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This article intends to assess how artificial intelligence (AI) affects the automation of X-ray radiography image processing. The field of medical imaging has seen considerable potential in the use of AI algorithms to improve diagnostic precision, streamline procedures, and streamline workflow. The paper explores how AI is currently being used to automate image processing for X-ray radiography, outlining its possible benefits, difficulties, and hopes for the future. According to the results, AI has the potential to revolutionize radiography by helping radiologists evaluate images, locate anomalies, and do quantitative analysis. This discovery may result in important improvements in healthcare. To determine the clinical value and safety of AI-driven solutions, it is necessary to carry out more research and validation. In conclusion, this analysis highlights AI’s critical role in automating image processing for X-ray radiography and demonstrates how it has the potential to completely transform the industry. To guarantee the dependability and efficacy of AI-based techniques in clinical practice, however, continual research and validation are crucial.
Kumar et al. (Sat,) studied this question.