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 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 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 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...

Automated Analysis of Ultrastructure: A Study Based on Large-Scale Hyperspectral Electron Microscopy Academic Background Electron Microscopy (EM) is a key technique for studying biological ultrastructure, revealing the fine details of cells at biomolecular resolution. In recent years, advancements in automation and digitization have enabled EM to c...