Evaluating the Impact of Artificial Intelligence on Medical Physics: A Review

Abstract

Artificial Intelligence (AI) has proven to be a source of innovation in all aspects of technological, scientific, and medical advancement, Medical Physics is not excluded, driving advancements in medical imaging, treatment planning, diagnostics, and patient outcomes. . This study reviews the impact of AI on medical physics, with an analysis of recent developments and their clinical implications. A thorough search was conducted across multiple databases, including Google Scholar, PubMed, ResearchGate, and IEEE Xplore. The search was conducted using keywords related to AI and medical physics, including "artificial intelligence," "machine learning," "deep learning," "medical imaging," "treatment planning," "diagnostics," and "patient outcomes”. The search focused on studies published from 2016 to 2024 that examine the implementation and effectiveness of AI technologies. This review highlights AI's ability to transform medical physics, especially in the aspects of medical imaging, diagnosis, treatment planning, and patient outcomes, emphasizing the need for continued research and integration of AI technologies in clinical practice. The study suggests future research in the area of data privacy concerns and standardized protocols, to fully harness AI's benefits in medical physics.

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