AIMC Topic: Radiology

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Radiology staff perspectives are a key determinant for successful AI adoption in clinical practice.

European journal of radiology Aug 22, 2024
Humans Artificial Intelligence Radiology Attitude of Health Personnel Radiologists
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2023 Industry Perceptions Survey on AI Adoption and Return on Investment.

Journal of imaging informatics in medicine Aug 20, 2024
This SIIM-sponsored 2023 report highlights an industry view on artificial intelligence adoption barriers and success related to diagnostic imaging, life sciences, and contrasts. In general, our 2023 survey indicates that there has been progress in ad...
Radiology Surveys and Questionnaires Humans Diagnostic Imaging Artificial Intelligence Workflow
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From Revisions to Insights: Converting Radiology Report Revisions into Actionable Educational Feedback Using Generative AI Models.

Journal of imaging informatics in medicine Aug 19, 2024
Expert feedback on trainees' preliminary reports is crucial for radiologic training, but real-time feedback can be challenging due to non-contemporaneous, remote reading and increasing imaging volumes. Trainee report revisions contain valuable educat...
Formative Feedback Reproducibility of Results Humans Radiology
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Artificial intelligence in musculoskeletal applications: a primer for radiologists.

Diagnostic and interventional radiology (Ankara, Turkey) Aug 19, 2024
As an umbrella term, artificial intelligence (AI) covers machine learning and deep learning. This review aimed to elaborate on these terms to act as a primer for radiologists to learn more about the algorithms commonly used in musculoskeletal radiolo...
Deep Learning Radiology Radiologists Musculoskeletal Diseases Machine Learning Algorithms Humans Artificial Intelligence Musculoskeletal System
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[Not Available].

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Aug 15, 2024
Germany Artificial Intelligence Radiology Humans
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Practical Evaluation of ChatGPT Performance for Radiology Report Generation.

Academic radiology Aug 13, 2024
RATIONALE AND OBJECTIVES: The process of generating radiology reports is often time-consuming and labor-intensive, prone to incompleteness, heterogeneity, and errors. By employing natural language processing (NLP)-based techniques, this study explore...
Radiology Information Systems Humans Natural Language Processing Artificial Intelligence Radiology Electronic Health Records
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End-to-end reproducible AI pipelines in radiology using the cloud.

Nature communications Aug 13, 2024
Artificial intelligence (AI) algorithms hold the potential to revolutionize radiology. However, a significant portion of the published literature lacks transparency and reproducibility, which hampers sustained progress toward clinical translation. Al...
Radiology Cloud Computing Deep Learning Image Processing, Computer-Assisted Artificial Intelligence Algorithms Reproducibility of Results Neoplasms Humans
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Simulation training in mammography with AI-generated images: a multireader study.

European radiology Aug 12, 2024
OBJECTIVES: The interpretation of mammograms requires many years of training and experience. Currently, training in mammography, like the rest of diagnostic radiology, is through institutional libraries, books, and experience accumulated over time. W...
Female Breast Neoplasms Humans Artificial Intelligence Simulation Training Radiology Clinical Competence Internship and Residency Mammography
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Capability of multimodal large language models to interpret pediatric radiological images.

Pediatric radiology Aug 12, 2024
BACKGROUND: There is a dearth of artificial intelligence (AI) development and research dedicated to pediatric radiology. The newest iterations of large language models (LLMs) like ChatGPT can process image and video input in addition to text. They ar...
Humans Artificial Intelligence Female Radiology Male Pediatrics Radiographic Image Interpretation, Computer-Assisted Child
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A generalist vision-language foundation model for diverse biomedical tasks.

Nature medicine Aug 7, 2024
Traditional biomedical artificial intelligence (AI) models, designed for specific tasks or modalities, often exhibit limited flexibility in real-world deployment and struggle to utilize holistic information. Generalist AI holds the potential to addre...
Artificial Intelligence Radiology Humans
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