The Potential Use of Artificial Intelligence in Irritable Bowel Syndrome Management
Irritable bowel syndrome (IBS) has a global prevalence of around 4.1% and is associated with a low quality of life and increased healthcare costs. Current guidelines recommend that IBS is diagnosed using the symptom-based Rome IV criteria. Despite this, when patients seek medical attention, they are...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/13/21/3336 |
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| author | Radu Alexandru Vulpoi Mihaela Luca Adrian Ciobanu Andrei Olteanu Oana Bărboi Diana-Elena Iov Loredana Nichita Irina Ciortescu Cristina Cijevschi Prelipcean Gabriela Ștefănescu Cătălina Mihai Vasile Liviu Drug |
| author_facet | Radu Alexandru Vulpoi Mihaela Luca Adrian Ciobanu Andrei Olteanu Oana Bărboi Diana-Elena Iov Loredana Nichita Irina Ciortescu Cristina Cijevschi Prelipcean Gabriela Ștefănescu Cătălina Mihai Vasile Liviu Drug |
| author_sort | Radu Alexandru Vulpoi |
| collection | DOAJ |
| description | Irritable bowel syndrome (IBS) has a global prevalence of around 4.1% and is associated with a low quality of life and increased healthcare costs. Current guidelines recommend that IBS is diagnosed using the symptom-based Rome IV criteria. Despite this, when patients seek medical attention, they are usually over-investigated. This issue might be resolved by novel technologies in medicine, such as the use of Artificial Intelligence (AI). In this context, this paper aims to review AI applications in IBS. AI in colonoscopy proved to be useful in organic lesion detection and diagnosis and in objectively assessing the quality of the procedure. Only a recently published study talked about the potential of AI-colonoscopy in IBS. AI was also used to study biofilm characteristics in the large bowel and establish a potential relationship with IBS. Moreover, an AI algorithm was developed in order to correlate specific bowel sounds with IBS. In addition to that, AI-based smartphone applications have been developed to facilitate the monitoring of IBS symptoms. From a therapeutic standpoint, an AI system was created to recommend specific diets based on an individual’s microbiota. In conclusion, future IBS diagnosis and treatment may benefit from AI. |
| first_indexed | 2024-03-11T11:32:05Z |
| format | Article |
| id | doaj.art-da72f60d6e5d4c01b54366f63a8f9a54 |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-11T11:32:05Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-da72f60d6e5d4c01b54366f63a8f9a542023-11-10T15:01:01ZengMDPI AGDiagnostics2075-44182023-10-011321333610.3390/diagnostics13213336The Potential Use of Artificial Intelligence in Irritable Bowel Syndrome ManagementRadu Alexandru Vulpoi0Mihaela Luca1Adrian Ciobanu2Andrei Olteanu3Oana Bărboi4Diana-Elena Iov5Loredana Nichita6Irina Ciortescu7Cristina Cijevschi Prelipcean8Gabriela Ștefănescu9Cătălina Mihai10Vasile Liviu Drug11Faculty of Medicine, Department of Internal Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700111 Iasi, RomaniaInstitute of Computer Science, Romanian Academy-Iasi Branch, 700481 Iasi, RomaniaInstitute of Computer Science, Romanian Academy-Iasi Branch, 700481 Iasi, RomaniaFaculty of Medicine, Department of Internal Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700111 Iasi, RomaniaFaculty of Medicine, Department of Internal Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700111 Iasi, RomaniaFaculty of Medicine, Department of Internal Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700111 Iasi, RomaniaFaculty of Medicine, Department of Internal Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700111 Iasi, RomaniaFaculty of Medicine, Department of Internal Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700111 Iasi, RomaniaFaculty of Medicine, Department of Internal Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700111 Iasi, RomaniaFaculty of Medicine, Department of Internal Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700111 Iasi, RomaniaFaculty of Medicine, Department of Internal Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700111 Iasi, RomaniaFaculty of Medicine, Department of Internal Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700111 Iasi, RomaniaIrritable bowel syndrome (IBS) has a global prevalence of around 4.1% and is associated with a low quality of life and increased healthcare costs. Current guidelines recommend that IBS is diagnosed using the symptom-based Rome IV criteria. Despite this, when patients seek medical attention, they are usually over-investigated. This issue might be resolved by novel technologies in medicine, such as the use of Artificial Intelligence (AI). In this context, this paper aims to review AI applications in IBS. AI in colonoscopy proved to be useful in organic lesion detection and diagnosis and in objectively assessing the quality of the procedure. Only a recently published study talked about the potential of AI-colonoscopy in IBS. AI was also used to study biofilm characteristics in the large bowel and establish a potential relationship with IBS. Moreover, an AI algorithm was developed in order to correlate specific bowel sounds with IBS. In addition to that, AI-based smartphone applications have been developed to facilitate the monitoring of IBS symptoms. From a therapeutic standpoint, an AI system was created to recommend specific diets based on an individual’s microbiota. In conclusion, future IBS diagnosis and treatment may benefit from AI.https://www.mdpi.com/2075-4418/13/21/3336irritable bowel syndromeartificial intelligencediagnosticdeep learning |
| spellingShingle | Radu Alexandru Vulpoi Mihaela Luca Adrian Ciobanu Andrei Olteanu Oana Bărboi Diana-Elena Iov Loredana Nichita Irina Ciortescu Cristina Cijevschi Prelipcean Gabriela Ștefănescu Cătălina Mihai Vasile Liviu Drug The Potential Use of Artificial Intelligence in Irritable Bowel Syndrome Management Diagnostics irritable bowel syndrome artificial intelligence diagnostic deep learning |
| title | The Potential Use of Artificial Intelligence in Irritable Bowel Syndrome Management |
| title_full | The Potential Use of Artificial Intelligence in Irritable Bowel Syndrome Management |
| title_fullStr | The Potential Use of Artificial Intelligence in Irritable Bowel Syndrome Management |
| title_full_unstemmed | The Potential Use of Artificial Intelligence in Irritable Bowel Syndrome Management |
| title_short | The Potential Use of Artificial Intelligence in Irritable Bowel Syndrome Management |
| title_sort | potential use of artificial intelligence in irritable bowel syndrome management |
| topic | irritable bowel syndrome artificial intelligence diagnostic deep learning |
| url | https://www.mdpi.com/2075-4418/13/21/3336 |
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