Artificial Intelligence Medical Compendium

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

Showing 1,561 to 1,570 of 200,346 articles

Predicting short birth intervals in Bangladesh using stacked machine learning and SHAP explainability: evidence from BDHS 2022.

Reproductive health
BACKGROUND: Short birth interval (SBI) is a major public health concern, associated with adverse outcomes such as preterm birth, low birth weight, and maternal depletion. Identifying its influential predictors is essential for improving family planni... read more 

Aspiration to architecture: multi-omics, AI, digital twins, and blockchain for P4 medicine.

Journal of translational medicine
Two decades after its formalization, P4 medicine (predictive, preventive, personalized, participatory) remains more framework than practice. Most implementations stall at single-omics prediction and fail to close the loop across all four dimensions. ... read more 

Towards the design of artificial sensing materials via quantum-informed explainable AI.

Journal of cheminformatics
Computational design of sensing materials remains fundamentally challenging due to the vast configurational landscape and the absence of robust property correlations that enable efficient molecular representation. These challenges become particularly... read more 

Intersection of gender and class in the assessment of self-rated health in the Spanish population: a classification tree study.

International journal for equity in health
AIM: This study assesses the influence of various specific health conditions as activity limitations and groups of chronic diseases, in estimating poor self-rated health for the Spanish population aged 30-60, stratified by the intersections of gender... read more 

Optimizing preoperative planning for total hip arthroplasty using random forest models to predict stem size and compatibility.

BMC musculoskeletal disorders
BACKGROUND: Preoperative planning is essential for optimal outcomes post-total hip arthroplasty (THA). Appropriate stem size and compatibility with femoral dimensions are essential in THA to prevent distal fixation. Previous studies have proposed dee... read more 

Investigating the associations between AI-Based educational tool utilization, academic procrastination, academic achievement, and time management among nursing students.

BMC nursing
BACKGROUND: The role of artificial intelligence (AI) tools in education has transformed the way students learn and manage their academic tasks. However, health professions education has not sufficiently studied the role of AI tools in procrastination... read more 

A two-stage sperm holomorphological analysis method based on multi-output network construction.

BMC bioinformatics
BACKGROUND: Sperm morphology detection technology has important research value in diagnosing male infertility. Traditional manual detection methods are time-consuming, labor-intensive, and highly subjective. The sperm morphology analysis method based... read more 

Decoding the role of H19 in cholestatic liver injury using snRNA-seq, spatial transcriptomics, and machine learning-based disease prediction.

Cell & bioscience
BACKGROUND: Despite recent advances, Primary Sclerosing Cholangitis (PSC)-a chronic obstructive biliary disease-still lacks effective therapies to prevent disease progression or the need for liver transplantation. Moreover, up to 30% of transplant re... read more 

EEG biomarkers can predict early-stage Alzheimer's disease and correlate with intracerebral pathology: a multimodal machine learning study.

Alzheimer's research & therapy
BACKGROUND: Early recognition of Alzheimer's disease (AD) is crucial for timely intervention and delaying disease progression. Electroencephalogram (EEG) technology provides a direct reflection of the brain's dynamic activity. However, the relationsh... read more