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Artificial Intelligence in Capsule Endoscopy: A Practical Guide to Its Past and Future Challenges
- Source :
- Diagnostics, Vol 11, Iss 1722, p 1722 (2021), Diagnostics
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Artificial intelligence (AI) has revolutionized the medical diagnostic process of various diseases. Since the manual reading of capsule endoscopy videos is a time-intensive, error-prone process, computerized algorithms have been introduced to automate this process. Over the past decade, the evolution of convolutional neural network (CNN) enabled AI to detect multiple lesions simultaneously with increasing accuracy and sensitivity. Difficulty in validating CNN performance and unique characteristics of capsule endoscopy images make computer-aided reading systems in capsule endoscopy still on a preclinical level. Although AI technology can be used as an auxiliary second observer in capsule endoscopy, it is expected that in the near future, it will effectively reduce the reading time and ultimately become an independent, integrated reading system.
- Subjects :
- wireless capsule endoscopy
Medical diagnostic
Medicine (General)
Process (engineering)
Computer science
business.industry
media_common.quotation_subject
Clinical Biochemistry
convolutional neural network
Review
artificial intelligence
Convolutional neural network
small bowel imaging
law.invention
computer-aided reading
R5-920
Capsule endoscopy
law
Reading (process)
Artificial intelligence
business
media_common
Subjects
Details
- Language :
- English
- ISSN :
- 20754418
- Volume :
- 11
- Issue :
- 1722
- Database :
- OpenAIRE
- Journal :
- Diagnostics
- Accession number :
- edsair.doi.dedup.....d43d79bf417188b5dd5cd3c890105e5a