Pediatric research Jul 18, 2026

BACKGROUND: Early childhood is a critical developmental period during which exposure to multiple environmental chemicals is common and increasingly recognized as an important determinant of long-term health. However, conventional risk-assessment meth... read more

Deciphering the phonon scattering mechanism and lattice thermal conductivity of La2Zr2O7 pyrochlores through point defect engineering: insights from molecular dynamics simulations with machine learning potentials.

Physical chemistry chemical physics : PCCP Jul 18, 2026

The moment tensor potentials (MTPs) are trained, tested and validated for various single- and mixed-type point defects in La2Zr2O7 pyrochlores using the training datasets produced from first-principles molecular dynamics simulations. The reliability ... read more

Bioinspired organic materials for seamless neurohybrid interfaces: from material design to living electronics.

Materials horizons Jul 18, 2026

The brain architecture is multi-layered, with billions of neurons organized into intricate neural networks that communicate via synapses. Since synapse dysfunction is a main hallmark of neurological disorders, understanding the mechanisms underlying ... read more

FKBP10 may affect the malignant phenotype of oral squamous cell carcinoma cells through the ECM/WNT signaling pathway.

Scientific reports Jul 18, 2026

Oral squamous cell carcinoma (OSCC) is a common malignant tumor in the oral and maxillofacial region with a poor prognosis, and its pathophysiology has not been fully elucidated. Although FKBP10 is overexpressed in multiple malignancies, its function... read more

DB-IRES: a deep learning model based on ensemble learning for predicting internal ribosome entry sites.

BMC bioinformatics Jul 18, 2026

BACKGROUND: Internal ribosome entry sites (IRES) are cap-independent translation initiation elements present in specific viral and cellular mRNAs. They facilitate direct ribosome recruitment for protein synthesis, bypassing the need for the canonical... read more

Exploratory development of prediction models for pharmacotherapy outcomes in trigeminal neuralgia: a combined analysis based on multi-source data.

The journal of headache and pain Jul 18, 2026

BACKGROUND: Drug-refractory trigeminal neuralgia (DRTN) represents a formidable challenge in clinical management, with approximately 30%-50% of patients eventually progressing to DRTN. Early identification of high-risk DRTN populations and prediction... read more

Predicting local control of brain metastases after Gamma Knife radiosurgery: a multimodal deep learning-radiomics approach.

BMC medical imaging Jul 18, 2026

BACKGROUND: Accurate prediction of local control (LC) following Gamma Knife radiosurgery (GKRS) remains clinically challenging for patients with brain metastases (BMs) secondary to breast or lung cancer. The scarcity of validated pre-therapeutic biom... read more

Stage-specific predictors of exercise adherence after percutaneous coronary intervention: a prospective multicenter study.

BMC cardiovascular disorders Jul 18, 2026

BACKGROUND: The efficacy of exercise after Percutaneous Coronary Intervention (PCI) is compromised by poor long-term adherence. Although multiple influencing factors are recognized, their dynamic evolution and relative importance across different sta... read more

Artificial Intelligence Medical Compendium