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Artificial Intelligence (AI) is being applied to address these challenges. This review aimed to comprehensively identify, appraise, and synthesize the spectrum of AI applications in GI motility diagnostics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A systematic search of PubMed, Embase, Scopus, Web of Science, and Medline for original studies was conducted in March 2025. Results were narratively synthesized and grouped by anatomic region.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Key Results<\/jats:title>\n                    <jats:p>\n                      Of 1383 articles, 90 primary studies met the inclusion criteria. In the esophagus (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200931), the primary focus was automation of High\u2010Resolution Esophageal Manometry (HREM), pH impedance, and Functional Luminal Imaging Probe (FLIP) panometry analysis. In the gastroduodenum (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200921), studies looked to improve diagnostic accuracy and interpretability of legacy electrogastrography (EGG). In the small and large intestine (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200919), AI was used to determine transit time and predict post\u2010operative ileus. In the anorectum (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20099), tools focused on standardizing manometry interpretation. Review of pan\u2010GI applications (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200910) highlighted AI's application to wireless capsule endoscopy and bowel sounds analysis. While promising, all areas need more rigorous research and external validation before widespread deployment.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions and Inferences<\/jats:title>\n                    <jats:p>AI will play an essential role in improving and automating the interpretation of GI motility diagnostics. However, even the most promising models require large\u2010scale prospective validation before clinical implementation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Trial Registration<\/jats:title>\n                    <jats:p>PROSPERO (ID: 1128662)<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/nmo.70310","type":"journal-article","created":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T04:19:04Z","timestamp":1775276344000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Artificial Intelligence in Gastrointestinal Motility Diagnostics: A Systematic Review"],"prefix":"10.1111","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-4413-9469","authenticated-orcid":false,"given":"Dylan","family":"Muggleston","sequence":"first","affiliation":[{"name":"Department of Surgery University of Auckland  Auckland New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5998-1080","authenticated-orcid":false,"given":"Greg","family":"O'Grady","sequence":"additional","affiliation":[{"name":"Department of Surgery University of Auckland  Auckland New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7369-8639","authenticated-orcid":false,"given":"Chris","family":"Varghese","sequence":"additional","affiliation":[{"name":"Department of Surgery University of Auckland  Auckland New Zealand"},{"name":"Department of Surgery, Mayo Clinic  Rochester Minnesota USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2869-4396","authenticated-orcid":false,"given":"Christopher","family":"Andrews","sequence":"additional","affiliation":[{"name":"Division of Gastroenterology University of Calgary  Calgary Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,4,3]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/s22145227"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1148\/rg.220052"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.14309\/ajg.0000000000001562"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1136\/gutjnl\u20102021\u2010326271"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.3748\/wjg.v27.i40.6794"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.3390\/s23042302"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.4293\/JSLS.2024.00007"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1111\/nmo.70038"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2024.108505"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11894\u2010024\u201000921\u2010z"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics13050960"},{"key":"e_1_2_9_13_1","unstructured":"\u201cPRISMA Statement. 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