The Role of Artificial Intelligence in Radiodiagnosis

Abstract

The integration of artificial intelligence (AI) into radio diagnosis is transforming the field by enhancing diagnostic accuracy, efficiency, and clinician workflow. AI-powered tools have demonstrated their potential to augment reader performance in interpreting chest radiographs, as evidenced by significant improvements in accuracy and time efficiency. Furthermore, AI-driven methodologies, such as deep learning algorithms, are being applied to detect complex pathologies, including COVID-19, fractures, and malignancies, with diagnostic accuracies rivalling or surpassing human radiologists. The implementation of AI in interventional radiology and radiotherapy planning has also introduced new opportunities for precision medicine, such as automated scoring and enhanced image quality for clinical decision-making. This chapter explores AI's role in radio diagnosis, highlighting its applications, benefits, and limitations. It addresses challenges like model generalizability, data bias. It also highlights the need for education and collaboration between radiologists and developers.

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