Artificial Intelligence Medical Compendium

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

Showing 63,381 to 63,390 of 230,801 articles

AI and AR based digital reconstruction of Liangshan Yi lacquerware.

Scientific reports
The lacquering technique of Yi lacquerware, a national intangible cultural heritage object (ICHO) of China, is distinguished by its unique forms, patterns, and colors, embodying profound religious beliefs and aesthetic connotations. Currently, this t... read more 

Radiologist burnout: AI's true black box.

European radiology
Multiple articles have touted the longitudinal promise of artificial intelligence (AI) in radiology, including projections of streamlining repetitive tasks, improving workflow, and reducing physician burnout. The purpose of this article is to review ... read more 

Attitudes of psychiatric nurses towards the integration of artificial intelligence applications to clinical care: a qualitative study in China.

BMC nursing
BACKGROUND: The application of artificial intelligence in mental health faces unique challenges. Psychiatric nurses provide direct care to patients with mental illness, and their attitudes toward artificial intelligence will directly impact the effec... read more 

Multi-Task Feedforward Neural Networks for Thermodynamic Property Prediction under Small Sample Sizes.

The journal of physical chemistry. A
Reliable explosion modeling requires accurate thermodynamic properties of hazardous chemicals, yet the scarcity of experimental data highlights the urgent need for predictive approaches to bridge this critical gap. In recent years, machine learning-a... read more 

NLP-ROPCare: predicting retinopathy of prematurity with admission notes using natural language processing.

BMJ open ophthalmology
OBJECTIVES: Retinopathy of prematurity (ROP) is a leading cause of blindness in children worldwide, requiring more efficient models to help predict treatment-requiring ROP. Our study aimed to develop a new prediction model for ROP occurrence and seve... read more 

Deep learning algorithm for semiquantification of spinal inflammation in axial spondyloarthritis.

RMD open
OBJECTIVE: To develop a deep learning algorithm for semiquantification of spinal inflammation in patients with axial spondyloarthritis (SpA). METHODS: The study included 330 participants with axial SpA. All patients underwent whole spine MRI with sho... read more 

Predicting the progression of difficult-to-treat rheumatoid arthritis by a machine learning scoring system, from the FIRST registry.

RMD open
OBJECTIVES: This study aimed to develop and validate a prediction model for the future progression of difficult-to-treat rheumatoid arthritis (D2T RA) and support the precise use of biologic and targeted synthetic disease-modifying antirheumatic drug... read more 

Grape expectations: disentangling environmental drivers of microbiome establishment in winegrowing ecosystems.

NPJ biofilms and microbiomes
Microbial communities play a central role in viticulture, influencing wine characteristics (a concept termed microbial terroir). Yet, the individual factors shaping these microbiomes remain poorly understood. We conducted a multi-year, large-scale su... read more