{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T16:26:18Z","timestamp":1790785578411,"version":"4.1.0"},"reference-count":25,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2023,11,3]],"date-time":"2023-11-03T00:00:00Z","timestamp":1698969600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Neurourology and Urodynamics"],"published-print":{"date-parts":[[2024,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>A \u201cThink Tank\u201d at the International Consultation on Incontinence\u2010Research Society\u00a0meeting held in Bristol, United Kingdom in June 2023 considered the progress and promise of machine learning (ML) applied to urodynamic data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Examples of the use of ML applied to data from uroflowmetry, pressure flow studies\u00a0and imaging were presented. The advantages and limitations of ML were considered. Recommendations made during the subsequent debate for research studies were recorded.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>ML analysis holds great promise for the kind of data generated in urodynamic studies. To date, ML techniques have not yet achieved sufficient accuracy for routine diagnostic application. Potential approaches that can improve the use of ML were agreed and research questions were proposed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>ML\u00a0is well suited to the analysis of urodynamic data, but results to date have not achieved clinical utility. It is considered likely that further research can improve the analysis of the large, multifactorial data sets generated by urodynamic clinics, and improve to some extent data pattern recognition that is currently subject to observer error and artefactual noise.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/nau.25319","type":"journal-article","created":{"date-parts":[[2023,11,3]],"date-time":"2023-11-03T07:20:07Z","timestamp":1698996007000},"page":"1337-1343","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Can we use machine learning to improve the interpretation and application of urodynamic data?: ICI\u2010RS 2023"],"prefix":"10.1002","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5546-357X","authenticated-orcid":false,"given":"Andrew","family":"Gammie","sequence":"first","affiliation":[{"name":"Bristol Urological Institute Southmead Hospital Bristol UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1224-9423","authenticated-orcid":false,"given":"Salvador","family":"Arlandis","sequence":"additional","affiliation":[{"name":"Urology Department Hospital Universitario y Polit\u00e9cnico La Fe Valencia Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4021-6669","authenticated-orcid":false,"given":"Bruna M.","family":"Couri","sequence":"additional","affiliation":[{"name":"Laborie Medical Technologies Portsmouth New Hampshire USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2181-8202","authenticated-orcid":false,"given":"Michael","family":"Drinnan","sequence":"additional","affiliation":[{"name":"Newcastle upon Tyne Hospitals NHS Foundation Trust Newcastle Upon Tyne UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2374-848X","authenticated-orcid":false,"given":"D.","family":"Carolina Ochoa","sequence":"additional","affiliation":[{"name":"Bristol Urological Institute Southmead Hospital Bristol UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9123-5352","authenticated-orcid":false,"given":"Angie","family":"Rantell","sequence":"additional","affiliation":[{"name":"Urogynaecology Department King's College Hospital London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8625-464X","authenticated-orcid":false,"given":"Mathijs","family":"de Rijk","sequence":"additional","affiliation":[{"name":"Department of Urology Maastricht University Maastricht The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4401-3500","authenticated-orcid":false,"given":"Thomas","family":"van Steenbergen","sequence":"additional","affiliation":[{"name":"University Medical Center Utrecht Utrecht The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4743-9283","authenticated-orcid":false,"given":"Margot","family":"Damaser","sequence":"additional","affiliation":[{"name":"The Cleveland Clinic Cleveland Ohio USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2023,11,3]]},"reference":[{"key":"e_1_2_7_2_1","unstructured":"World Ethical Data Foundation.https:\/\/openletter.worldethicaldata.org\/en\/openletter\/. 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