Artificial Intelligence Medical Compendium

We read with great interest the report describing the first robotic totally endoscopic coronary artery bypass (TECAB) in Southeast Asia. While this achievement deserves recognition, we believe several aspects-including revascularization strategy, pro... read more 

Stochastic neural computation is essential for probabilistic inference and brain-inspired information processing. However, most hardware stochastic neurons generate statistically independent spikes and fail to reproduce the temporal correlations obse... read more 

PURPOSE: To evaluate the value of combining ultrasound parameters with serological markers for predicting postoperative Rex shunt stenosis in children with extrahepatic portal venous obstruction (EHPVO). METHODS: The training cohort and temporal vali... read more 

Metal-organic frameworks (MOFs) have emerged as promising porous materials for CO2 capture due to their tunable pore structures and chemically versatile adsorption sites. However, achieving efficient capture at low CO2 concentrations while balancing ... read more 

Asymmetric C-H borylation provides direct access to enantioenriched organoboron compounds. Predictive catalyst design for this reaction class remains challenging, as stereocontrol arises from coupled interactions among catalyst, substrate, and produc... read more 

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SIGNIFICANCE: Deep learning (DL)-based image reconstruction methods for photoacoustic computed tomography (PACT) have developed rapidly in recent years. However, most existing methods have not employed standardized datasets, and their evaluations rel... read more 

INTRODUCTION: Effective integration of medical artificial intelligence (AI) into healthcare delivery requires healthcare professionals to possess the necessary knowledge and skills. This study examined factors associated with healthcare professionals... read more 

BACKGROUND: Antimicrobial resistance (AMR) is one of the most urgent global public health threats, especially in low- and middle-income countries. In 2019, bacterial AMR was estimated to have directly caused approximately 1.27 million deaths and to h... read more 

Background: The bidirectional link between diabetes and cancer is well established, but the role of dietary factors in predicting their comorbidity remains unclear. This study aims to develop a machine learning model to integrate dietary components a... read more