Artificial Intelligence Medical Compendium

PURPOSE OF REVIEW: Gonorrhea is the second most prevalent bacterial sexually transmitted infection globally. The proliferation of antimicrobial-resistant strains has severely limited treatment options. New treatment modalities against multidrug-resis... read more 

PURPOSE OF REVIEW: To highlight emerging applications of anterior segment optical coherence tomography (AS-OCT) in the diagnosis, risk stratification, and management of angle closure glaucoma, with particular emphasis on the integration of artificial... read more 

PURPOSE OF REVIEW: The integration of artificial intelligence into allocation, organ retrieval and transplantation processes represents an innovative approach to address these challenges and enhance the efficiency and effectiveness of healthcare deli... read more 

BACKGROUND: Dynamic infrared thermography (DIRT) is increasingly being utilized for perforator selection and perfusion assessment in reconstructive microsurgery, particularly in procedures such as deep inferior epigastric perforator (DIEP) flap recon... read more 

Many diseases have a genetic origin, and analyzing intracellular structures through genetic data yields specific features for the diagnosis and classification of viral disease samples. In this study, 30 types of viruses were analyzed using a graph-ba... read more 

As an intangible cultural heritage, food products derived from naturally pigmented traditional starches are facing a market trust crisis due to the adulteration of dyed starch. This study aimed to develop an integrated identification system to differ... read more 

PURPOSE OF REVIEW: This review aims to highlight the expanding role of big data in ophthalmology, provide a comparison of the most prominent databases, and their use in glaucoma-specific research. Understanding the strengths and limitations of each d... read more 

Salmonella is a major foodborne pathogen, frequently linked to poultry and posing serious food safety and public health risks. To investigate its epidemiology in retail chicken in Shaanxi Province, China, we conducted a comprehensive study integratin... read more 

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition whose rising prevalence places increasing demands on a lengthy diagnostic process. Machine learning (ML) has shown promise in automating ASD diagnosis, but most existing models ... read more 

Rain often poses inevitable threats to deep neural network (DNN)-based perception systems, and a comprehensive investigation of the potential risks of rain to DNNs is of great importance. However, it is rather difficult to collect or synthesize rainy... read more