Artificial Intelligence Medical Compendium

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

Showing 24,651 to 24,660 of 217,425 articles

A novel serum metabolite classifier for identifying Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) integrating metabolomics and machine learning.

BMC gastroenterology Apr 29, 2026
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) presents a growing global health burden, while reliable non-invasive biomarkers for identifying affected individuals remain limited. This study aimed to characterize serum m... read more 

ChAracterizing, Revlving, Supporting, Monitoring and MAnaging sustainable food systems to address malnutrition in Indigenous tribal communities (CARISMMA): exploring food systems and its drivers to develop multisectoral data-driven solutions. A study protocol.

BMC public health Apr 29, 2026
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Generative Artificial Intelligence-driven orthodontic education practices.

BMC medical education Apr 29, 2026
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Early emergency department decision support for heart failure hospitalization using triage-level unstructured and structured data: a retrospective cohort study.

BMC medical informatics and decision making Apr 29, 2026
BACKGROUND: Early identification of patients at risk for heart failure (HF) hospitalization in the emergency department (ED) is challenging because definitive diagnostic tests are often unavailable at triage. Chief complaint narratives contain rich s... read more 

Research on the generalization of a blood donor recruitment framework based on machine learning.

BMC medical informatics and decision making Apr 29, 2026
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Radiomics for predicting microsatellite instability-high status in colorectal cancer: a systematic review and meta-analysis.

World journal of surgical oncology Apr 29, 2026
OBJECTIVE: Microsatellite instability (MSI) has emerged as a key predictive biomarker for chemotherapy and immunotherapy response, and as a prognostic indicator in colorectal cancer (CRC). The current clinical standard for MSI detection relies on pol... read more 

Comparing the ability of embedding methods on metabolic hypergraphs for capturing taxonomy-based features.

Algorithms for molecular biology : AMB Apr 29, 2026
BACKGROUND: Metabolic networks are complex systems that describe the biochemical reactions within an organism through pairwise interactions between chemical compounds. While this representation is widely used to study biological function, it fails to... read more 

Predicting adolescent depression: an interpretable machine learning model.

BMC medical informatics and decision making Apr 29, 2026
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A phantom study on the evaluation of the YOLOv8 deep learning model in the detection of tooth ankylosis on cone-beam computed tomography images.

Head & face medicine Apr 29, 2026
This study aimed to assess the performance of a deep learning algorithm for detecting tooth ankylosis on cone-beam computed tomography (CBCT) scans. A dataset of CBCT scans taken from phantoms simulating tooth ankylosis, including 60 teeth and a tota... read more 

Artificial intelligence-assisted risk prediction of postoperative pulmonary complications in non-small cell lung cancer surgery.

Journal of cardiothoracic surgery Apr 29, 2026
BACKGROUND: Pulmonary complications are the most frequent adverse events following surgery for non-small cell lung cancer (NSCLC), influencing both short-term clinical outcomes and long-term prognosis. This study aimed to develop and evaluate artific... read more 
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