AIMC Topic: Radiologists
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Implementation and design of artificial intelligence in abdominal imaging.
Abdominal radiology (New York)
Dec 1, 2020
Artificial intelligence is a technique that holds promise for helping radiologists improve the care of our patients. At the same time, implementation decisions we make now can have a long-lasting effect on patient outcomes. In the following article, ...
Workflow Applications of Artificial Intelligence in Radiology and an Overview of Available Tools.
Journal of the American College of Radiology : JACR
Nov 1, 2020
In the past decade, there has been tremendous interest in applying artificial intelligence (AI) to improve the field of radiology. Currently, numerous AI applications are in development, with potential benefits spanning all steps of the imaging chain...
Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study.
The Lancet. Digital health
Sep 1, 2020
BACKGROUND: We examined the potential change in cancer detection when using an artificial intelligence (AI) cancer-detection software to triage certain screening examinations into a no radiologist work stream, and then after regular radiologist asses...
Artificial Intelligence Algorithm Detecting Lung Infection in Supine Chest Radiographs of Critically Ill Patients With a Diagnostic Accuracy Similar to Board-Certified Radiologists.
Critical care medicine
Jul 1, 2020
OBJECTIVES: Interpretation of lung opacities in ICU supine chest radiographs remains challenging. We evaluated a prototype artificial intelligence algorithm to classify basal lung opacities according to underlying pathologies.
Thoracic Radiologists' Versus Computer Scientists' Perspectives on the Future of Artificial Intelligence in Radiology.
Journal of thoracic imaging
Jul 1, 2020
BACKGROUND: There is intense interest and speculation in the application of artificial intelligence (AI) to radiology. The goals of this investigation were (1) to assess thoracic radiologists' perspectives on the role and expected impact of AI in rad...
Introducing New Measures of Inter- and Intra-Rater Agreement to Assess the Reliability of Medical Ground Truth.
Studies in health technology and informatics
Jun 16, 2020
In this paper, we present and discuss two new measures of inter- and intra-rater agreement to assess the reliability of the raters, and hence of their labeling, in multi-rater setings, which are common in the production of ground truth for machine le...
A Deep Convolutional Neural Network With Performance Comparable to Radiologists for Differentiating Between Spinal Schwannoma and Meningioma.
Spine
May 15, 2020
STUDY DESIGN: Retrospective analysis of magnetic resonance imaging (MRI).
Radiologists: Protagonists of the Health Care Artificial Intelligence Revolution.
Journal of thoracic imaging
May 1, 2020
Artificial Intelligence Improves Breast Cancer Screening in Study.
JAMA
Feb 11, 2020
A Survey on Machine Learning Algorithms for the Diagnosis of Breast Masses with Mammograms.
Current medical imaging
Jan 1, 2020
Breast cancer is leading cancer among women for the past 60 years. There are no effective mechanisms for completely preventing breast cancer. Rather it can be detected at its earlier stages so that unnecessary biopsy can be reduced. Although there ar...
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