Detecting new lung cancer cases using artificial intelligence: clinical and economic evaluation of a retrospective analysis of computed tomography scans 2 years after the COVID-19 pandemic

• Published in: Digital diagnostics Vol. 5; no. 4; pp. 725 - 739
• Main Authors: Zukov, Ruslan A., Safontsev, Ivan P., Klimenok, Marina P., Zabrodskaya, Tatyana E., Merkulova, Natalya A., Chernina, Valeria Yu, Belyaev, Mikhail G., Goncharov, Mikhail Yu, Omelyanovskiy, Vitaly V., Ulianova, Ksenia A., Soboleva, Evgenia A., Blokhina, Maria E., Nalivkina, Elena A., Gombolevskiy, Victor A.
• Format: Journal Article
• Language: English
• Published: Eco-Vector 31.12.2024
• Subjects: artificial intelligence; chest; computed tomography; health economics; lung cancer; performance evaluation

BACKGROUND: Chest computed tomography (CT) is the main modality used to diagnose lung lesions caused by COVID-19 infection. Since 2020, the use of this modality in the Krasnoyarsk krai has increased. However, the incidence of lung cancer decreased by 5.2%. The current situation has raised concerns a...