Artificial Intelligence Medical Compendium

Gadolinium-based contrast agents (GBCAs) have been fundamental to head and neck cancer (HNC) imaging, enabling effective detection, characterization, treatment response assessment, and disease progression monitoring of lesions. Additionally, perfusio... read more 

Traditional Chinese medicine (TCM), characterized by its multi-component, multi-target, and multi-pathway nature, presents considerable challenges in the identification of chemical constituents and elucidation of metabolic mechanisms. TCM samples enc... read more 

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BACKGROUND: There is little research about the questions asked by people with epilepsy, and how these are answered. Information sources include standardised medical or charity websites, responses generated by artificial intelligence paradigms and inf... read more 

OBJECTIVE: To evaluate and compare the quality and readability of patient education materials (PEM) related to ankylosing spondylitis (AS) generated by four AI-based large language models (LLMs): ChatGPT-4o, ChatGPT-3.5, DeepSeek R1, and DeepSeek V3.... read more 

BACKGROUND: Clinical decision-making is shaped by healthcare provider-related factors such as experience, qualification and cognitive skills. AI-based Clinical Decision Support Systems (CDSS) promise to enhance diagnostic accuracy but may also introd... read more 

INTRODUCTION: The performance of cutting-edge generative artificial intelligence (GenAI) in guiding laypeople on how to give help in health emergencies is attracting growing attention. This study aimed to map and summarise original research evidence ... read more 

Imbalanced datasets represent a significant challenge in accurately estimating Colored Dissolved Organic Matter (CDOM) concentrations in aquatic environments. This study integrates machine learning models with synthetic data generated via classificat... read more 

PURPOSE: Clinical target volume (CTV) delineation for involved-site radiation therapy (ISRT) in Hodgkin lymphoma (HL) is time-consuming because of the need to analyze multi-timepoint positron emission tomography (PET)/computed tomography (CT) scans c... read more 

INTRODUCTION: High-resolution peripheral quantitative computed tomography (HR-pQCT) provides detailed bone microarchitecture assessments, but the interpretability of its many complex parameters remains challenging. This study aimed to develop a deep ... read more