AI Medical Compendium

Construction of an XGBoost-SHAP-based malignant transformation risk prediction model for gallbladder polyps.

Annals of medicine Apr 24, 2026

BACKGROUND: To develop and validate a risk prediction model for malignant transformation in patients with gallbladder polyps (GBPs) using an interpretable machine learning framework and evaluate its predictive accuracy. METHODS: A retrospective cohor... read more

Artificial intelligence enhances cancer cell selection for HER2 gene amplification assessment in breast carcinoma.

Virchows Archiv : an international journal of pathology Apr 24, 2026

The evaluation of HER2 gene amplification is a time-consuming process that requires quantifying a large number of signals in cancer cells to ensure reproducible results, a task that can be assisted by image analysis (IA) tools. This study aimed to de... read more

Evaluation of computational tools for the prediction of CRISPR/SpCas9 gRNA activity in plants.

Plant cell reports Apr 24, 2026

CRISPR/Cas9 technologies are now routinely used in plant research, with guide RNA (gRNA) design being a critical determinant of genome editing success. However, rational design of highly active gRNAs is challenging due to complex sequence and biochem... read more

Polypharmacy, Medicine Optimisation, and Medication Adherence in Older Cancer Patients.

Current oncology reports Apr 24, 2026

Geospatial data and analytical tools for shoreline change monitoring: a global trend analysis.

Environmental monitoring and assessment Apr 24, 2026

Coastal erosion, driven by climate change, sea-level rise, and human activities, poses critical risks to coastal ecosystems and communities worldwide. Understanding how the scientific community has investigated shoreline change is essential for advan... read more

Graph Neural Networks in Neuroimaging: Current Status and Biostatistical Considerations for Clinical Deployment.

Annals of biomedical engineering Apr 24, 2026

Graph Neural Networks (GNNs) have emerged as a novel paradigm that enables scientists to model complex relational data in medical applications, offering unique advantages over traditional deep learning (DL) approaches for non-Euclidean domains. This ... read more

Present and Future Post-marketing Drug Safety Assessment in Japan: A PMDA Perspective.

Therapeutic innovation & regulatory science Apr 24, 2026

For pharmacovigilance, the Pharmaceuticals and Medical Devices Agency in Japan has utilized real world data (RWD) from multiple sources, including individual case safety reports, and medical information databases that capture routinely collected data... read more

White Matter Structural Biomarkers Derived from Diffusion Tensor Imaging to Estimate Upper-Extremity Motor Function in Stroke Using Machine Learning.

Brain topography Apr 24, 2026

Real-time planar angiographic cerebral perfusion imaging.

International journal of computer assisted radiology and surgery Apr 24, 2026

PURPOSE: Digital Subtraction Angiography (DSA) is an X-ray-based imaging modality intimately related to minimally invasive procedures in interventional radiology, cardiology, vascular and neurologic surgery. Emulating tomographic methods like 3D vess... read more

Deep learning-based renal artery segmentation and angle estimation for registration of endoscopic images and 3D models in robot-assisted partial nephrectomy.