Artificial Intelligence in Ultrasound Medicine: Technological Innovations, Clinical Integration, and Ethical Challenges

Authors

  • Ibtisam Abdallah Fadulelmulla Department of Diagnostic Radiology, College of Applied Medical Sciences, University of Ha’il, Hail, Saudi Arabia.

DOI:

https://doi.org/10.63278/mme.vi.1719

Keywords:

AI, Ultrasound, Ethical Issues, 3D imaging, Health Care.

Abstract

The application of artificial intelligence (AI) algorithms in clinical practice faces a number of obstacles, despite the fact that AI has shown promise in improving ultrasound diagnosis. In order to highlight important factors for creating and deploying AI solutions in breast cancer imaging, this scoping review attempts to identify these obstacles and enablers. Six databases (PubMed, Web of Science, CINHAL, Embase, IEEE, and ArXiv) were searched for relevant material between 2014 and 2024. Articles that exclusively focused on performance or that used data that was not gathered in a clinical radiology context and did not involve actual patients were removed; instead, articles that described some of the challenges or facilitators in the development or implementation of AI in clinical imaging were included. This study underlines the value of patient-centered design, efficient governance, and interdisciplinary collaboration in guaranteeing that all demographic groups have equal access to innovative AI-enabled ultrasound technology that has been ethically manipulated.

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How to Cite

Fadulelmulla, Ibtisam Abdallah. 2025. “Artificial Intelligence in Ultrasound Medicine: Technological Innovations, Clinical Integration, and Ethical Challenges”. Metallurgical and Materials Engineering, May, 1402-9. https://doi.org/10.63278/mme.vi.1719.

Issue

Vol. 31 No. 5 (2025)

Section

Research

License

Copyright (c) 2025 Ibtisam Abdallah Fadulelmulla

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