Own Experience in the Use of Artificial Intelligence Technologies in the Diagnosis of Esophageal Achalasia
Aim: to demonstrate an artificial intelligence model that optimises the differential diagnosis of achalasia.Material and methods. The study included 75 patients: 52 % men (mean age 44.5 ± 17.8 years) and 48 % women (mean age 45.6 ± 16.6 years,) with a preliminary diagnosis of achalasia. Patients wer...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | Russian |
| Published: |
Gastro LLC
2024-12-01
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| Series: | Российский журнал гастроэнтерологии, гепатологии, колопроктологии |
| Subjects: | |
| Online Access: | https://www.gastro-j.ru/jour/article/view/1164 |
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