Zogala D. Artificial intelligence in medical imaging
Authors:
David Zogala
Authors‘ workplace:
Ústav nukleární medicíny 1. LF UK a VFN v Praze
Published in:
Čas. Lék. čes. 2023; 162: 279-282
Category:
Review Article
Overview
The current era witnesses a highly dynamic development of Artificial Intelligence (AI) applications, impacting various human activities. Medical imaging techniques are no exception. AI can find application in image acquisition, image processing and augmentation, as well as in the actual interpretation of images. Moreover, within the domain of radiomics, AI can be instrumental in advanced analysis surpassing the capacities of the human eye and experience. While several certified commercial solutions are available, the validation and accumulation of sufficient evidence regarding their positive impact on healthcare is currently constrained.
The role of AI presently leans towards being assistive, yet further evolution is anticipated. Risks and disadvantages encompass dependency on computational power, the quality of input data, and their annotation for learning purposes. The transparency of algorithmic functioning is lacking, and issues pertaining to portability may arise. The integration and utilization of AI introduce entirely new ethical and legislative aspects.
Predicting the future development of AI in imaging methods is challenging, with a further increase in implementation appearing more probable.
Keywords:
artificial intelligence (AI) in medicine, imaging methods, radiomics, ethical and legislative aspects, future development of AI
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Addictology Allergology and clinical immunology Angiology Audiology Clinical biochemistry Dermatology & STDs Paediatric gastroenterology Paediatric surgery Paediatric cardiology Paediatric neurology Paediatric ENT Paediatric psychiatry Paediatric rheumatology Diabetology Pharmacy Vascular surgery Pain managementArticle was published in
Journal of Czech Physicians
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