Artificial Intelligence Medical Compendium

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 

BACKGROUND: Predicting the origin of premature ventricular contractions (PVCs) is challenging when a transition zone (TZ) appears in leads V3 and V4. The aim of this study was to develop a deep-learning model to predict PVC origins and identify elect... read more 

BACKGROUND/AIMS: Recent advances in computer-aided diagnosis (CADx) systems have demonstrated expert-level accuracy in the optical diagnosis of colorectal polyps. High-confidence (HC) diagnoses have been defined as those made within 3 seconds without... read more 

BACKGROUND/AIMS: Early detection and removal of colon polyps are critical for preventing colorectal cancer. Computer-aided detection (CADe) systems have been introduced to increase the polyp detection rate (PDR) during colonoscopy, potentially enhanc... read more 

Nanopore-based single-molecule sequencing (SMS) is a powerful tool for acquiring detailed heterogeneous information on critical building blocks of life, such as nucleic acids, proteins, and a wide array of biomolecules, at the single-molecule level. ... read more 

Membrane-penetrating molecular devices are valuable biological tools. Herein, we describe membrane-targeting molecular devices based on the triplexes of poly T acyclic L-threoninol nucleic acid (L-aTNA) tethered site-specifically to cholesterol and p... read more