Table 3. Five AI-based solutions chosen for evaluation and comparison.

Name	Link	Description	References (including usage examples)
qXR	https://app.qure.ai/landing-page	The software helps detecting findings across lungs, pleura, mediastinum, bones, diaphragm, and heart on chest X-ray in <1 min. It is able to differentiate normal X-ray studies and flag radiological signs of such conditions as TB, lung cancer and heart failure	(15-17)
Celsus	https://lk.celsus.ai/demo?lang=eng	The solution reduces the analysis time and improves the interpretation accuracy for fluorography and radiography images	(18)
Program for automated analysis of digital fluorograms	http://www.ftizisbiomed.ru/	Analyzes digital fluorographic images and identifies pathological foci	(19)
Care Mentor AI	http://carementor.ru/	Interprets the results of radiological examinations (X-ray, CT, MRI, and mammography) in order to optimize the detection of various pathological conditions at an early stage	(13,20-26)
Lunit INSIGHT CXR	https://insight.lunit.io/cxr/login	Computer-Assisted Detection Software that serves as a concurrent/second reading aid for the physicians. Its capabilities include detection, localization, identification, and reporting of suspicious abnormal radiologic findings	(27-29)

AI, artificial intelligence; TB, tuberculosis; CT, computed tomography; MRI, magnetic resonance imaging; CXR, chest X-ray.