Artificial Intelligence Medical Compendium

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language models (LLMs) are utilized to answer queries in urology and oncology, yet the performance is limited due to outdated data and missing source transparency, which undermines clinical reliability and therefore adoption.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

The rapid integration of Artificial Intelligence (AI) into healthcare promises significant benefits but also raises unprecedented ethical, clinical, and legal challenges. Current medico-legal frameworks, primarily designed for human decision-making, ... read more 

Restricted kernel machines (RKMs) have significantly advanced machine learning by integrating kernel functions with least squares support vector machines (LSSVM), adopting an energy function akin to restricted Boltzmann machines (RBM) to enhance gene... read more 

It is a critical challenge to realize the control of dissolved oxygen (DO) in uncertain aeration process, due to the inherent nonlinearity, dynamic and unknown disturbances in wastewater treatment process (WWTP). To address this issue, the incrementa... read more 

Magnetic resonance imaging (MRI) is an essential examination for ovarian cancer, in which ovarian tumor segmentation is crucial for personalized diagnosis and treatment planning. However, ovarian tumors often present with mixed cystic and solid regio... read more 

OBJECTIVE: This study aimed to evaluate the diagnostic performance of ChatGPT in identifying acute shoulder dislocations and to compare its accuracy with that of orthopedic specialists and emergency medicine residents. METHODS: A total of 250 anterop... read more