Comparative Evaluation of Digital and Analog Chest Radiographs to Identify Tuberculosis using Deep Learning Model

no code implementations • 27 Jul 2023 • Subhankar Chattoraj, Bhargava Reddy, Manoj Tadepalli, Preetham Putha

At an optimal threshold, the difference in the AUC of three cellular smartphones with the original DICOMs is 0. 024 (2. 55%), 0. 048 (5. 10%), and 0. 038 (1. 91%).

Specificity

Can Artificial Intelligence Reliably Report Chest X-Rays?: Radiologist Validation of an Algorithm trained on 2.3 Million X-Rays

no code implementations • 19 Jul 2018 • Preetham Putha, Manoj Tadepalli, Bhargava Reddy, Tarun Raj, Justy Antony Chiramal, Shalini Govil, Namita Sinha, Manjunath KS, Sundeep Reddivari, Ammar Jagirdar, Pooja Rao, Prashant Warier

Methods: A deep learning system was trained on 2. 3 million chest X-rays and their corresponding radiology reports to identify various abnormalities seen on a Chest X-ray.