Artificial Intelligence Medical Compendium

Burn inhalation injury (BII) increases mortality and morbidity in burns patients. Accurate bronchoscopic grading, as the gold standard diagnostic modality, is important for prognostication and to optimize management. However, the most common currentl... read more 

This paper investigates a class of McKean-Vlasov stochastic recurrent neural networks (MV-SRNNs) incorporating both time-varying discrete and distributed delays. The system coefficients depend not only on the state of the underlying stochastic proces... read more 

Mix-up is a key technique for consistency regularization-based semi-supervised learning methods, blending two or more images to generate strong-perturbed samples for strong-weak pseudo supervision. Existing mix-up operations are performed either rand... read more 

Colorectal cancer is usually caused by malignant transformation of early colon polyps. Early polyps are benign, but if left untreated, they can progress to cancer. Early diagnosis of polyps can significantly improve the survival rate of patients. To ... read more 

Electroencephalography (EEG)-based visual decoding has significant potential in brain-computer interfaces but faces substantial challenges due to noise, inter-subject variability, and limited fine-grained alignment between neural signals and visual r... read more 

BACKGROUND AND OBJECTIVE: Conventional apoptosis detection methods primarily depend on fluorescence staining, which is labor-intensive, potentially cytotoxic, and unsuitable for real-time monitoring. To overcome these limitations, this study presents... read more 

Zoonotic diseases continue to rise globally, yet no existing genomic tool integrates virulence, antimicrobial resistance (AMR), and mobile genetic elements to predict zoonotic potential. Here, we present Zoonoticus, a machine learning-based model tha... read more 

Oral leukoplakia, a potentially malignant disorder, is a critical precursor to oral squamous cell carcinoma (OSCC), which accounts for 90 % of oral cancer cases. Early recognition of leukoplakia progression is essential for timely intervention and im... read more 

Adult-onset immunodeficiency (AOID) caused by anti-interferon-γ autoantibodies (anti-IFN-γ Abs) lacks rapid, sensitive diagnostic tools suitable for field use. A recent innovation-3D origami paper-based analytical devices (3D-osPADs) with gold nanopa... read more 

BACKGROUND: This study elucidates the intricate relationship between stressful life events and the development of ADHD symptoms in children, acknowledging the considerable variability in individual responses. By examining these differences, we aim to... read more