Artificial Intelligence Medical Compendium

Traditional Ames tests for chemical mutagenicity are slow, costly, and often yield inconsistent results between in vitro and in vivo assays, hindering high-throughput safety screening. To address these limitations, we propose AMPred-LWN, a multimodal... read more 

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PURPOSE: This study aimed to develop deep learning (DL) models for CT-free attenuation correction and Monte Carlo-based scatter correction in 99mTc-macroagregated albumin (99mTc-MAA) SPECT imaging, with the goal of enhancing quantitative accuracy for... read more 

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