Artificial Intelligence Medical Compendium

OBJECTIVE: This study presents an independent clinical evaluation of Dr.Noon CVD, a commercially developed artificial intelligence (AI)-based retinal imaging model that estimates cardiovascular disease (CVD) risk. We assessed whether the model can ef... read more 

BACKGROUND: Anemia is one of the most common hematological disorders causing fatigue, increased vulnerability to infection, low birth weight, and threatening the physical and mental development of children. Hence, the early identification reduces the... read more 

Twisted Convolutional Networks (TCNs) are proposed as a novel deep learning architecture for classifying one-dimensional data with arbitrary feature order and minimal spatial relationships. Unlike conventional Convolutional Neural Networks (CNNs) tha... read more 

Pedestrian attribute recognition (PAR) aims to achieve robust prediction of multiple binary attributes in pedestrian images. Traditional PAR methods employ joint learning of a backbone network to extract shared features and a linear classifier to pre... read more 

PURPOSE: To evaluate the image quality of three reconstruction methods-filtered back projection (FBP), adaptive statistical iterative reconstruction (AR50), and deep learning-based reconstruction (DL-M)-processed with the Smart Metal Artifact Reducti... read more 

Behavioral decision-making for mobile robots in unknown environments is a key research topic in the field of robotics applications. To address issues such as low computational efficiency in high-dimensional spaces and diminished long-term learning ca... read more 

BACKGROUND: Limited medical professionals, particularly in rural community, impedes patient treatment. Rapid prenatal risk assessments are critical for improving pregnancy care under these resource constraints. OBJECTIVE: To develop and evaluate an i... read more 

BACKGROUND: The goals of this study were to develop an artificial intelligence (AI)-driven automated preoperative planning system for anterior cruciate ligament (ACL) reconstruction by integrating deep learning with computed tomography (CT)-magnetic ... read more 

To systematically analyze the current status and future trends of artificial intelligence (AI) in gastrointestinal surgery from July 2015 to July 2025 through bibliometrics. Based on the Web of Science Core Collection database, this study retrieved r... read more 

Calcium (Ca2+) signaling is integral to nearly all aspects of plant biology, including development and responses to biotic and abiotic stresses. It operates through two main layers: the generation of Ca2+ signals and their decoding by Ca2+-binding pr... read more