Myocardial Fibrosis Assessment at 3-T versus 5-T Myocardial Late Gadolinium Enhancement MRI: Early Results

Medicine, Medical Imaging, Cardiovascular System,
myocardial fibrosis   late gadolinium enhancement   5T MRI   3T MRI   signal-to-noise ratio   contrast-to-noise ratio   image quality  

Feasibility of Myocardial Late Gadolinium Enhancement MRI at 5T versus 3T for Myocardial Fibrosis Assessment Academic Background Myocardial fibrosis is a common pathological feature of various cardiac diseases, and accurate assessment of myocardial fibrosis is crucial for diagnosis, treatment, and prognosis. Cardiac magnetic resonance imaging (MRI)...

AI Explanation Type Affects Physician Diagnostic Performance and Trust in AI

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Imaging,
Artificial Intelligence   Chest Radiograph   Diagnostic Performance   Physician Trust   Explanation Type  

The Impact of AI Explanation Types on Physician Diagnostic Performance and Trust Academic Background In recent years, the development of artificial intelligence (AI) diagnostic systems in healthcare and radiology has progressed rapidly, particularly in assisting overburdened healthcare providers, showcasing the potential to improve patient care. As...

The Utility of GPT-4 in Chest Radiograph Evaluation

Information Science, Artificial Intelligence, Medicine, Medical Imaging,
Artificial Intelligence   Radiology   Data Analysis   Machine Learning   Chest Radiographs  

The Potential of GPT-4 in Chest Radiograph Evaluation: A Retrospective Study Academic Background In recent years, artificial intelligence (AI) has been increasingly applied in the medical field, particularly in radiology. The introduction of AI tools is transforming clinical practice, especially in imaging diagnostics. However, the widespread adopt...

Quantitative Assessment of GPT-4V’s Multimodal and Multianatomic Region Capabilities in Radiology

Information Science, Artificial Intelligence, Medicine, Medical Imaging,
GPT-4V   Radiology   Medical Imaging   Quantitative Analysis   Artificial Intelligence   Multimodal   Multianatomic Region  

Quantitative Assessment of Large Vision-Language Models in Radiology: GPT-4V’s Multimodal and Multi-Anatomic Region Capabilities Academic Background In recent years, large language models (LLMs) such as OpenAI’s ChatGPT have made significant progress in text generation. These models, based on the Transformer architecture and trained on massive amou...

Diagnostic Accuracy of CT for the Detection of Hepatic Steatosis: A Systematic Review and Meta-Analysis

Medicine, Hepatobiliary System, Gastroenterology, Medical Imaging,
hepatic steatosis   CT diagnosis   meta-analysis   noncontrast CT   contrast-enhanced CT   dual-energy CT   diagnostic accuracy  

Diagnostic Accuracy of CT for the Detection of Hepatic Steatosis: A Systematic Review and Meta-Analysis Academic Background Hepatic steatosis is the result of the abnormal accumulation of triglycerides in hepatocytes, which can initiate a cascade of inflammatory responses, referred to as steatotic liver disease (SLD). Metabolic dysfunction–associat...

Assessment of Nonmass Lesions Detected with Screening Breast US Based on Mammographic Findings

Medicine, Medical Imaging, Oncology,
Nonmass Lesions   Breast Cancer Screening   Ultrasound   Mammography   Malignancy  

Assessment of Nonmass Lesions Detected with Screening Breast US Based on Mammographic Findings Academic Background Breast cancer is one of the most common malignant tumors among women worldwide, and early detection and diagnosis are crucial for improving patient survival rates. Breast ultrasound (US), as a non-invasive and radiation-free imaging mo...