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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| Format: | Article |
| Language: | Russian |
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Gastro LLC
2022-03-01
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| Series: | Российский журнал гастроэнтерологии, гепатологии, колопроктологии |
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| Online Access: | https://www.gastro-j.ru/jour/article/view/550 |
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| _version_ | 1823860088078598144 |
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| author | S. M. Kurbatsky |
| author_facet | S. M. Kurbatsky |
| author_sort | S. M. Kurbatsky |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e0a750519c6b4b6e96c8ea4de8182360 |
| institution | Kabale University |
| issn | 1382-4376 2658-6673 |
| language | Russian |
| publishDate | 2022-03-01 |
| publisher | Gastro LLC |
| record_format | Article |
| series | Российский журнал гастроэнтерологии, гепатологии, колопроктологии |
| spelling | doaj-art-e0a750519c6b4b6e96c8ea4de81823602025-02-10T16:14:37ZrusGastro LLCРоссийский журнал гастроэнтерологии, гепатологии, колопроктологии1382-43762658-66732022-03-0131610310510.22416/1382-4376-2021-31-6-103-105450Does Gastroenterology Need Artificial Intelligence?S. M. Kurbatsky0Solnechnyy Veter LLCAim. 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.https://www.gastro-j.ru/jour/article/view/550diagnostic algorithmartificial intelligenceclinical decision support system |
| spellingShingle | S. M. Kurbatsky Does Gastroenterology Need Artificial Intelligence? Российский журнал гастроэнтерологии, гепатологии, колопроктологии diagnostic algorithm artificial intelligence clinical decision support system |
| title | Does Gastroenterology Need Artificial Intelligence? |
| title_full | Does Gastroenterology Need Artificial Intelligence? |
| title_fullStr | Does Gastroenterology Need Artificial Intelligence? |
| title_full_unstemmed | Does Gastroenterology Need Artificial Intelligence? |
| title_short | Does Gastroenterology Need Artificial Intelligence? |
| title_sort | does gastroenterology need artificial intelligence |
| topic | diagnostic algorithm artificial intelligence clinical decision support system |
| url | https://www.gastro-j.ru/jour/article/view/550 |
| work_keys_str_mv | AT smkurbatsky doesgastroenterologyneedartificialintelligence |