See Lung Cancer with an AI
- PMID: 36831662
- PMCID: PMC9954317
- DOI: 10.3390/cancers15041321
See Lung Cancer with an AI
Abstract
A lot has happened in the field of lung cancer screening in recent months. The ongoing discussion and documentation published by the scientific community and policymakers are of great importance to the entire European community and perhaps beyond. Lung cancer is the main worldwide killer. Low-dose computed tomography-based screening, together with smoking cessation, is the only tool to fight lung cancer, as it has already been proven in the United States of America but also European randomized controlled trials. Screening requires a lot of well-organized specialized work, but it can be supported by artificial intelligence (AI). Here we discuss whether and how to use AI for patients, radiologists, pulmonologists, thoracic surgeons, and all hospital staff supporting screening process benefits.
Keywords: artificial intelligence; diagnostics; lung cancer; lung cancer screening; precision; radiomics.
Conflict of interest statement
The authors declare no conflict of interest.
References
-
- European Lung White Book. [(accessed on 13 January 2023)]. Available online: https://www.erswhitebook.org/chapters/lung-cancer/
-
- Wilson J., Junger G. Principles and Practice of Screening for Disease. Geneva: World Health Organization. 1968. [(accessed on 10 December 2022)]. Available online: https://apps.who.int/iris/bitstream/handle/10665/37650/WHO_PHP_34.pdf?se....
-
- Strengthening Europe in the Fight against Cancer. Policy Department for Economic, Scientific and Quality of Life Policies Directorate-General for Internal Policies. Authors: Norbert COUESPEL et al. PE 642.388–2020. [(accessed on 10 December 2022)]. Available online: https://www.europarl.europa.eu/RegData/etudes/STUD/2020/642388/IPOL_STU(....
-
- Cancer Control: Prevention. WHO Guide for Effective Programmes. Geneva: World Health Organization. 2007. [(accessed on 10 December 2022)]. Available online: https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUK....
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