Artificial Intelligence Medical Compendium

BACKGROUND: Large language models (LLMs) like ChatGPT are increasingly being recognized as credible tools for use across diverse healthcare settings. While artificial intelligence (AI) use has previously been evaluated in emergency medicine, its use ... read more 

Deformable templates, or atlases, are images that represent a prototypical anatomy for a population, and are often enhanced with probabilistic anatomical label maps. They are commonly used in medical image analysis for population studies and computat... read more 

In this study, we present a combined image dataset created from two distinct plant species: Hibiscus and Tea leaf. The dataset consists of high-resolution images of leaves from both species, captured using a SONY α7 II DSLR camera and a OnePlus 7T lu... read more 

Artificial intelligence (AI) has emerged as a transformative tool in liver imaging, offering enhanced diagnostic accuracy, efficiency, and reproducibility. The integration of machine learning and deep learning algorithms into radiological workflows h... read more 

The rapid spread of counterfeit currency threatens global economic stability by undermining public confidence and distorting financial systems. These challenges are particularly severe in cash-dependent economies, where reduced trust in paper currenc... read more 

The dengue fever epidemic is one of the health priorities of the World Health Organization (WHO), and accurately predicting its epidemiological trends is crucial. Multi source geographic data such as temperature, humidity, and precipitation affect th... read more 

BACKGROUND: Schizophrenia is a severe mental disorder, with language dysfunction being one of its prominent features. Studies have shown that language expression patterns in individuals with schizophrenia differ significantly from those of healthy co... read more 

BACKGROUND: Generative Artificial Intelligence (AI)-based conversational agents (CAs) hold promise for expanding mental health care access. AIMS: This study aimed to illustrate the implementation of the Thera Turing Test by comparing the quality of c... read more 

Radiology report generation is critical for efficiency, but current models often lack the structured reasoning of experts and the ability to explicitly ground findings in anatomical evidence, which limits clinical trust and explainability. This paper... read more 

OBJECTIVE: To identify associated and protective factors of rapid spinal radiographic progression in axial spondyloarthritis (axSpA) using artificial intelligence (AI). METHODS: We conducted a hospital-based retrospective cohort study involving 242 a... read more