Study of the Use of AI (Artificial Intelligence) in the Field of Radiology and Imaging

Abstract

AI is used to automate medical image processing. These include image normalization, image quality improvement, and noise reduction, all of which can improve visualization of anatomical structures and lesions. AI is used to detect lesions or pathological changes in medical images, such as tumors, blood clots, or malformations. This can help doctors in early diagnosis and more effective treatment. AI can help in identifying and marking specific areas in medical images, such as organs, tumors, or blood vessels. The literature search process was carried out on various databases (PubMed, Web of Sciences, EMBASE, Cochrane Libraries, and Google Scholar) regarding the potential of AI in the field of radiology and imaging. This study follows the preferred reporting items for systematic reviews and meta-analysis (PRISMA) recommendations. In radiology and imaging, the use of artificial intelligence (AI) has had a significant and diverse impact. AI helps improve diagnostic capabilities by detecting and characterizing lesions, pathological changes, and anomalies in medical images, including tumors, blood clots, or malformations. AI automates tasks such as image normalization, quality improvement, noise reduction, and segmentation, allowing radiologists and physicians to work faster and obtain more accurate results.