Artificial Intelligence Medical Compendium

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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 

The number of data points per patient considered at the point-of-care in precision cancer medicine continues to increase, and it is accompanied by a growing challenge of translating these observations into clinical insights. This is a time-intensive ... read more 

The generation of highly accurate models of behaviours of individual cells and cell populations through integration of high-resolution assays with advanced computational tools would transform precision medicine. Recent breakthroughs in single-cell an... read more 

Single-cell analyses have transitioned from descriptive atlasing towards inferring causal effects and mechanistic relationships that capture cellular logic. Technological advances and the growing scale of observational and interventional datasets hav... read more