AIMC Topic: Radiologists
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An Interventional Radiologist's Primer of Critical Appraisal of Artificial Intelligence Research.
Journal of vascular and interventional radiology : JVIR
Sep 26, 2023
Recent advances in artificial intelligence (AI) are expected to cause a significant paradigm shift in all digital data-driven aspects of information gain, processing, and decision making in both clinical healthcare and medical research. The field of ...
Non-inferiority of deep learning ischemic stroke segmentation on non-contrast CT within 16-hours compared to expert neuroradiologists.
Scientific reports
Sep 26, 2023
We determined if a convolutional neural network (CNN) deep learning model can accurately segment acute ischemic changes on non-contrast CT compared to neuroradiologists. Non-contrast CT (NCCT) examinations from 232 acute ischemic stroke patients who ...
The power of the radiologist's last word: can deep learning models accurately differentiate between high-grade gliomas and metastasis through natural language processing on radiology reports?
European radiology
Sep 22, 2023
Ready for testing artificial intelligence in radiology clinical practice: We would do well to be in the front line leveraging their strengths but also highlighting today weaknesses.
European radiology
Sep 22, 2023
Ethical Considerations and Fairness in the Use of Artificial Intelligence for Neuroradiology.
AJNR. American journal of neuroradiology
Aug 31, 2023
In this review, concepts of algorithmic bias and fairness are defined qualitatively and mathematically. Illustrative examples are given of what can go wrong when unintended bias or unfairness in algorithmic development occurs. The importance of expla...
Use of artificial intelligence in triaging of chest radiographs to reduce radiologists' workload.
European radiology
Aug 24, 2023
OBJECTIVES: To evaluate whether deep learning-based detection algorithms (DLD)-based triaging can reduce outpatient chest radiograph interpretation workload while maintaining noninferior sensitivity.
Norwegian radiologists' expectations of artificial intelligence in mammographic screening - A cross-sectional survey.
European journal of radiology
Aug 23, 2023
PURPOSE: To explore Norwegian breast radiologists' expectations of adding artificial intelligence (AI) in the interpretation procedure of screening mammograms.
Effects of a comprehensive brain computed tomography deep learning model on radiologist detection accuracy.
European radiology
Aug 22, 2023
OBJECTIVES: Non-contrast computed tomography of the brain (NCCTB) is commonly used to detect intracranial pathology but is subject to interpretation errors. Machine learning can augment clinical decision-making and improve NCCTB scan interpretation. ...
Closing the loop for AI-ready radiology.
RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
Aug 15, 2023
BACKGROUND: In recent years, AI has made significant advancements in medical diagnosis and prognosis. However, the incorporation of AI into clinical practice is still challenging and under-appreciated. We aim to demonstrate a possible vertical integr...
How artificial intelligence is reshaping the autonomy and boundary work of radiologists. A qualitative study.
Sociology of health & illness
Aug 13, 2023
The application of artificial intelligence (AI) in medical practice is spreading, especially in technologically dense fields such as radiology, which could consequently undergo profound transformations in the near future. This article aims to qualita...
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