AI Medical Compendium

Screening of signaling pathways and hub genes in Guillain-Barré syndrome based on bioinformatics and machine learning.

BMC neurology Mar 13, 2026

Are 2D MRI slices equally important in microvascular invasion prediction: a study based on multiple instance learning with attention.

BMC medical imaging Mar 13, 2026

Integrating traditional statistics and explainable machine learning for risk stratification of atrial fibrillation recurrence after pulsed field ablation: a hypothesis-generating single-center study.

BMC cardiovascular disorders Mar 13, 2026

BACKGROUND: Predicting recurrence after pulsed field ablation (PFA) for paroxysmal atrial fibrillation (AF) remains challenging, particularly in early-stage patients with minimal structural remodeling. Traditional risk scores from the radiofrequency ... read more

Automatic identification of different stage of Alzheimer's disease using multimodal MRI and artificial intelligence.

BMC medical imaging Mar 13, 2026

An explainable radiomics model based on multiparametric magnetic resonance for differentiating benign and malignant orbital tumors.

BMC cancer Mar 13, 2026

OBJECTIVE: To develop and internally test a multiparametric radiomics combined model for differentiating benign and malignant orbital tumors. PATIENTS AND METHODS: This retrospective study analyzed 147 patients from two centers (December 2014 to Marc... read more

Predicting cognitive frailty in older adults: an explainable machine learning model integrating radiomics and clinical features.

BMC medical informatics and decision making Mar 13, 2026

Visit-level prediction of missed HIV appointments using machine learning and transformer-based models in Uganda.

BMC medical informatics and decision making Mar 13, 2026

Artificial intelligence-based approaches for monitoring medication adherence among cardiovascular disease patients: a scoping review.

BMC medical informatics and decision making Mar 13, 2026

Machine learning in ARDS: an intensivist's guide to artificial intelligence applications.

Critical care (London, England) Mar 13, 2026

Artificial Intelligence Applications in Body MRI: Opportunities and Limitations.

Journal of magnetic resonance imaging : JMRI Mar 13, 2026

Artificial Intelligence Medical Compendium

Screening of signaling pathways and hub genes in Guillain-Barré syndrome based on bioinformatics and machine learning.

Are 2D MRI slices equally important in microvascular invasion prediction: a study based on multiple instance learning with attention.

Integrating traditional statistics and explainable machine learning for risk stratification of atrial fibrillation recurrence after pulsed field ablation: a hypothesis-generating single-center study.

Automatic identification of different stage of Alzheimer's disease using multimodal MRI and artificial intelligence.

An explainable radiomics model based on multiparametric magnetic resonance for differentiating benign and malignant orbital tumors.

Predicting cognitive frailty in older adults: an explainable machine learning model integrating radiomics and clinical features.

Visit-level prediction of missed HIV appointments using machine learning and transformer-based models in Uganda.

Artificial intelligence-based approaches for monitoring medication adherence among cardiovascular disease patients: a scoping review.

Machine learning in ARDS: an intensivist's guide to artificial intelligence applications.

Artificial Intelligence Applications in Body MRI: Opportunities and Limitations.

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