HIGHLIGHTS
- What: The authors sought to survey the landscape of externally validated DL-based computer-aided diagnostic (CADx) models and assess their diagnostic performance for predicting the risk of malignancy in computed tomography (CT)-detected pulmonary nodules. if they were peer-reviewed experimental or observational Articles comparing the diagnostic performance of externally validated DL-based CADx models with models widely used in clinical practice to predict the risk of malignancy.
- Who: Wahyu Wulaningsih from the The Royal Marsden, London, UK have published the Article: Deep Learning Models for Predicting Malignancy Risk in CT-Detected Pulmonary Nodules . . .
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