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Effect of Artificial Intelligence as a Second Reader on the Lung Nodule Detection and Localization Accuracy of Radiologists and Non-radiology Physicians in Chest Radiographs: A Multicenter Reader Study.
Acad Radiol
November 2024
Qure.ai Technologies Pvt. Ltd., Floor 6, Wing E, Times Square, Mumbai, Maharashtra, India, 400059 (B.K.).
Article Synopsis
- AI improves the accuracy of lung nodule detection in chest X-rays (CXRs), with a notable increase in sensitivity and area-under-the-curve values when AI is used as a second reader.
- The study involved 300 CXRs from various hospitals, where both radiologists and non-radiology physicians assessed the images once without and once with AI assistance.
- Results showed a significant improvement in detecting nodules (sensitivity increased from 72.8% to 83.5%) while maintaining a similar level of specificity with and without AI.
Teleradiology in Saudi Arabia: a national survey and retrospective review of associated MRI reports.
BMC Health Serv Res
October 2024
Radiological Sciences Department, King Saud University, Office 60, Building 11, Female Campus, Riyadh, 11451, Saudi Arabia.
Background: Due to the recent evolution of telecommunications, it is now acknowledged that digital communication provides essential services for remote areas. Teleradiology allows the ability to obtain images at one site, send them over a distance, and view them remotely for diagnostic or consultation purposes.
Aim: The highlighted objectives include (a) the added value of the service, (b) user satisfaction, and (c) quality assurance according to global best practices and national quality standards.
A retrospective audit of an artificial intelligence software for the detection of intracranial haemorrhage used by a teleradiology company in the United Kingdom.
BJR Open
January 2024
Medica Group Limited, Hastings, TN34 1EA, United Kingdom.
Objectives: Artificial intelligence (AI) algorithms have the potential to assist radiologists in the reporting of head computed tomography (CT) scans. We investigated the performance of an AI-based software device used in a large teleradiology practice for intracranial haemorrhage (ICH) detection.
Methods: A randomly selected subset of all non-contrast CT head (NCCTH) scans from patients aged ≥18 years referred for urgent teleradiology reporting from 44 different hospitals within the United Kingdom over a 4-month period was considered for this evaluation.
Automated Breast Ultrasound With Remote Reading for Primary Breast Cancer Screening: A Prospective Study Involving 46 Community Health Centers in China.
AJR Am J Roentgenol
January 2025
Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, No. 127 Changle West Rd, Xi'an 710032, China.
China has faced barriers to implementation of a population-based mammographic screening program. Breast ultrasound provides an alternative screening modality to mammography in low-resource settings. The purpose of this study was to evaluate the performance of automated breast ultrasound (ABUS) with remote reading as the primary screening modality for breast cancer.
View Article and Find Full Text PDFPatient preferences for teleradiology services and remote image interpretation: An empirical study.
Nutr Health
July 2024
College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Study Purpose: This study aims to examine patient preferences for teleradiology services and remote image interpretation. In this context, this study aims to address the following research questions: (i) How do patients perceive teleradiology services, focusing specifically on comfort, quality of care and satisfaction, communication and information, and accessibility and ease of use; (ii) How do patient demographics (age, gender, urban vs. rural residence) influence the perceptions on teleradiology services?
Methods: A cross-sectional survey design is adopted in this study.
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