Artificial Intelligence Medical Compendium

Tuberculosis (TB) remains a global health crisis, with 10.8 million cases and 1.25 million deaths in 2023. The rise of drug-resistant TB has complicated treatment, while traditional diagnostic methods face limitations in speed, cost, and accuracy. Th... read more 

The black-box nature of Generative Adversarial Networks (GANs) hinders the controllable generation of images, particularly in semantic editing that involves making changes to multiple attributes. To address this problem, we propose a Counterfactual G... read more 

BACKGROUND: Searching online for dental emergency treatment as a non-expert can lead to unreliable guidance. We tested the publicly available first multimodal large-language model, ChatGPT-4o, prospectively with real emergency-department avulsion cas... read more 

read more 

BACKGROUND: Traumatic Brain Injury (TBI) is a global health concern, with mild TBI (mTBI) being the most common form. Despite its prevalence, accurately diagnosing mTBI remains a significant challenge. While advanced neuroimaging techniques like diff... read more 

PURPOSE: To evaluate the performance of ChatGPT-4 and Gemini, two large language models (LLMs), in addressing frequently asked questions (FAQs) about eye removal surgeries. METHODS: A set of 24 FAQs related to enucleation and evisceration was identif... read more 

Artificial intelligence (AI) has transformative potential in postoperative wound care through precise, automated, and timely wound assessment, yet specific applications to surgical wounds remain relatively unexplored compared to chronic wound care. T... read more 

Cardiac motion artifacts frequently degrade the quality and interpretability of coronary computed tomography angiography (CCTA) images, making it difficult for radiologists to identify and evaluate the details of the coronary vessels accurately. In t... read more 

This study aims to develop and assess an optimized three-dimensional convolutional neural network model (3D CNN) for predicting major cardiac events from coronary computed tomography angiography (CCTA) images in patients with suspected coronary arter... read more 

Tissue architecture is a product of a multilayered molecular landscape, where even subtle disruptions in the spatial context can initiate or reflect disease processes. Recent advances in high-throughput spatial omics technologies have enabled the inv... read more