Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 41,411 to 41,420 of 223,853 articles

Claustrum and Hippocampus Segmentation-Based Alzheimer's Disease Identification Model Using RoT-Kmeans and CoLU-CNN.

Molecular neurobiology Mar 16, 2026
Alzheimer's disease (AD) is a dementia disease that causes loss of cognitive functions. Also, it is a noncurable disease. However, early diagnosis and proper medication reduce AD's progression time. Yet, the prevailing AD diagnosis models did not con... read more 

Uncertainty-aware automated labeling of intracranial arteries using deep learning.

BMC medical imaging Mar 16, 2026
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Construction of classification model and analysis of risk factors in patients with multi-vessel coronary artery disease.

BMC medical informatics and decision making Mar 16, 2026
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Deep learning-based non-invasive prediction of axillary lymph node metastasis in breast cancer: performance of the YOLO-v11 object detection algorithm.

BMC medical imaging Mar 16, 2026
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A new diagnostic prediction model for infective endocarditis based on the 2023 duke-international society for cardiovascular infectious disease criteria: a multicenter observational study.

BMC cardiovascular disorders Mar 16, 2026
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Macular hole detection and segmentation on fundus photography using large multimodal generative models for synthetic augmentation.

BMC ophthalmology Mar 16, 2026
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Explainable tabular deep learning models for antenatal cesarean delivery prediction in multiparous women.

BMC pregnancy and childbirth Mar 16, 2026
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Accuracy of the large language model ChatGPT in adult emergency department triage: a systematic review and meta-analysis.

BMC emergency medicine Mar 16, 2026
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Combining computed tomography radiomics and clinical features to predict lymph node metastasis in patients with lung cancer.

BMC medical imaging Mar 16, 2026
BACKGROUND: Accurate preoperative assessment of lymph node metastasis (LNM) is crucial for treatment planning and prognostic stratification in patients with lung cancer. This study aimed to develop and validate a predictive model for LNM using radiom... read more 

Integrating phenotypic information of obstructive sleep apnea and deep representation of sleep-event sequences for cardiovascular risk prediction.

BMC medical informatics and decision making Mar 16, 2026
BACKGROUND: Advances in wearable and machine learning technologies have opened new possibilities for predicting cardiovascular (CV) risk. Moreover, the association between obstructive sleep apnea (OSA) and CV risk has been well recognized. However, h... read more 
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