Computer-aided detection marks potential areas of concern on the mammogram, and the radiologist determines whether the area warrants further evaluation. Although CAD for mammography was approved by the US Food and Drug Administration (FDA) in 1998,1 by 2001, less than 5% of screening mammograms ...
Differences in the quality of care for women with an abnormal mammogram or breast complaint. J Gen Intern Med. 2000;15(5):321-328.PubMedGoogle ScholarCrossref 26. Saul S. Prone to error: earliest steps to find cancer.New York Times. July 19, 2010. http://www.nytimes.com/2010/07/...
In summary, there is still considerable uncertainty about the clinical significance of variants in the SDHB-D genes, and the relevance of KLLN methyla- tion, with respect to endometrial cancer risk, and it has been publicly recommended that routine testing of these genes should not be conducted...
provide diagnostic radiography (n ¼ 174) to ascertain retake rates for common procedures and found that mean retake rate for the most common procedures ranged from 5.5% (range ¼ 1.2 – 18.2%) for upper gastrointestinal series to 24.7% (range ¼ 1 – 100%) for routine chest ...
How We Can Improve Upon Routine Breast MRI -Maxine S. Jochelson, MD Results of the EA-1141 Abbreviated Breast MRI Trial -Christopher E. Comstock, MD, FACR MRI of the Post-Surgical Breast – Reduction, Reconstruction, and Implants -Debra Monticciolo, MD, FACR ...
These studies indicate that CAD systems need to evolve before doctors can use them on a routine basis. Although the rate of progress in computational medical image analysis has not been as rapid as that in medical imaging technologies, the situation is improving with the introduction of new ...
Even in 2009, virtual slides were already in use for teaching and continuous education and first attempts to introduce them into routine work had begun. At that time the implementation of a complete connected AI supported system was in its childhood [28]. Advances in the quality of whole –...
Successful integration of DL technology into routine clinical practice relies upon achieving diagnostic accuracy that is non-inferior to healthcare professionals. In addition, it must provide other benefits, such as speed, efficiency, cost, bolstering accessibility and the maintenance of ethical conduct....
Deep learning (DL) has the potential to transform medical diagnostics. However, the diagnostic accuracy of DL is uncertain. Our aim was to evaluate the diagnostic accuracy of DL algorithms to identify pathology in medical imaging. Searches were conducted
It remains a question of debate whether false-positive referrals, which received additional imaging or biopsy, have uniformly decreased odds of attending subsequent routine screening rounds (Fitzpatrick et al, 2011; Seigneurin et al, 2011; Maxwell et al, 2013). 1096 www.bjcancer.com | DOI:...