The Journal of thoracic and cardiovascular surgery
The most recent articles from:
J. Thorac. Cardiovasc. Surg.
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J. Thorac. Cardiovasc. Surg. · Apr 2022
Predicting benign, preinvasive, and invasive lung nodules on computed tomography scans using machine learning.
The study objective was to investigate if machine learning algorithms can predict whether a lung nodule is benign, adenocarcinoma, or its preinvasive subtype from computed tomography images alone. ⋯ The machine learning algorithms demonstrated reasonable performance in differentiating benign versus preinvasive versus invasive adenocarcinoma from computed tomography images alone. However, the prediction accuracy varies across its subtypes. This holds the potential for improved diagnostic capabilities with less-invasive means.