Opinion paper: artificial intelligence as a clinical ally in lung cancer detection—the case for Gleamer’s ChestView
Frontiers in Oncology
Abstract
This opinion article discusses the role of artificial intelligence as a clinical decision-support tool in the detection of lung cancer on chest X-ray, using Gleamer’s ChestView as a representative example. The authors highlight the challenges of lung cancer detection on conventional radiography, including subtle findings and variability in reader performance. They outline how AI-based decision support can assist radiologists by improving sensitivity, supporting diagnostic confidence, and optimizing workflow efficiency. The paper emphasizes that, when appropriately integrated into clinical practice, AI solutions such as ChestView have the potential to enhance early lung cancer detection while preserving the radiologist’s central role in clinical decision-making.
