Artificial Intelligence Medical Compendium

OBJECTIVES: To assess healthcare costs of patients screened for cervical spine (C-spine) fractures using CT, and estimate the change in in-hospital costs if an artificial intelligence (AI) algorithm for C-spine fracture detection would assist the rad... read more 

BackgroundRotator cuff tears, a common cause of shoulder pain, often require surgery when conservative treatment fails. Arthroscopic repair is standard, though re-tear rates remain high.ObjectiveThis study aimed to identify the shoulder function ques... read more 

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INTRODUCTION: Several statistical models have been developed to predict the stability of distal radius fractures after closed reduction, but their findings have not been consistently reproduced. We aimed to develop a machine learning (ML) model to pr... read more 

➢ Substantial disparities exist between Latin America and high-income countries in research capacity, and artificial intelligence (AI) has emerged as a powerful tool to accelerate scientific development and reduce this gap.➢ Orthopaedic research in L... read more 

BACKGROUND: Artificial intelligence (AI) in orthopaedics is shifting from passive interfaces in which a surgeon queries a large language model to an era of active participation in which a surgeon empowers a software platform to automate certain tasks... read more 

Predicting the physicochemical properties of molecules is a cornerstone of computational chemistry and drug discovery. While quantum mechanical methods provide high accuracy, their computational expense limits their use in high-throughput screening. ... read more 

BackgroundArtificial Intelligence (AI) is an emerging approach in addressing sexual health including HIV and other sexually transmitted infections (STIs). The aim of this study was to explore facilitators and barriers of AI with a focus on underserve... read more 

OBJECTIVE: To train a deep learning-based markerless gait analysis model from random initialization, tailored for canine gait analysis, in clinical settings and to validate against 2-D marker-based systems. METHODS: This prospective observational stu... read more 

Microvascular networks (MVNs) formed via endothelial cell self-assembly in 3D hydrogels have emerged as a widely used platform for modeling vascularized tissues and studying vascular pathophysiology. Conventional MVN systems incorporate supporting fi... read more