AI Medical Compendium

Angioarchitectural features of hemorrhagic presentation of brain arteriovenous malformations: A multivariate and explainable machine learning study.

Neuroradiology May 27, 2026

PURPOSE: Brain arteriovenous malformations (BAVM) pose a significant rupture risk, leading to morbidity and mortality. Identifying features associated with hemorrhagic presentation is crucial for improving understanding of AVM phenotypes at diagnosis... read more

Assessing multiple chatGPT versions on novel content in the Taiwan urology board examination: accuracy, speed, and domain-specific performance.

World journal of urology May 27, 2026

PURPOSE: Large language models demonstrate increasing utility in healthcare; however, their capacity to handle newly developed medical content beyond training data boundaries remains unclear. This study evaluated the performance of four ChatGPT model... read more

Rice Annotation Project Database (RAP-DB): Literature-Curated Gene Annotation and Integrated Omics Resources for Rice Functional Genomics and Molecular Breeding.

Rice (New York, N.Y.) May 27, 2026

High-throughput sequencing technologies have enabled the generation of high-quality reference genomes for numerous rice cultivars. However, inferring gene functions, associated phenotypes, and causal variants from these sequences remains challenging.... read more

The VALUE of AI-Guided Communication: Enhancing Shared Decision-Making in Metabolic Bariatric Surgery Consultations Through a Metacognitive Framework.

Obesity surgery May 27, 2026

BACKGROUND: Effective communication in metabolic bariatric surgery (MBS) is essential for patient engagement and adherence, yet surgical residents often lack structured training. Artificial intelligence offers a novel approach to scaffold communicati... read more

Comment on "Predicting self-image satisfaction after adult spinal deformity surgery: a machine learning approach using patient phenotypes".

Spine deformity May 27, 2026

Machine learning-enhanced QSAR modeling for predicting drug efficacy against the RET V804M kinase domain mutation.

Molecular diversity May 27, 2026

The RET V804M gatekeeper mutation is a clinically significant resistance mechanism that reduces the efficacy of several kinase inhibitors. To support rapid insilico prediction of inhibitory potency against this variant, we built an interpretable QSAR... read more

Spatio-temporal ensemble machine learning forecasts of animal leptospirosis in enzootic Indian States using integrated environmental predictors.

Veterinary research communications May 27, 2026

Leptospirosis is a significant zoonotic disease in India, with Gujarat and Karnataka recognised as enzootic states experiencing recurrent animal and human outbreaks. This study applied a spatio-temporal ensemble machine learning framework to monthly ... read more

Investigation of the clinical value of artificial intelligence-derived prognostic signature in cervical cancer based on machine learning algorithms.

Discover oncology May 27, 2026

Women around the world are troubled by life-threatening cervical cancer. It is urgent to identify a biomarker to improve the prognosis of cervical cancer patients. Based on gene expression profiles and single-cell sequencing data obtained from public... read more

PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) May 27, 2026

Protein phosphorylation is a key regulator of signaling, with mass spectrometry (MS) based phosphoproteomics serving as the premier technology for its analysis. However, phosphorylation profiling is hindered by acquisition biases: Data-Dependent Acqu... read more

Beyond Procurement: Equity Considerations in Radiology Artificial Intelligence Adoption.

AJR. American journal of roentgenology May 27, 2026

Artificial Intelligence Medical Compendium