Artificial Intelligence in High-resolution Anorectal Manometry: Current Applications and Future Directions.
Artificial intelligence can now detect subtle patterns in bowel muscle function that traditional measurements miss, potentially improving diagnosis accuracy.
High-resolution anorectal manometry (HRAM) has improved anorectal physiological assessment but remains limited by conventional pressure-based metrics that incompletely reflect the complex spatiotemporal physiology of continence and defecation. Emerging deep-learning models have further demonstrated the potential to identify novel physiological patterns beyond traditional classification systems.
What the study was
- Study design
- Validation study
- Population
- Human participants
- Category
- Diagnostics
- Maturity
- Validated
- Journal
- Current gastroenterology reports
Why it surfaced
Conservative v1.3 triage: Validation study; score 8/10 from novelty 2, relevance 3, design quality 2, and population/unmet need 1.
A plain-language summary of published research — not medical advice. Talk to a clinician about your own care.