Artificial Intelligence Medical Compendium

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

Showing 63,921 to 63,930 of 231,309 articles

Predicting the diabetic foot in patients with type 2 diabetes mellitus based on machine learning.

Biomedical engineering online
BACKGROUND: Diabetic foot (DF) is a severe complication of type 2 diabetes mellitus (T2DM), contributing to significant morbidity and healthcare costs globally. Early prediction and intervention are critical for preventing amputations and improving p... read more 

AI-assisted preoperative planning combined with robotic-assisted total knee arthroplasty vs. conventional surgery: a retrospective controlled study.

BMC musculoskeletal disorders
OBJECTIVE: To compare perioperative outcomes and early functional recovery between AI-robotic and conventional total knee arthroplasty (TKA). METHODS: We retrospectively analyzed data from 88 patients who underwent primary unilateral TKA for knee ost... read more 

Synovial transcriptome analysis reveals ShenTong ZhuYu Tang alleviates osteoarthritis by targeting MMP-9 and immune microenvironment.

Journal of orthopaedic surgery and research
BACKGROUND: This study aimed to elucidate key molecular alterations in the osteoarthritis (OA) synovial microenvironment through transcriptomic analysis and to investigate the multi-target mechanisms of ShenTong ZhuYu Tang (STZYT) using network pharm... read more 

Ai derivation and exploration of antibiotic class spaces.

Journal of cheminformatics
PURPOSE: The rapid evolution of antibiotic-resistant bacteria poses an urgent global health crisis. A key gap in current antibiotic discovery approaches is the absence of automated chemical synthesis methods designed to systematically generate and ev... read more 

Sex Differences in Alzheimer's Disease: A Systematic Review of Two Decades of Neuroimaging Research.

The British journal of radiology
OBJECTIVES: Given the heterogeneous nature of Alzheimer's Disease (AD) and its higher prevalence in females, it is crucial to understand sex-related differences in AD presentation and changes in the brain. METHODS: : This systematic review investigat... read more 

Impact of Labeling Inaccuracy and Image Noise on Tooth Segmentation in Panoramic Radiographs using Federated, Centralized and Local Learning.

Dento maxillo facial radiology
OBJECTIVES: Federated learning (FL) may mitigate privacy constraints, heterogeneous data quality, and inconsistent labeling in dental diagnostic artificial intelligence (AI). FL was compared with centralized (CL) and local learning (LL) for tooth seg... read more 

Non-destructive intelligent prediction of shelf life and quality of Tegillarca granosa using multilayer perceptron model.

Journal of the science of food and agriculture
BACKGROUND: Tegillarca granosa is prone to spoilage and deterioration during storage due to the action of microorganisms and enzymes. The traditional shelf-life prediction methods have problems such as strong destructiveness, long time consumption, c... read more