Artificial Intelligence in endoscopy : A future poll
Copyright © 2023 Pan-Arab Association of Gastroenterology. Published by Elsevier B.V. All rights reserved..
Artificial Intelligence [AI] has been a trendy topic in recent years, with many developed medical applications. In gastrointestinal endoscopy, AI systems include computer-assisted detection [CADe] for lesion detection as bleedings and polyps and computer-assisted diagnosis [CADx] for optical biopsy and lesion characterization. The technology behind these systems is based on a computer algorithm that is trained for a specific function. This function could be to recognize or characterize target lesions such as colonic polyps. Moreover, AI systems can offer technical assistance to improve endoscopic performance as scope insertion guidance. Currently, we believe that such technologies still lack legal and regulatory validations as a large sector of doctors and patients have concerns. However, there is no doubt that these technologies will bring significant improvement in the endoscopic management of patients as well as save money and time.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:25 |
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| Enthalten in: |
Arab journal of gastroenterology : the official publication of the Pan-Arab Association of Gastroenterology - 25(2024), 1 vom: 01. Feb., Seite 13-17 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Elshaarawy, Omar [VerfasserIn] |
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| Links: |
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| Themen: |
Artificial Intelligence |
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| Anmerkungen: |
Date Completed 26.02.2024 Date Revised 26.02.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.ajg.2023.11.008 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM367110245 |
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| 520 | |a Copyright © 2023 Pan-Arab Association of Gastroenterology. Published by Elsevier B.V. All rights reserved. | ||
| 520 | |a Artificial Intelligence [AI] has been a trendy topic in recent years, with many developed medical applications. In gastrointestinal endoscopy, AI systems include computer-assisted detection [CADe] for lesion detection as bleedings and polyps and computer-assisted diagnosis [CADx] for optical biopsy and lesion characterization. The technology behind these systems is based on a computer algorithm that is trained for a specific function. This function could be to recognize or characterize target lesions such as colonic polyps. Moreover, AI systems can offer technical assistance to improve endoscopic performance as scope insertion guidance. Currently, we believe that such technologies still lack legal and regulatory validations as a large sector of doctors and patients have concerns. However, there is no doubt that these technologies will bring significant improvement in the endoscopic management of patients as well as save money and time | ||
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