ArticleClinical and translational gastroenterology2019
Noninvasive Diagnosis of Irritable Bowel Syndrome via Bowel Sound Features: Proof of Concept.
Article in Clinical and translational gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 39 citations in OpenAlex.
- An acoustic-only multivariable diagnostic model for Parkinson's disease using bowel sound acoustic signatures.Journal of Parkinson's disease · 2026Article
- Rumble Recognition: a gastrointestinal sound discrimination task to measure gastrointestinal interoception.Scientific reports · 2026Article
- Clinical Applications and Mathematical Models of Bowel Sounds.Biomedicines · 2026Review
- Artificial intelligence and digital transformation of gastroenterology and hepatology: A critical review of clinical applications and future challenges.World journal of hepatology · 2026Review
- Bowel sound in predicting the severity of acute pancreatitis: Protocol of a prospective, multi-center study.PloS one · 2026Observational
- Explainable ResNet-long short-term memory model for the classification of bowel sounds frequency based on multifeature fusion.The Journal of international medical research · 2025Article
- Dynamic brain-heart-gut coupling during sleep: a continuous physiological signal analysis.Frontiers in neuroscience · 2025Article
- Automated inflammatory bowel disease detection using wearable bowel sound event spotting.Frontiers in digital health · 2025Article
- Toward Wearables for Bruxism Detection: Voluntary Oral Behaviors Sound Recorded Across the Head Depend on Transducer Placement.Clinical and experimental dental research · 2024Article
- Prediction method of human defecation based on informer audio data augmentation and improved residual network.Heliyon · 2024Article
- Article
- Stimulus-Response Plots as a Novel Bowel-Sound-Based Method for Evaluating Motor Response to Drinking in Healthy People.Sensors (Basel, Switzerland) · 2024Article
- [Snoring noise removal method for bowel sound signal during sleep].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024Article
- Differences in intestinal motility during different sleep stages based on long-term bowel sounds.Biomedical engineering online · 2023Article
- The Potential Use of Artificial Intelligence in Irritable Bowel Syndrome Management.Diagnostics (Basel, Switzerland) · 2023Review
- Practicing Digital Gastroenterology through Phonoenterography Leveraging Artificial Intelligence: Future Perspectives Using Microwave Systems.Sensors (Basel, Switzerland) · 2023Review
- Review
- Body Acoustics for the Non-Invasive Diagnosis of Medical Conditions.Bioengineering (Basel, Switzerland) · 2022Review
- Development of a bowel sound detector adapted to demonstrate the effect of food intake.Biomedical engineering online · 2022Article
- Automated Bowel Sound Analysis: An Overview.Sensors (Basel, Switzerland) · 2021Review
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionIrritable bowel syndrome (IBS) is a common and debilitating disorder estimated to affect approximately 11% of the world's population. Typically, IBS is a diagnosis of exclusion after patients undergo a costly and invasive colonoscopy to exclude organic disease. Clinician's and researchers have identified a need for a new cost-effective, accurate, and noninvasive diagnostic test for IBS.
methodsUsing a diagnostic case-control study, we explored the use of bowel sounds to characterize IBS with a view to diagnostic use. We recruited participants with an existing clinical diagnosis of IBS or healthy (asymptomatic) digestive systems. We recorded bowel sounds for 2 hours after fasting and then for 40 minutes after a standard meal.
resultsWe here report our results including our accuracy in characterizing IBS-related bowel sounds and differentiation between participants with IBS and healthy participants. Leave-one-out cross-validation of our model developed using the first 31 IBS and 37 healthy participants gave 90% sensitivity and 92% specificity for IBS diagnosis. Independent testing using the next 15 IBS and 15 healthy participants demonstrated 87% sensitivity and 87% specificity for IBS diagnosis.
conclusionsThese preliminary results provide proof of concept for the use of bowel sound analysis to identify IBS. A prospective study is needed to confirm these findings. TRANSLATIONAL IMPACT: Our belt and model offer hope of a new approach for IBS diagnosis in primary practice. Combined with screening tests for organic disease, it would offer greater confidence to patients and could reduce the burden of unnecessary colonoscopies for health care systems and patients.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.