International Journal of Medicine and Data

In the contemporary medical field, the swift advancement of Artificial Intelligence (AI) is significantly transforming the approach to diagnostic and therapeutic assistance in medical imaging. As medical data multiplies exponentially, traditional image analysis methods are no longer sufficient to meet clinical demands, particularly in the realms of early-stage disease diagnosis and personalized treatment. The incorporation of AI technologies, especially machine learning and deep learning, has enhanced the efficiency and precision of processing and interpreting medical images. By analyzing vast image datasets, AI not only aids radiologists in boosting diagnostic accuracy but also plays a crucial role in disease screening, prognostic evaluation, and monitoring of treatment responses. This paper aims to investigate the specific applications of AI in medical imaging, evaluate its potential in enhancing diagnostic and treatment efficiency, reducing healthcare costs, and improving patient outcomes, with the intention of providing fresh perspectives and methodologies for future medical practices.

Artificial Intelligence; Medical Imaging; Diagnostic and Therapeutic Assistance; Application Research