Using Machine Learning to Diagnose Chest Xrays and Interpret Patient Symptoms and Medical History

Abstract

Chest X-rays are the most frequently used medical imaging procedure and contain among the most significant and perilous diseases. Hospitals, especially those that are understaffed or have underqualified radiologists, would benefit greatly from an automated method of diagnosing these X-rays, which would drastically lower healthcare costs as well. This paper explores a combination of past, present, and future research that implements artificial intelligence towards this goal of automated diagnoses. Additionally, the importance of chest X-rays in light of COVID-19 is also analyzed. Keywords—Chest X-rays, radiology, artificial intelligence,