AIMC Topic: Radiologists
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The role of artificial intelligence in clinical imaging and workflows.
Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association
Dec 1, 2022
Evidence-based medicine, outcomes management, and multidisciplinary systems are laying the foundation for radiology on the cusp of a new day. Environmental and operational forces coupled with technological advancements are redefining the veterinary r...
Artificial Intelligence-Based Identification of Normal Chest Radiographs: A Simulation Study in a Multicenter Health Screening Cohort.
Korean journal of radiology
Oct 1, 2022
OBJECTIVE: This study aimed to investigate the feasibility of using artificial intelligence (AI) to identify normal chest radiography (CXR) from the worklist of radiologists in a health-screening environment.
Artificial intelligence to complement rather than replace radiologists in breast screening.
The Lancet. Digital health
Jul 1, 2022
Clinical Comparable Corpus Describing the Same Subjects with Different Expressions.
Studies in health technology and informatics
Jun 6, 2022
Medical artificial intelligence (AI) systems need to learn to recognize synonyms or paraphrases describing the same anatomy, disease, treatment, etc. to better understand real-world clinical documents. Existing linguistic resources focus on variants ...
Quality use of artificial intelligence in medical imaging: What do radiologists need to know?
Journal of medical imaging and radiation oncology
Mar 1, 2022
The application of artificial intelligence, and in particular machine learning, to the practice of radiology, is already impacting the quality of imaging care. It will increasingly do so in the future. Radiologists need to be aware of factors that go...
Barriers to artificial intelligence implementation in radiology practice: What the radiologist needs to know.
Radiologia
Jan 1, 2022
Artificial Intelligence has the potential to disrupt the way clinical radiology is practiced globally. However, there are barriers that radiologists should be aware of prior to implementing Artificial Intelligence in daily practice. Barriers include ...
Artificial Intelligence in Radiology: an introduction to the most important concepts.
Radiologia
Jan 1, 2022
The interpretation of medical imaging tests is one of the main tasks that radiologists do. For years, it has been a challenge to teach computers to do this kind of cognitive task; the main objective of the field of computer vision is to overcome this...
Artificial intelligence in radiology: Are Saudi residents ready, prepared, and knowledgeable?
Saudi medical journal
Jan 1, 2022
OBJECTIVES: To assess the knowledge and perception of artificial intelligence (AI) among radiology residents across Saudi Arabia and assess their interest in learning about AI.
A Survey on Machine Learning Based Medical Assistive Systems in Current Oncological Sciences.
Current medical imaging
Jan 1, 2022
BACKGROUND: Cancer is one of the life-threatening diseases which is affecting a large number of population worldwide. Cancer cells multiply inside the body without showing much symptoms on the surface of the skin, thereby making it difficult to predi...
A Novel Deep Learning Based Computer-Aided Diagnosis System Improves the Accuracy and Efficiency of Radiologists in Reading Biparametric Magnetic Resonance Images of the Prostate: Results of a Multireader, Multicase Study.
Investigative radiology
Oct 1, 2021
OBJECTIVE: The aim of this study was to evaluate the effect of a deep learning based computer-aided diagnosis (DL-CAD) system on radiologists' interpretation accuracy and efficiency in reading biparametric prostate magnetic resonance imaging scans.
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