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

Background: Chest X-rays are the most commonly performed, cost-effective diagnostic imaging tests ordered by physicians. A clinically validated AI system that can reliably separate normals from abnormals can be invaluble particularly in low-resource settings. The aim of this study was to develop and...

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Hauptverfasser:	Putha, Preetham, Tadepalli, Manoj, Reddy, Bhargava, Raj, Tarun, Chiramal, Justy Antony, Govil, Shalini, Sinha, Namita, KS, Manjunath, Reddivari, Sundeep, Jagirdar, Ammar, Rao, Pooja, Warier, Prashant
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
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