Artificial Intelligence Medical Compendium

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

Showing 7,391 to 7,400 of 206,272 articles

Artificial Intelligence in Oncology: Clinical Applications, Challenges, and Opportunities.

American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting
Artificial intelligence (AI) is reshaping cancer research and clinical oncology by enabling large-scale analysis of complex biomedical data. Although early AI efforts focused on single-modality tasks such as imaging interpretation or pathology classi... read more 

Different pattern: a new EEG-based method for mental performance detection.

BMC medical informatics and decision making
BACKGROUND: This study focuses on detecting mental performance from EEG signals. It provides both classification and explanation results. For this purpose, we developed a new feature extraction method called Different Pattern (DiffPat) within an Expl... read more 

Comparison of linear and angular cephalometric measurements in CBCT using semi-automated software and artificial intelligence-generated cephalograms.

BMC oral health
BACKGROUND: This study aimed to assess the reliability of cephalometric measurements using CBCTs with two semi-automated software programs (InVivoDental and Romexis) and an artificial intelligence-based platform (Diagnocat). METHODS: This cross-secti... read more 

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