Does Gastroenterology Need Artificial Intelligence?
Aim. An outlook of trends and perspectives in gastroenterology in the age of digital healthcare.Key points. Diagnosis gradually transforms to the task of image recognition. Tuning a diagnostic algorithm (DA) necessarily requires a statistically representative training set of images. In transition to...
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| Main Author: | |
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| Format: | Article |
| Language: | Russian |
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Gastro LLC
2022-03-01
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| Series: | Российский журнал гастроэнтерологии, гепатологии, колопроктологии |
| Subjects: | |
| Online Access: | https://www.gastro-j.ru/jour/article/view/550 |
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| Summary: | Aim. An outlook of trends and perspectives in gastroenterology in the age of digital healthcare.Key points. Diagnosis gradually transforms to the task of image recognition. Tuning a diagnostic algorithm (DA) necessarily requires a statistically representative training set of images. In transition towards electronic medical records (EMR), such data will be generated automatically. Advances in machine image recognition and the upcoming availability of a large amount of medical data suitable for configuring DA both pave the way towards efficient computerassisted diagnosis.Conclusion. The growing volumes of medical data enforce, and advances in machine image recognition enable, the transition towards computer-assisted medical diagnosis. |
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| ISSN: | 1382-4376 2658-6673 |