AI Model Uses Chest X-Rays to Predict Lung Cancer Risk in Nonsmokers
Are you a nonsmoker and worried about your lung cancer risk? New advances in artificial intelligence may provide a solution. A groundbreaking AI model is taking the medical world by storm by using routine chest x-ray images to identify nonsmokers who may be at high risk for lung cancer, as presented at the Radiological Society of North American (RSNA) 2023 Scientific Assembly and Annual Meeting.
The American Cancer Society estimated that there will be 238,340 new diagnoses and 127,070 deaths from lung cancer in 2023. Shockingly, 10% to 20% of lung cancer cases occur in never-smokers. But with the rise in lung cancer among nonsmokers, the need for early detection is more important than ever.
The groundbreaking AI model, known as CXR-Lung-Risk, can predict lung-related mortality risk based on a single chest x-ray image with over 28% of high-risk patients later receiving a lung cancer diagnosis. The high-risk group was found to have a 2.1 times greater risk of developing lung cancer compared with the low-risk group.
With a single chest x-ray image, patients who have never smoked may finally have the opportunity for early lung cancer detection. This innovative approach could revolutionize the way we predict lung cancer risk among nonsmokers. Excitingly, as cigarette smoking rates decline, this new AI model will become increasingly vital in detecting lung cancer in those who do not smoke.
What are your thoughts on this revolutionary AI model? Do you believe it will be a game-changer for lung cancer detection? Let us know in the comments!
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