Artificial Intelligence Medical Compendium

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

Showing 51,631 to 51,640 of 225,182 articles

Association between leukocyte telomere length and neurodegenerative diseases: a prospective cohort in the UK Biobank.

Journal of neurology
BACKGROUND: This study aims to investigate the association between leukocyte telomere length (LTL) and the risk of incident NDDs using a large-scale cohort from the UK Biobank. METHODS: Data from 459,902 subjects were analyzed using Cox proportional ... read more 

Establishment of insulin resistance-related ten-gene signature in endometrial cancer and identification of ACTL8 as a prognostic and immunological biomarker.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
BACKGROUND: Endometrial cancer (EC) is a common gynecological tumor. Insulin resistance (IR) increases the risk of EC. However, the common molecular basis between the two remains unclear. This study aims to screen the common differential expression g... read more 

Clinical decision accuracy in endodontic treatment of patients with systemic diseases: a comparative analysis using different artificial intelligence models.

Odontology
This study aims to compare the clinical decision-making accuracy of different artificial intelligence (AI) models in endodontic treatment planning for patients with systemic diseases. A scenario-based, cross-sectional educational study was conducted ... read more 

Artificial intelligence on opportunistic computed tomography for predicting vertebral fracture risk in women undergoing estrogen deprivation therapy for breast cancer.

La Radiologia medica
PURPOSE: Fracture risk prediction in women exposed to hormone deprivation therapies (HDTs) for breast cancer is challenging, since bone mineral density may not be reliable in this context. This study aims to identify radiomic features (RFs) on opport... read more 

Radiomics-based nomogram using digital radiography for early diagnosis of knee osteoarthritis.

La Radiologia medica
OBJECTIVES: Early diagnosis of knee osteoarthritis (KOA) remains challenging, particularly in distinguishing between Kellgren-Lawrence (KL) grades 1 and 2 on standard radiographs. This study aimed to develop a radiomics-based model using digital radi... read more 

Dynamic ultrasound motion metrics combined with deep learning for clinical differentiation of subacromial impingement syndrome.

La Radiologia medica
PURPOSE: This prospective study evaluated the diagnostic performance of deep learning models in predicting subacromial impingement syndrome (SIS) during dynamic shoulder ultrasonography, comparing a faster region-based convolutional neural network (F... read more