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

Information Science, Artificial Intelligence, Medicine, Medical Imaging, Oncology,
Deep Learning   Breast Cancer Screening   Stand-Alone Reading   Human Reading   UK Cohort  

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

Information Science, Artificial Intelligence, Medicine, Medical Imaging,
radiology reports   language models   translation accuracy   multilingual support   medical terminology  

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

Medicine, Medical Imaging, Oncology,
breast cancer screening   digital breast tomosynthesis   sequential reading   false-positive rate   interpretation time  

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

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...