Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists - Rajpurkar, Pranav; Irvin, Jeremy; Ball, Robyn L.; Zhu, Kaylie; Yang, Brandon; Mehta, Hershel; Duan, Tony; Ding, Daisy; Bagul, Aarti; Langlotz, Curtis P.; Patel, Bhavik N.; Yeom, Kristen W.; et al. (PLoS medicine, 2018)
Keywords: Algorithms; Analysis; Artificial neural networks; Atelectasis; Authorship; Chest; Chest x-rays; Clinical Competence; Comparative analysis; Computer and Information Sciences; Computer science; Data mining; Datasets; Decision making; Deep Learning; Diabetic retinopathy; Diagnosis, Computer-Assisted - methods; Effusion; Emphysema; Hernia; Hiatal hernia; Humans; Learning; Lung cancer; Lung diseases; Lung nodules; Machine learning; Medical errors; Medical imaging; Medical imaging equipment; Medicine and Health Sciences; Methods; Network architectures; Neural networks; Ng, Matthew; Nodules; Patients; People and Places; Physical Sciences; Pleural effusion; Pneumonia; Pneumonia - diagnostic imaging; Practice; Predictive Value of Tests; Radiographic Image Interpretation, Computer-Assisted - methods; Radiography; Radiography, Thoracic - methods; Radiologists; Radiology; Reproducibility of Results; Research and Analysis Methods; Retrospective Studies; Software; Statistical analysis; Supervision; Systematic review; Thorax; Tuberculosis; Visualization; United States--US; California