{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T12:19:05Z","timestamp":1792757945237,"version":"4.5.0"},"reference-count":16,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2021,2,8]],"date-time":"2021-02-08T00:00:00Z","timestamp":1612742400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100006126","name":"Hospital for Sick Children","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006126","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["American J of Med Genetics Pt A"],"published-print":{"date-parts":[[2021,4]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Computer\u2010assisted pattern recognition platforms, such as Face2Gene\u00ae (F2G), can facilitate the diagnosis of children with rare genetic syndromes by comparing a patient's features to known genetic diagnoses. Our work designed, implemented, and evaluated an innovative model of care in clinical genetics in a heterogeneous and multicultural patient population that utilized this facial phenotyping software at the point\u2010of\u2010care. We assessed the performance of F2G by comparing the suggested diagnoses to the patient's confirmed molecular diagnosis. Providers' overall experiences with the technology and trainees' educational experiences were assessed with questionnaires. We achieved an overall diagnostic yield of 57%. This increased to 82% when cases diagnosed with syndromes not recognized by F2G were removed. The mean rank of a confirmed diagnosis in the top 10 was 2.3 (CI 1.5\u20133.2) and the mean gestalt score 37.6%. The most commonly suggested diagnoses were Noonan syndrome, mucopolysaccharidosis, and 22q11.2 deletion syndrome. Our qualitative assessment revealed that clinicians and trainees saw value using the tool in practice. Overall, this work helped to implement an innovative patient care delivery model in clinical genetics that utilizes a facial phenotyping tool at the point\u2010of\u2010care. Our data suggest that F2G has utility in the genetics clinic as a clinical decision support tool in diverse populations, with a majority of patients having their eventual diagnosis listed in the top 10 suggested syndromes based on a photograph alone. It shows promise for further integration into clinical care and medical education, and we advocate for its continued use, adoption and refinement along with transparent and accountable industrial partnerships.<\/jats:p>","DOI":"10.1002\/ajmg.a.62092","type":"journal-article","created":{"date-parts":[[2021,2,8]],"date-time":"2021-02-08T22:09:34Z","timestamp":1612822174000},"page":"1151-1158","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":44,"title":["<scp>The point\u2010of\u2010care<\/scp> use of a facial phenotyping tool in the genetics clinic: Enhancing diagnosis and education with machine learning"],"prefix":"10.1002","volume":"185","author":[{"given":"Ashish","family":"Marwaha","sequence":"first","affiliation":[{"name":"Division of Clinical and Metabolic Genetics, Department of Pediatrics The Hospital for Sick Children University of Toronto  Toronto Ontario Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1944-7294","authenticated-orcid":false,"given":"David","family":"Chitayat","sequence":"additional","affiliation":[{"name":"Division of Clinical and Metabolic Genetics, Department of Pediatrics The Hospital for Sick Children University of Toronto  Toronto Ontario Canada"},{"name":"The Prenatal Diagnosis and Medical Genetics Program, Department of Obstetrics and Gynecology Mount Sinai Hospital, University of Toronto  Toronto Ontario Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M. Stephen","family":"Meyn","sequence":"additional","affiliation":[{"name":"Division of Clinical and Metabolic Genetics, Department of Pediatrics The Hospital for Sick Children University of Toronto  Toronto Ontario Canada"},{"name":"Center for Human Genomics and Precision Medicine University of Wisconsin School of Medicine and Public Health  Madison Wisconsin USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roberto","family":"Mendoza\u2010Londono","sequence":"additional","affiliation":[{"name":"Division of Clinical and Metabolic Genetics, Department of Pediatrics The Hospital for Sick Children University of Toronto  Toronto Ontario Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0468-6663","authenticated-orcid":false,"given":"Lauren","family":"Chad","sequence":"additional","affiliation":[{"name":"Division of Clinical and Metabolic Genetics, Department of Pediatrics The Hospital for Sick Children University of Toronto  Toronto Ontario Canada"},{"name":"Department of Bioethics The Hospital for Sick Children, University of Toronto  Toronto Ontario Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2021,2,8]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/ajmg.a.61534"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/cge.12716"},{"key":"e_1_2_10_4_1","unstructured":"CADTH ENVIRONMENTAL SCAN.Drugs for Rare Diseases: Evolving Trends in Regulatory and Health Technology Assessment Perspectives. 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