AI Medical Compendium

Persistent white matter disruption underlies apparent functional normalization in intractable temporal lobe epilepsy: Evidence from multimodal MRI.

IBRO neuroscience reports Apr 17, 2026

BACKGROUND: Intractable temporal lobe epilepsy (ITLE) poses ongoing therapeutic challenges due to resistance to antiseizure medications and limited improvements in patient quality of life. Although neuroimaging studies have identified both functional... read more

Association of the Dietary Index for Gut Microbiota with site-specific Osteoporosis: Insights from machine learning applied to a national population.

Metabolism open Apr 17, 2026

BACKGROUND: The association between the Dietary Index for Gut Microbiota (DI-GM) and site-specific osteoporosis risk remains unclear. METHODS: This study analyzed data from five NHANES cycles (2005-2010, 2013-2014, 2017-2018). Multivariate logistic r... read more

Tracheostomy weaning in patients with severe acquired brain injury: External validation of machine learning models.

Computer methods and programs in biomedicine Apr 17, 2026

BACKGROUND AND OBJECTIVE: Our primary aim was to externally validate previously developed machine-learning (ML) models for predicting the probability of tracheostomy decannulation after 3 months from admission to rehabilitation inpatient in patients ... read more

Precision functional network imaging-guided transcranial magnetic stimulation: A review of clinical applications through resting-state fMRI.

Clinical neurology and neurosurgery Apr 17, 2026

Transcranial magnetic stimulation (TMS) is a non-invasive neuromodulation technique approved for treatment-resistant depression and increasingly applied to neuropsychiatric and neurologic conditions. However, conventional anatomical targeting overloo... read more

Proteomics for precision nutrition: current evidence and future directions.

Current opinion in clinical nutrition and metabolic care Apr 17, 2026

PURPOSE OF REVIEW: This review critically evaluates proteomics research applied to clinical nutrition and metabolism published between mid-2024 and early-2026, examining whether recent advances have moved the field closer to clinically actionable pre... read more

Automatic segmentation of target volume of breast radiotherapy on CT using MSR-UNet: A multicenter study.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine Apr 17, 2026

PURPOSE: We developed MSR-UNet(Mamba-based Skip Refinement U-Net) to accurately segment the clinical target volume (CTV) and tumor bed (TB) for breast radiotherapy. METHODS: MSR-UNet was developed based on a nnU-NetV2 framework with semantic-gated sk... read more

An interpretable stacking model for early warning of mastitis in dairy cows.

Preventive veterinary medicine Apr 17, 2026

Early warning of mastitis in dairy cows is important for maintaining animal health and improving dairy production. However, existing early warning systems often rely on single models, which may limit predictive performance. Therefore, this study deve... read more

SPACT: A clustering-driven multi-modal framework for survival prediction using genomic and histopathology data.

Medical image analysis Apr 17, 2026

Multi-modal data-based algorithms have gained attention in their capabilities in prediction tasks in cancer-related research. This paper introduces SPACT, a multi-modal capable of predicting cancer survival probability based on a deep-learning applic... read more

Artificial intelligence in sleep medicine I: Diagnosis, treatment, care, and research.

Sleep medicine reviews Apr 17, 2026

Artificial intelligence (AI) is transforming sleep medicine (SM) through improved diagnostics, therapeutics, and research. AI enhances diagnostic accuracy, treatment personalization, workflow efficiency. However, implementation requires careful valid... read more

Development and validation of a fully automated transformer-based 3D framework for pancreatic fat quantification in pancreatic steatosis.

European journal of radiology open Apr 17, 2026

PURPOSE: To develop and validate a fully automated TransUNet-based framework for 3D pancreatic segmentation and volumetric fat quantification on PDFF MRI. Specifically, to evaluate the model's performance against state-of-the-art CNN architectures an... read more

Artificial Intelligence Medical Compendium