Large Language Model Ability to Translate CT and MRI Free-Text Radiology Reports into Multiple Languages

Capability of Large Language Models in Translating CT and MRI Free-Text Radiology Reports Academic Background In the context of globalization, the increasing mobility of patients necessitates the translation of radiology reports, which are essential tools for disease diagnosis and management, into various languages. However, language barriers can i...

Changes in Reader Performance During Sequential Reading of Breast Cancer Screening Digital Breast Tomosynthesis Examinations

Changes in Reader Performance During Sequential Reading of Breast Cancer Screening Digital Breast Tomosynthesis Examinations Academic Background Breast cancer is one of the most common cancers among women worldwide, and early screening is crucial for improving cure rates. Traditional digital mammography (DM) is the primary tool for breast cancer sc...

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

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

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

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

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

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

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...

The Role of lncRNA-Mediated ceRNA Network in Penile Squamous Cell Carcinoma

The Role of lncRNA-Mediated ceRNA Network in Penile Squamous Cell Carcinoma Academic Background Penile Squamous Cell Carcinoma (PSCC) is a relatively rare but life-threatening malignancy that poses a significant health risk to men, particularly in developing countries. Despite advancements in medical diagnosis and treatment, the overall survival ra...

Combined Single Cell and Spatial Transcriptome Analysis Reveals Cellular Heterogeneity of Hedgehog Pathway in Gastric Cancer

Combined Single-Cell and Spatial Transcriptome Analysis Reveals Cellular Heterogeneity of the Hedgehog Pathway in Gastric Cancer Academic Background Gastric cancer (GC) is one of the most common and deadly malignancies worldwide, with high incidence and mortality rates. Despite advancements in chemotherapy, radiotherapy, and targeted therapy, the t...