Volume 15, Issue 3 ( Special Issue (AI in Medicine) - August 2023 2023)                   Iranian Journal of Blood and Cancer 2023, 15(3): 125-137 | Back to browse issues page

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Mahmoudi Ghehsareh M, Asri N, Maleki S, Rezaei-Tavirani M, Jahani-Sherafat S, Rostami-Nejad M. Application of Artificial Intelligence in Celiac Disease: from diagnosis to patient follow-up. Iranian Journal of Blood and Cancer 2023; 15 (3) :125-137
URL: http://ijbc.ir/article-1-1476-en.html
Application of Artificial Intelligence in Celiac Disease: from diagnosis to patient follow-up
Mohadeseh Mahmoudi Ghehsareh1 , Nastaran Asri2 , Sepehr Maleki3 , Mostafa Rezaei-Tavirani4 , Somayeh Jahani-Sherafat5 , Mohammad Rostami-Nejad * 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 , m.rostamii@gmail.com
Abstract:   (409 Views)
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 genes, gluten, gut microbiota imbalance, and immune responses involving CD4+ T cells, influence CD. Diagnostic challenges arise due to diverse clinical presentations and overlap with other gastrointestinal disorders. Following a gluten-free diet (GFD) strictly is the primary treatment for CD, but this diet presents social, psychological, and financial hurdles. Artificial intelligence (AI) has emerged as a potent instrument in CD management. Techniques like machine learning (ML), deep learning (DL), natural language processing (NLP), and computer-aided algorithms have shown promise in CD diagnosis by improving microbiome analysis, disease prediction, interpretation of medical records and endoscopy images. AI-based decision-support systems can aid in diagnosis. AI-driven personalized nutrition and gluten contamination monitoring techniques offer potential improvements for treatment. Overall, AI has potential in addressing CD challenges and enhancing patient outcomes.
 
Keywords: Artificial intelligence, Celiac disease, Machine learning, Deep learning, Diagnosis
Full-Text [PDF 4242 kb]   (238 Downloads)    
: Review Article | Subject: AI in Medicine
Received: 2023/09/23 | Accepted: 2023/11/9 | Published: 2023/11/12
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