Artificial intelligence applied to achalasia: an emerging frontier in precision motility care? State of the art and future prospects
Future research should focus on prospective validation, multicenter data collection, and multimodal integration of clinical, physiologic, and imaging data. With targeted development and ethical governance, AI has the potential to enhance diagnostic precision, support personalized treatment strategies, and advance precision motility care in patients with achalasia.
Authors
- Gennaro Quarto (ORCID: https://orcid.org/0000-0001-5699-150X)
- Armando Calogero (ORCID: https://orcid.org/0000-0003-2315-0610)
- Michele Santangelo (ORCID: https://orcid.org/0000-0003-3046-9988)
- Domenico Parmeggiani (ORCID: https://orcid.org/0000-0003-1926-5562)
- Giacomo Benassai (ORCID: https://orcid.org/0000-0002-1450-4248)
- Annunziata Gaetana Cicatiello (ORCID: https://orcid.org/0000-0002-6008-7086)
- Agostino Fernicola (ORCID: https://orcid.org/0000-0002-3122-5531)
- Alessio Cece
- Felice Crocetto
- Murtaja Satea Shafeea
Institutions
- Federico II University Hospital (IT)
- University of Campania "Luigi Vanvitelli" (IT)
- University of Kerbala (IQ)
- University of Naples Federico II (IT)
Publication Details
- Journal
- Journal of Basic and Clinical Physiology and Pharmacology
- Published
- 2025-12-25
- DOI
- https://doi.org/10.1515/jbcpp-2025-0184
- Primary Topic
- Gastroesophageal reflux and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00