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| http://dx.doi.org/10.1016/j.jacadv.2024.101288 | DOI Listing |
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My AI-Assisted Mammography Report Says "Breast Artery Calcifications": Should I See a Preventive Cardiologist?
JACC Adv
November 2024
Department of Cardiovascular Disease, Inova Schar Heart and Vascular, Falls Church, Virginia, USA.
A novel technology for harmonizing and analyzing cancer data. Observations from integrating health connect in Newfoundland and Labrador, Canada.
Health Informatics J
July 2024
Research and Innovation, Newfoundland and Labrador Health Services, St. John's, NL, Canada.
This article aims to describe the implementation of a new health information technology system called Health Connect that is harmonizing cancer data in the Canadian province of Newfoundland and Labrador; explain high-level technical details of this technology; provide concrete examples of how this technology is helping to improve cancer care in the province, and to discuss its future expansion and implications. We give a technical description of the Health Connect architecture, how it integrated numerous data sources into a single, scalable health information system for cancer data and highlight its artificial intelligence and analytics capacity. We illustrated two practical achievements of Health Connect.
View Article and Find Full Text PDFEarly Indicators of the Impact of Using AI in Mammography Screening for Breast Cancer.
Radiology
June 2024
From the Departments of Computer Science (A.D.L., M.L., M.N.) and Public Health (E.L.), University of Copenhagen, Copenhagen, Denmark; Department of Breast Examinations, Gentofte Hospital, Kildegårdsvej 30A, 2900 Hellerup, Denmark (A.D.L., I.V.); Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (N.K.); and ScreenPoint Medical, Nijmegen, the Netherlands (N.K.).
Background Retrospective studies have suggested that using artificial intelligence (AI) may decrease the workload of radiologists while preserving mammography screening performance. Purpose To compare workload and screening performance for two cohorts of women who underwent screening before and after AI system implementation. Materials and Methods This retrospective study included 50-69-year-old women who underwent biennial mammography screening in the Capital Region of Denmark.
View Article and Find Full Text PDFWomen's attitudes and perspectives on the use of artificial intelligence in the assessment of screening mammograms.
Eur J Radiol
June 2024
Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway; Department of Health and Care Sciences, UiT, The Artic University of Norway, Tromsø, Norway. Electronic address:
Purpose: To investigate attitudes and perspectives on the use of artificial intelligence (AI) in the assessment of screening mammograms among women invited to BreastScreen Norway.
Method: An anonymous survey was sent to all women invited to BreastScreen Norway during the study period, October 10, 2022, to December 25, 2022 (n = 84,543). Questions were answered on a 10-point Likert scale and as multiple-choice, addressing knowledge of AI, willingness to participate in AI studies, information needs, confidence in AI results and AI assisted reading strategies, and thoughts on concerns and benefits of AI in mammography screening.
Diagnostic capabilities of artificial intelligence as an additional reader in a breast cancer screening program.
Eur Radiol
September 2024
Department of Radiology, Acibadem Mehmet Ali Aydinlar University, School of Medicine, Istanbul, Turkey.
Objectives: We aimed to evaluate the early-detection capabilities of AI in a screening program over its duration, with a specific focus on the detection of interval cancers, the early detection of cancers with the assistance of AI from prior visits, and its impact on workload for various reading scenarios.
Materials And Methods: The study included 22,621 mammograms of 8825 women within a 10-year biennial two-reader screening program. The statistical analysis focused on 5136 mammograms from 4282 women due to data retrieval issues, among whom 105 were diagnosed with breast cancer.
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