Artificial Intelligence Medical Compendium

PURPOSE: To compare the performance of a vision transformer-based foundation model (RETFound) and a supervised convolutional neural network (VGG-19) for detecting referable glaucoma from fundus photographs. DESIGN: An evaluation of diagnostic technol... read more 

BACKGROUND: Antibiotic residues pose varying degrees of potential hazards to the water environment and human health due to their diverse types. Surface-enhanced Raman spectroscopy (SERS) technology can achieve rapid detection of various antibiotic re... read more 

OBJECTIVE: To train and validate a deep learning-based diagnostic tool capable of accurately segmenting the alveolar cleft region and automatically estimating the required bone graft volume using cone-beam computed tomography (CBCT) imaging. STUDY DE... read more 

Understanding and predicting real-world epidemic dynamics has consistently posed a formidable challenge. This study addresses an age-structured stochastic SIR model incorporating a general incidence rate, high-order white noise, and Lévy jump perturb... read more 

BACKGROUND: Several software programs have specifically been developed to analyse cardiac computed tomography prior to transcatheter aortic valve implantation (TAVI). However, they are not able to perform a complete analysis independently. We report ... read more 

Predicting drug-target affinity (DTA) is critical for discovering and developing hepatoprotective agents that can prevent and treat liver diseases. In this study, we propose BiGraph-DTA, a new predictive model for identifying DTA score prediction for... read more 

Knowledge graphs (KGs) which represent entities and their relations in a structured manner, have become a fundamental resource for various natural language processing tasks. However, the incompleteness of KGs significantly hinders their effectiveness... read more 

The gut microbiota has emerged as a key factor in the pathophysiology of inflammatory bowel disease (IBD), providing novel opportunities for diagnostic innovation. Traditional biomarkers, such as C-reactive protein and fecal calprotectin, are widely ... read more 

BACKGROUND: Artificial intelligence (AI) and virtual reality (VR) technologies are increasingly integrated into psychiatric nursing education, presenting both significant opportunities for innovation and profound risks of dehumanisation. AIM: This de... read more 

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