Baskaran Sundaram

TL;DR: The goal of this process was to identify as completely as possible all lung nodules in each CT scan without requiring forced consensus and is expected to provide an essential medical imaging research resource to spur CAD development, validation, and dissemination in clinical practice.

TL;DR: Deep learning with DCNNs can accurately classify TB at chest radiography with an AUC of 0.99 and an independent board-certified cardiothoracic radiologist blindly interpreted the images to evaluate a potential radiologist-augmented workflow.

TL;DR: The data suggests the existence of a core pulmonary bacterial microbiome that includes Pseudomonas, Streptococcus, Prevotella, Fusobacterium, Haemophilus, Veillonella, and Porphyromonas within the same lung of subjects with advanced COPD.

TL;DR: This update clarifies that any sample with adequate cellularity and preservation may be tested and that analytical methods must be able to detect mutation in a sample with as little as 20% cancer cells and strongly recommends against evaluating epidermal growth factor receptor expression by immunohistochemistry for selection of patients for EGFR-targeted therapy.

TL;DR: In IPF, a five-point increase in CPI over 12 months predicts mortality similarly to relative declines of 10% in FVC or 15% in DL,CO, and for CPFE patients, change in FEV1 was the best predictor of mortality.