AI in Medical Imaging- Exploring the Concept of “Radiomicsâ€

Fatima Ali Afef Ali AlYafei
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Fatima Ali Afef Ali AlYafei: Radiography Specialist at Sheikh Shakhbout Medical City (SSMC), UAE

Biomedical Journal of Scientific & Technical Research, 2024, vol. 54, issue 3, 45958-45960

Abstract: The workload of diagnostic radiologists has increased due to the continued growth in imaging data. They must read images more quickly while keeping the same level of accuracy. Simultaneously, this has created the perfect foundation for Al to flourish in the field of medical imaging research. Researchers have used artificial intelligence (AI) to identify intricate patterns in imaging data and provide quantitative assessments of radiographic features. With this regard, Radiomics became one of the most well-known clinical imaging research topic. The following essay aims to provide a brief overview of artificial intelligence (AI) in medical imaging research, including its current role and the obstacles that must be overcome before Al can be widely adopted in clinical settings. Also, to dig deeper into the concept of the radiomics.

Keywords: Journals on Medical Drug and Therapeutics; Journals on Emergency Medicine; Physical Medicine and Rehabilitation; Journals on Infectious Diseases Addiction Science and Clinical Pathology; Open Access Clinical and Medical Journal; Journals on Biomedical Science; List of Open Access Medical Journal; Journals on Biomedical Engineering; Open Access Medical Journal; Biomedical Science Articles; Journal of Scientific and Technical Research (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:54:y:2023:i:3:p:45958-45960

DOI: 10.26717/BJSTR.2024.54.008557

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