NACVI-RADS Scores for Assessing Muscle-Invasive Bladder Cancer Response to Neoadjuvant Immunotherapy with Multiparametric MRI

Academic Background Muscle-invasive bladder cancer (MIBC) is a highly aggressive malignancy. The standard treatment typically involves cisplatin-based neoadjuvant chemotherapy (NAC) or immunotherapy, followed by radical cystectomy (RC) and bilateral pelvic lymph node dissection. However, radical cystectomy significantly impacts patients’ quality of...

Osteochondral Abnormalities on Three-Dimensional Ultrashort Echo Time MRI Scans Are Associated with Knee Cartilage Degradation

Osteochondral Abnormalities on Three-Dimensional Ultrashort Echo Time MRI Scans Are Associated with Knee Cartilage Degradation Academic Background Osteoarthritis (OA) is the most prevalent musculoskeletal disease, characterized by pain and disability. A hallmark of OA is the progressive loss of articular hyaline cartilage, which connects to the sub...

CT- and MRI-Based Factors Associated with Rapid Growth in Early-Stage Hepatocellular Carcinoma

Imaging-Based Factors Associated with Rapid Growth in Early-Stage Hepatocellular Carcinoma Academic Background Hepatocellular carcinoma (HCC) is the most common primary liver cancer globally and the third leading cause of cancer-related mortality, with increasing incidence and mortality rates reported in North America, South America, and Europe. Al...

Evaluation of Multimodal Large Language Models' Accuracy in Interpreting Radiologic Images

Performance of Large Language Models in Radiology Image Interpretation: A Comparative Study with Human Readers Academic Background In recent years, large language models (LLMs) have demonstrated powerful capabilities in various fields, particularly in natural language processing. With the development of multimodal LLMs, these models can now handle ...

Deep Learning Algorithms for Breast Cancer Detection in a UK Screening Cohort: As Stand-Alone Readers and Combined with Human Readers

Deep Learning Algorithms in Breast Cancer Screening Academic Background Breast cancer is one of the most common cancers among women worldwide, and early screening is crucial for improving cure rates. Traditional Computer-Aided Detection (CAD) systems have been widely used in mammographic screening, particularly in the United States. However, while ...

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...