Artificial Intelligence Medical Compendium

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Functional near-infrared spectroscopy quantifies cerebral hemodynamic signals by capturing oxygenation-dependent changes in hemoglobin in a noninvasive, portable, and ecologically valid manner, providing a unique insight into neurovascular coupling. ... read more 

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OBJECTIVE: The aim of this study is to analyze AI-based scientific publications in psychiatry using bibliometric methods to identify prominent themes, research trends, and future opportunities. METHODS: Original articles published between 1980 and 20... read more 

OBJECTIVE: Although several psychotherapeutic interventions have been introduced for patients receiving maintenance hemodialysis (MHD), challenges such as feelings of shame persist. Prior studies indicate that robot-assisted interviews evoke less sha... read more 

PURPOSE: With the rising prevalence of obesity and metabolic syndrome, there is an increasing need for noninvasive quantification of pancreatic fat as a marker of metabolic risk. Chemical shift encoding (CSE)-based water-fat separation enables pancre... read more 

BACKGROUND: Biliary atresia (BA) is a rare condition that can lead to serious health complications. Artificial Intelligence (AI)- based medical imaging has shown potential to improve the detection of BA diagnosis, offering increased accuracy over tra... read more 

The absence of accurate, rapid, fully automated, and cost-effective detection methods has hindered the clinical translation of tumor-derived DNA mutations as cancer biomarkers. Here, we develop a sample-to-answer platform, termed multiplexed droplet ... read more 

OBJECTIVE: To investigate the feasibility of utilizing neural network algorithm to analyze parameters from matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) for rapid identification of methicillin-resistant S... read more