AIMC Journal:
Radiology
Showing 281 to 290 of 374 articles
Deep Learning to Simulate Contrast-Enhanced MRI for Evaluating Suspected Prostate Cancer.
Radiology
Jan 1, 2025
Background Multiparametric MRI, including contrast-enhanced sequences, is recommended for evaluating suspected prostate cancer, but concerns have been raised regarding potential contrast agent accumulation and toxicity. Purpose To evaluate the feasib...
A Machine Learning Model Using Cardiac CT and MRI Data Predicts Cardiovascular Events in Obstructive Coronary Artery Disease.
Radiology
Jan 1, 2025
Background Multimodality imaging is essential for personalized prognostic stratification in suspected coronary artery disease (CAD). Machine learning (ML) methods can help address this complexity by incorporating a broader spectrum of variables. Purp...
Large Language Model Ability to Translate CT and MRI Free-Text Radiology Reports Into Multiple Languages.
Radiology
Dec 1, 2024
Background High-quality translations of radiology reports are essential for optimal patient care. Because of limited availability of human translators with medical expertise, large language models (LLMs) are a promising solution, but their ability to...
Care to Explain? AI Explanation Types Differentially Impact Chest Radiograph Diagnostic Performance and Physician Trust in AI.
Radiology
Nov 1, 2024
Background It is unclear whether artificial intelligence (AI) explanations help or hurt radiologists and other physicians in AI-assisted radiologic diagnostic decision-making. Purpose To test whether the type of AI explanation and the correctness and...
Deep Learning Algorithms for Breast Cancer Detection in a UK Screening Cohort: As Stand-alone Readers and Combined with Human Readers.
Radiology
Nov 1, 2024
Background Deep learning (DL) algorithms have shown promising results in mammographic screening either compared to a single reader or, when deployed in conjunction with a human reader, compared with double reading. Purpose To externally validate the ...
Challenges and Proposed Additional Considerations for Medical Device Approval of Large Language Models Beyond Conventional AI.
Radiology
Sep 1, 2024
Transforming Lung Cancer Screening with AI: Comprehensive Evaluation and Personalized Medicine Prospects.
Radiology
Sep 1, 2024
Generating Synthetic Data for Medical Imaging.
Radiology
Sep 1, 2024
Artificial intelligence (AI) models for medical imaging tasks, such as classification or segmentation, require large and diverse datasets of images. However, due to privacy and ethical issues, as well as data sharing infrastructure barriers, these da...
Combining AI and Radiomics to Improve the Accuracy of Breast US.
Radiology
Sep 1, 2024
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