Artificial Intelligence Medical Compendium

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 

Sexual sadism is an extreme, pathological manifestation of sadistic traits. While the psychological and forensic characteristics of sexual sadism have been extensively studied, the underlying neurocircuitry is far from being understood. In this study... read more 

Skill discovery in reinforcement learning seeks to autonomously learn a diverse repertoire of behaviors, enabling efficient adaptation to downstream tasks. While existing methods primarily maximize mutual information between skills and states to ensu... read more 

State space model (SSM) is a promising structure for long sequence time-series forecasting (LSTF) and natural language processing (NLP) applications. Although it has demonstrated superior sequence modeling efficiency and ability to compete with and e... read more 

PRCIS: This study investigates the accuracy, readability, utility, and educational value of glaucoma treatment content on social media platforms and explores how large language models assess the quality of social media posts compared with glaucoma ex... read more 

INTRODUCTION: Large language models (LLMs) are utilized to answer queries in urology and oncology, yet the performance is limited due to outdated data and missing source transparency, which undermines clinical reliability and therefore adoption. MATE... read more