Artificial Intelligence Medical Compendium

Tuberculosis (TB) detection from chest X-ray (CXR) images remains a critical challenge in global healthcare. This study introduces Vit-Ensemble, a novel ensemble model leveraging Vision Transformer (ViT) architectures for robust TB detection. The cor... read more 

This study presents a machine learning-based approach for predicting the binding affinity between volatile organic compounds (VOCs) and a category of odorant-binding proteins (OBPs) from moths to accelerate molecular screening and reduce experimental... read more 

PURPOSE: Observing choroidal volume changes in myopia with various degrees via spectral-domain optical coherence tomography (SD-OCT) images. METHODS: 215 eyes of 118 myopia patients were divided into 3 groups according to spherical equivalent: low my... read more 

BACKGROUND: Gastric cancer (GC) is a leading cause of global cancer mortality, characterized by aggressive progression and poor prognosis. The development of robust strategies to identify and characterize GC disease progression is urgently needed to ... read more 

Lung adenocarcinoma (LUAD) is the most common histological type of lung cancer, characterized by high mortality, recurrence, and metastasis. Despite advancements in therapies such as surgery, targeted treatment and immunotherapy, therapeutic resistan... read more 

Natural products (NPs) are increasingly applied in food, medicine, and biotechnology. However, their biosynthesis remains constrained by low titers and yields. Transcription factor-based biosensors (TFBs) can convert biological signals into measurabl... read more 

Pesticides are essential for crop protection, but their potential toxicity poses significant environmental and health risks. Although numerous toxicological studies have been conducted, accurately predicting pesticide phytotoxicity remains challengin... read more 

Magnetic resonance imaging (MRI) is a crucial medical imaging modality. However, long acquisition times remain a significant challenge, leading to increased costs, and reduced patient comfort. Recent studies have shown the potential of using deep lea... read more 

Nanoplastics are emerging environmental contaminants that increasingly threaten soil ecosystems, yet their effects on microbial behavior remain poorly understood. This is mainly due to the lack of experimental tools capable of directly observing micr... read more 

The early detection and continuous monitoring of psychosis is of utmost importance in ensuring timely and effective treatment. Current mental health care is unable to meet this demand, partially because methods to detect psychosis are relatively time... read more