The Potential Use of Artificial Intelligence in Irritable Bowel Syndrome Management

被引:7
作者
Vulpoi, Radu Alexandru [1 ,2 ]
Luca, Mihaela [3 ]
Ciobanu, Adrian [3 ]
Olteanu, Andrei [1 ,2 ]
Barboi, Oana [1 ,2 ]
Iov, Diana-Elena [1 ,2 ]
Nichita, Loredana [1 ,2 ]
Ciortescu, Irina [1 ,2 ]
Prelipcean, Cristina Cijevschi [1 ,2 ]
Stefanescu, Gabriela [1 ,2 ]
Mihai, Catalina [1 ,2 ]
Drug, Vasile Liviu [1 ,2 ]
机构
[1] Univ Med & Pharm Grigore T Popa, Fac Med, Dept Internal Med, Iasi 700115, Romania
[2] Emergency Clin Hosp St Spiridon, Inst Gastroenterol & Hepatol, Iasi 700111, Romania
[3] Romanian Acad, Iasi Branch, Inst Comp Sci, Iasi 700481, Romania
关键词
irritable bowel syndrome; artificial intelligence; diagnostic; deep learning;
D O I
10.3390/diagnostics13213336
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页数:11
相关论文
共 42 条
[1]   Mucosal Biofilms Are an Endoscopic Feature of Irritable Bowel Syndrome and Ulcerative Colitis [J].
Baumgartner, Maximilian ;
Lang, Michaela ;
Holley, Hunter ;
Crepaz, Daniel ;
Hausmann, Bela ;
Pjevac, Petra ;
Moser, Doris ;
Haller, Felix ;
Hof, Fabian ;
Beer, Andrea ;
Orgler, Elisabeth ;
Frick, Adrian ;
Khare, Vineeta ;
Evstatiev, Rayko ;
Strohmaier, Susanne ;
Primas, Christian ;
Dolak, Werner ;
Koecher, Thomas ;
Klavins, Kristaps ;
Rath, Timo ;
Neurath, Markus F. ;
Berry, David ;
Makristathis, Athanasios ;
Muttenthaler, Markus ;
Gasche, Christoph .
GASTROENTEROLOGY, 2021, 161 (04) :1245-+
[2]  
Buchanan BG., 1984, RULE BASED EXPERT SY
[3]   Review article: the economic impact of the irritable bowel syndrome [J].
Canavan, C. ;
West, J. ;
Card, T. .
ALIMENTARY PHARMACOLOGY & THERAPEUTICS, 2014, 40 (09) :1023-1034
[4]   Experimental Deep Learning Object Detection in Real-time Colonoscopies [J].
Ciobanu, Adrian ;
Luca, Mihaela ;
Barbu, Tudor ;
Drug, Vasile ;
Olteanu, Andrei ;
Vulpoi, Radu .
2021 INTERNATIONAL CONFERENCE ON E-HEALTH AND BIOENGINEERING (EHB 2021), 9TH EDITION, 2021,
[5]   Computerized auscultation applied to irritable bowel syndrome [J].
Craine, BL ;
Silpa, M ;
O'Toole, CJ .
DIGESTIVE DISEASES AND SCIENCES, 1999, 44 (09) :1887-1892
[6]   Depicting the composition of gut microbiota in a population with varied ethnic origins but shared geography [J].
Deschasaux, Melanie ;
Bouter, Kristien E. ;
Prodan, Andrei ;
Levin, Evgeni ;
Groen, Albert K. ;
Herrema, Hilde ;
Tremaroli, Valentina ;
Bakker, Guido J. ;
Attaye, Ilias ;
Pinto-Sietsma, Sara-Joan ;
van Raalte, Daniel H. ;
Snijder, Marieke B. ;
Nicolaou, Mary ;
Peters, Ron ;
Zwinderman, Aeilko H. ;
Backhed, Fredrik ;
Nieuwdorp, Max .
NATURE MEDICINE, 2018, 24 (10) :1526-+
[7]   Noninvasive Diagnosis of Irritable Bowel Syndrome via Bowel Sound Features: Proof of Concept [J].
Du, Xuhao ;
Allwood, Gary ;
Webberley, K. Mary ;
Inderjeeth, Andrisha-Jade ;
Osseiran, Adam ;
Marshall, Barryjames .
CLINICAL AND TRANSLATIONAL GASTROENTEROLOGY, 2019, 10
[8]   Bowel Sounds Identification and Migrating Motor Complex Detection with Low-Cost Piezoelectric Acoustic Sensing Device [J].
Du, Xuhao ;
Allwood, Gary ;
Webberley, Katherine Mary ;
Osseiran, Adam ;
Marshall, Barry J. .
SENSORS, 2018, 18 (12)
[9]   Irritable bowel syndrome [J].
Enck, Paul ;
Aziz, Qasim ;
Barbara, Giovanni ;
Farmer, Adam D. ;
Fukudo, Shin ;
Mayer, Emeran A. ;
Niesler, Beate ;
Quigley, Eamonn M. M. ;
Rajilic-Stojanovic, Mirjana ;
Schemann, Michael ;
Schwille-Kiuntke, Juliane ;
Simren, Magnus ;
Zipfel, Stephan ;
Spiller, Robin C. .
NATURE REVIEWS DISEASE PRIMERS, 2016, 2 :1-24
[10]  
Flacco ME, 2019, EUR REV MED PHARMACO, V23, P2986, DOI 10.26355/eurrev_201904_17580