Barrett esophagus: What to expect from Artificial Intelligence?
- The evaluation and assessment of Barrett’s esophagus is challenging for both expert and nonexpert endoscopists. However, the early diagnosis of cancer in Barrett’s esophagus is crucial for its prognosis, and could save costs. Pre-clinical and clinical studies on the application of Artificial Intelligence (AI) in Barrett’s esophagus have shown promising results. In this review, we focus on the current challenges and future perspectives of implementing AI systems in the management of patients with Barrett’s esophagus.
| Author: | Alanna EbigboORCiD, Christoph PalmORCiDGND, Helmut Messmann |
|---|---|
| DOI: | https://doi.org/10.1016/j.bpg.2021.101726 |
| ISSN: | 1521-6918 |
| Parent Title (English): | Best Practice & Research Clinical Gastroenterology |
| Publisher: | Elsevier |
| Document Type: | Article |
| Language: | English |
| Year of first Publication: | 2021 |
| Release Date: | 2021/03/10 |
| Tag: | Adenocarcinoma; Artificial intelligence; Barrett; Convolutional neural networks; Deep learning |
| GND Keyword: | Deep Learning; Künstliche Intelligenz; Computerunterstützte Medizin |
| Volume: | 52-53 |
| Issue: | June-August |
| Article Number: | 101726 |
| Institutes: | Fakultät Informatik und Mathematik |
| Regensburg Center of Biomedical Engineering - RCBE | |
| Regensburg Center of Health Sciences and Technology - RCHST | |
| Fakultät Informatik und Mathematik / Regensburg Medical Image Computing (ReMIC) | |
| Begutachtungsstatus: | peer-reviewed |
| research focus: | Lebenswissenschaften und Ethik |
| Licence (German): |
