Application of Artificial Intelligence in Celiac Disease: from diagnosis to patient follow-up

نویسندگان
Mahmoudi Ghehsareh, Mohadeseh ID 1
Asri, Nastaran ID 2
Maleki, Sepehr ID 3
Rezaei-Tavirani, Mostafa ID 4
Jahani-Sherafat, Somayeh ID 5
Rostami-Nejad, Mohammad ID 6

1 Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran

2 Celiac Disease and Gluten Related Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran

3 Department of Computer Science, University of Tabriz, Tabriz, Iran

4 Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran

5 Laser Application in Medical Sciences Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran

6 Celiac Disease and Gluten Related Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran

doi
10.61186/ijbc.15.3.125
چکیده

Celiac disease (CD) is an autoimmune digestive condition that is distinguished by inflammation of the small intestine as a result of gluten ingestion. Its worldwide prevalence is approximately 1%. Despite progress in understanding CD, challenges in pathogenesis, diagnosis, treatment, and management persist. Genetic and environmental factors, such as HLA and non-HLA ...

کلیدواژه‌ها
Artificial intelligence, Celiac disease, Machine learning, Deep learning, Diagnosis