Low-Dose CT Lung Screening Gets Boost from AI
Excerpt from the Article:
It is possible to increase the specificity of low-dose CT (LDCT) lung cancer screening programs without chipping away at sensitivity – all it takes is folding artificial intelligence (AI) in with Lung-RADS.
That capability is based on the development of a lung nodule management system, created by investigators from the University of Saskatchewan. The team, led by Scott Adams, M.D., from the department of medical imaging, created a methodology that upgrades or downgrades a radiologist-determined Lung-RADS categorization by applying the AI-produced risk score.
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