Artificial Intelligence Medical Compendium

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

Showing 1,001 to 1,010 of 213,401 articles

Evaluation of Generative Artificial Intelligence Models in Producing Anatomically Accurate Illustrations: A Comparative Study of Text-to-Image Generators.

Clinical anatomy (New York, N.Y.)
Generative artificial intelligence (GAI) is increasingly being applied in biomedical sciences and medical education, including anatomy, where text-to-image generators may facilitate rapid creation of visual materials. However, the anatomical accuracy... read more 

CT-Based Radiomic Features Predict Cervical Lymph Node Metastasis in Dogs With Oral Malignancy: A Machine Learning Study Using Leave-One-Patient-Out Cross-Validation.

Veterinary and comparative oncology
Accurate preoperative identification of cervical lymph node (LN) metastasis is essential for staging and treatment planning in dogs with oral malignancy, yet conventional imaging offers limited diagnostic sensitivity. This retrospective study evaluat... read more 

Statistical Competence and Editorial Policies in Biomedical Publications.

Journal of Korean medical science
Misuse of statistical methods in biomedical research remains widespread, undermining scientific integrity and public health. Flawed analyses can lead to misleading clinical guidelines, unnecessary treatments, or concealment of true treatment effects.... read more 

The FACT-Score: Development and Temporal Validation of a Clinical Risk Stratification Tool for 30-Day Complications After Operative Facial Fracture Repair.

The Journal of craniofacial surgery
BACKGROUND: No validated, procedure-specific tool exists for predicting 30-day complications after operative facial fracture repair. This study aimed to develop and temporally validate a clinical risk stratification tool for 30-day complications afte... read more 

Early Prediction of Critical Care Interventions From Pediatric Emergency Department Triage.

Hospital pediatrics
BACKGROUND AND OBJECTIVES: Most pediatric emergency departments (EDs) in the United States use Emergency Severity Index (ESI) system to triage patients. Because the 5-level classification provides limited risk stratification, this study aims to impro... read more 

Bioinformatics reveals the prognostic potential of manganese metabolism-related genes in lung adenocarcinoma.

Functional & integrative genomics
Manganese metabolism may be involved in the malignant progression of lung adenocarcinoma (LUAD). Clarifying the roles of manganese metabolism-related genes (MMRGs) in LUAD may provide potential therapeutic targets for LUAD treatment. Mendelian random... read more 

Predicting women's intention to use contraceptives in East Africa: a machine learning analysis of predictors.

BMC women's health
INTRODUCTION: Intention to use contraceptives reflects an individual's or couple's plan to adopt contraceptive methods, supporting women's reproductive autonomy. It is associated with reduced unintended pregnancies, unsafe abortions, and high fertili... read more 

Combining transvaginal ultrasound radiomics with clinical-ultrasound semantic features for the identification of high-risk endometrial lesions.

BMC women's health
OBJECTIVE: Preoperative risk stratification of high-risk endometrial lesions remains a clinical challenge. This study aimed to preliminarily explore an integrated machine learning approach combining transvaginal ultrasound (TVUS) radiomics, clinical ... read more 

Exosomes in cancer drug resistance: dual roles in therapy failure and emerging precision therapeutics.

Cancer cell international
Exosomes play a key role in cancer, functioning both as drivers of drug resistance and as tools for therapy. Tumor-derived exosomes facilitate intercellular communication through selective transfer of bioactive cargo, including proteins (e.g., P-gp, ... read more