AI Medical Compendium

Development and Multicenter External Validation of a Real-Time Artificial Intelligence Diagnostic System for Diabetic Peripheral Neuropathy Based on Wearable Devices.

Gerontology Apr 8, 2026

Diabetic peripheral neuropathy (DPN) ranks among the most common complications of diabetes worldwide, often leading to severe morbidity if undetected early. Traditional screening methods are time-intensive, require specialized personnel, and can be i... read more

MVGF-DR: Multi-view Graph Feature Fusion Approach for Drug Repositioning.

IEEE journal of biomedical and health informatics Apr 8, 2026

Drug repositioning, exploring new indications for existing drugs, is emerging as a promising approach to accelerate drug discovery and reduce research risk of failure. Recent advances in this topic by applying graph neural networks have enabled resea... read more

FetalSleepNet: A Transfer Learning Framework with Spectral Equalisation Domain Adaptation for Fetal Sleep State Classification.

IEEE journal of biomedical and health informatics Apr 8, 2026

OBJECTIVE: Fetal sleep state classification is essential for identifying neurodevelopmental complications like hypoxia, but manual annotation is subjective and labor intensive, and fetal EEG (fEEG) data is extremely scarce. METHODS: We propose FetalS... read more

Integration of advanced ultrasound techniques, radiomics, and artificial intelligence for improved diagnosis of cystic breast lesions.

Clinical imaging Apr 8, 2026

Cystic breast lesions are commonly encountered on breast ultrasound, encompassing a spectrum from simple benign cysts to complex mixed solid and cystic lesions with malignant potential. Accurate sonographic characterization using ACR BI-RADS v2025 cr... read more

Fine-grained and multi-pattern anti-nuclear antibody recognition: A new dataset and framework.

Medical image analysis Apr 8, 2026

Indirect immunofluorescence (IIF) staining imaging on human epithelial cell (HEp-2) is a standard technique for anti-nuclear antibodies (ANA) screening. The application of deep neural networks for automated IIF image processing has led to remarkable ... read more

A machine learning framework for predicting peptide inhibitors of insect voltage-gated sodium channels.

Journal of molecular graphics & modelling Apr 8, 2026

Peptides represent environmentally safer and target-specific alternatives to conventional insecticides, offering advantages such as biodegradability and reduced off-target effects. However, their practical application remains limited by the complexit... read more

Governing the rise of AI in healthcare: A comparative governance document and implementation implications across five jurisdictions.

Social science & medicine (1982) Apr 8, 2026

BACKGROUND: As AI increasingly reshapes healthcare delivery and innovation, global health systems face urgent imperatives to govern its development, deployment. OBJECTIVE: Drawing on 43 regulatory and strategic documents in five jurisdictions, the st... read more

Intelligent discrimination of organic and conventional rice via electrochemiluminescence-enhanced Vis-NIR spectral analysis.

Food chemistry Apr 8, 2026

Rapid authentication of organic rice is crucial for food quality and consumer protection. Here, we propose a novel approach integrating electrochemiluminescence (ECL) with visible and near-infrared (Vis-NIR) spectroscopy to discriminate between organ... read more

Artificial intelligence in clinical oncology: Multimodal integration and translational development.

Cancer letters Apr 8, 2026

Artificial intelligence (AI) is rapidly reshaping clinical oncology, as cancer care increasingly relies on integrating heterogeneous data streams spanning radiology, digital pathology, genomics, and longitudinal electronic health records. However, th... read more

Identification and independent validation of white matter subtypes in major depressive disorder and their role in predicting treatment response.

Journal of affective disorders Apr 8, 2026

Major depressive disorder (MDD) is a complex psychiatric disorder characterized by diverse clinical profiles and variable treatment responses. Parsing the neuroanatomical heterogeneity among patients with MDD holds great promise for improving the pre... read more

Artificial Intelligence Medical Compendium