A deep learning-based approach to enhance accuracy and feasibility of long-term high-resolution manometry examinations
Our findings demonstrate that deep learning-based approaches to analyze LTHRM examinations are capable of providing a more reliable and efficient diagnostic process, ultimately making LTHRM assessments more feasible in clinical care.
Authors
- Dirk Wilhelm (ORCID: https://orcid.org/0000-0002-2972-9802)
- Alissa Jell (ORCID: https://orcid.org/0000-0002-7153-3803)
- L Wagner (ORCID: https://orcid.org/0000-0002-3021-4152)
- Alexander Geiger (ORCID: https://orcid.org/0009-0003-6910-5820)
- Daniel Rueckert
Institutions
- Imperial College London (GB)
- Technical University of Munich (DE)
Publication Details
- Journal
- Communications Medicine
- Published
- 2025-12-02
- DOI
- https://doi.org/10.1038/s43856-025-01255-1
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00