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Of those who develop a DFU, a fifth will ultimately require amputation with a mortality rate of up to 70% within five years. The human suffering, economic burden, and disproportionate impact of diabetes on communities of color has led to increasing interest in the use of computer vision (CV) and machine learning (ML) techniques to aid the detection, characterization, monitoring, and even prediction of DFUs. Remote monitoring and automated classification are expected to revolutionize wound care by allowing patients to self-monitor their wound pathology, assist in the remote triaging of patients by clinicians, and allow for more immediate interventions when necessary. This scoping review provides an overview of applicable CV and ML techniques. This includes automated CV methods developed for remote assessment of wound photographs, as well as predictive ML algorithms that leverage heterogeneous data streams. We discuss the benefits of such applications and the role they may play in diabetic foot care moving forward. We highlight both the need for, and possibilities of, computational sensing systems to improve diabetic foot care and bring greater knowledge to patients in need.<\/jats:p>","DOI":"10.1177\/19322968231213378","type":"journal-article","created":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T01:06:42Z","timestamp":1699837602000},"page":"820-829","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":11,"title":["Intelligent Care Management for Diabetic Foot Ulcers: A Scoping Review of Computer Vision and Machine Learning Techniques and Applications"],"prefix":"10.1177","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-8507-438X","authenticated-orcid":false,"given":"Cynthia","family":"Baseman","sequence":"first","affiliation":[{"name":"School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8733-3160","authenticated-orcid":false,"given":"Maya","family":"Fayfman","sequence":"additional","affiliation":[{"name":"Grady Health System, Division of Endocrinology, Metabolism, and Lipids, Department of Medicine, School of Medicine, Emory University, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6165-7423","authenticated-orcid":false,"given":"Marcos C.","family":"Schechter","sequence":"additional","affiliation":[{"name":"Grady Health System, Division of Infectious Diseases, Department of Medicine, School of Medicine, Emory University, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sarah","family":"Ostadabbas","sequence":"additional","affiliation":[{"name":"Department of Electrical &amp; Computer Engineering, Northeastern University, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1046-0882","authenticated-orcid":false,"given":"Gabriel","family":"Santamarina","sequence":"additional","affiliation":[{"name":"Department of Medicine and Orthopaedics, School of Medicine, Emory University, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1243-7563","authenticated-orcid":false,"given":"Thomas","family":"Ploetz","sequence":"additional","affiliation":[{"name":"School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8642-7245","authenticated-orcid":false,"given":"Rosa I.","family":"Arriaga","sequence":"additional","affiliation":[{"name":"School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2023,11,12]]},"reference":[{"key":"e_1_3_2_2_2","unstructured":"About prediabetes and type 2 diabetes. https:\/\/www.cdc.gov\/diabetes\/prevention\/about-prediabetes.html"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1377\/hlthaff.2009.0474"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMra1615439"},{"key":"e_1_3_2_5_2","unstructured":"Minority health at HHS. https:\/\/minorityhealth.hhs.gov\/omh\/browse.aspx?lvl=4&lvlid=18"},{"issue":"13","key":"e_1_3_2_6_2","first-page":"1","article-title":"Deaths: final data for 2018","volume":"69","author":"Murphy SL","year":"2021","unstructured":"Murphy SL, Xu J, Kochanek KD, Arias E, Tejada-Vera B. 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