AIMC Topic: Radiology
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Large language models in methodological quality evaluation of radiomics research based on METRICS: ChatGPT vs NotebookLM vs radiologist.
European journal of radiology
Jan 29, 2025
OBJECTIVES: This study aimed to evaluate the effectiveness of large language models (LLM) in assessing the methodological quality of radiomics research, using METhodological RadiomICs Score (METRICS) tool.
A retrospective analysis of medical student authorship in highest impact radiology journal publications.
Current problems in diagnostic radiology
Jan 27, 2025
OBJECTIVES: To assess medical student authorship in radiology research, focusing on the prevalence and impact of student articles, demographic trends, and potential barriers and opportunities for involvement.
Semiautomated Extraction of Research Topics and Trends From National Cancer Institute Funding in Radiological Sciences From 2000 to 2020.
International journal of radiation oncology, biology, physics
Jan 25, 2025
PURPOSE: Investigators and funding organizations desire knowledge on topics and trends in publicly funded research but current efforts for manual categorization have been limited in breadth and depth of understanding. We present a semiautomated analy...
Performance Evaluation and Implications of Large Language Models in Radiology Board Exams: Prospective Comparative Analysis.
JMIR medical education
Jan 16, 2025
BACKGROUND: Artificial intelligence advancements have enabled large language models to significantly impact radiology education and diagnostic accuracy.
Artificial Intelligence in Radiology: A Leadership Survey.
Journal of the American College of Radiology : JACR
Jan 10, 2025
PURPOSE: Surveys to assess views about artificial intelligence (AI) of various diagnostic radiology constituencies have revealed interesting combinations of enthusiasm, caution, and implementation priorities. We surveyed academic radiology leaders ab...
Leveraging Large Language Models in Radiology Research: A Comprehensive User Guide.
Academic radiology
Jan 6, 2025
Large Language Models (LLMs) such as ChatGPT have been increasingly integrated into radiology research, revolutionizing the research landscape. The Radiology Research Alliance (RRA) of the Association for Academic Radiology (AAR) has convened a Task ...
Leveraging Transformers-based models and linked data for deep phenotyping in radiology.
Computer methods and programs in biomedicine
Jan 3, 2025
BACKGROUND AND OBJECTIVE: Despite significant investments in the normalization and the standardization of Electronic Health Records (EHRs), free text is still the rule rather than the exception in clinical notes. The use of free text has implications...
Artificial intelligence in emergency and trauma radiology: ASER AI/ML expert panel Delphi consensus statement on research guidelines, practices, and priorities.
Emergency radiology
Dec 23, 2024
BACKGROUND: Emergency/trauma radiology artificial intelligence (AI) is maturing along all stages of technology readiness, with research and development (R&D) ranging from data curation and algorithm development to post-market monitoring and retrainin...
AI in Dental Radiology-Improving the Efficiency of Reporting With ChatGPT: Comparative Study.
Journal of medical Internet research
Dec 23, 2024
BACKGROUND: Structured and standardized documentation is critical for accurately recording diagnostic findings, treatment plans, and patient progress in health care. Manual documentation can be labor-intensive and error-prone, especially under time c...
Assessing Large Language Models for Oncology Data Inference From Radiology Reports.
JCO clinical cancer informatics
Dec 11, 2024
PURPOSE: We examined the effectiveness of proprietary and open large language models (LLMs) in detecting disease presence, location, and treatment response in pancreatic cancer from radiology reports.
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