Health Imaging March 7, 2025
When it comes to predicting an individual’s risk of developing lung cancer, artificial intelligence models outperform standard risk assessments, according to a new meta-analysis.
Published in the Journal of the American College of Radiology, the new paper compares the utility of AI-enabled predictions and traditional regression models for identifying individuals who are most at risk of being diagnosed with lung cancer.
Low dose CT lung screenings significantly increase the likelihood that cancer is identified early, which inevitably results in improved outcomes. However, the screening is not necessary for all patients, even if they have a history of smoking. Lung cancer screening referrals are based on a number of factors, including how much an individual has smoked, age, medical...
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