Artificial Intelligence Medical Compendium

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

Showing 34,551 to 34,560 of 221,633 articles

Automatic lateral ventricle and choroid plexus segmentation method in infant brain MR images.

BMC medical imaging
INTRODUCTION: Accurate segmentation of the lateral ventricles (LV) and choroid plexus (CP) in infant brain MRI is essential for understanding cerebrospinal fluid dynamics and early neurodevelopment. However, segmentation methods recently introduced f... read more 

Artificial intelligence-assisted UV-Vis spectrophotometric method for simultaneous quantification of naringin and naringenin in Thymus canoviridis Jalas.

BMC chemistry
BACKGROUND: This study aimed to develop an artificial intelligence (AI)-based UV-Vis spectrophotometric method for simultaneously quantifying naringin and naringenin in Thymus canoviridis methanol extract. Conventional spectrophotometric techniques o... read more 

Accelerating tuberculosis diagnosis in Mozambican prisons using digital chest X-rays with computer-aided detection: a longitudinal, comprehensive health intervention.

BMC global and public health
BACKGROUND: Mozambique has a high burden of tuberculosis (TB) and in 2021, an estimated 18,000 persons with TB nationwide were not diagnosed. Estimates suggest that globally 47% of TB disease in prisons is undiagnosed. We implemented an integrated-ca... read more 

Artificial intelligence in orthopedics: current applications, challenges, and future directions.

Knee surgery & related research
BACKGROUND: Artificial intelligence research in orthopedics has grown rapidly, yet a substantial gap remains between technical development and clinical translation. This narrative review summarizes current applications of artificial intelligence in o... read more 

AI-assisted interpretation of Markush structures in pharmaceutical patents: a review of emerging tools, datasets, and challenges.

Journal of cheminformatics
Automated interpretation of Markush structures widely used in pharmaceutical patents to claim large families of related compounds remains challenging due to non-machine-readable structure images, variable R-groups, dependency rules, scaffold diversit... read more