See Lung Cancer with an AI
Second Department of Radiology, Medical University of Gdansk, 80-210 Gdańsk, Poland
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Author to whom correspondence should be addressed.
Cancers 2023, 15(4), 1321; https://doi.org/10.3390/cancers15041321
Submission received: 20 January 2023
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Revised: 13 February 2023
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Accepted: 17 February 2023
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Published: 19 February 2023
(This article belongs to the Special Issue Application of Advanced Biomedical Imaging in Cancer Treatment)
Simple Summary
Lung cancer is the cause of many deaths that could have been avoided if the disease had been detected at an early stage. This is possible thanks to the lung cancer screening (LCS) program with the low-dose computed tomography (LDCT) of the chest. Due to the heavy workload on the healthcare system, shortages of specialists, and expensive equipment, new solutions are needed to support the work of the hospitals. One of the most promising is the use of artificial intelligence (AI). In this paper, we present promising results and discuss whether/why AI application in medicine, with an emphasis on lung cancer, is needed. It is speculated that thanks to an innovative AI solution many lives could be saved.
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.
