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For: van Netten JJ, Clark D, Lazzarini PA, Janda M, Reed LF. The validity and reliability of remote diabetic foot ulcer assessment using mobile phone images. Sci Rep 2017;7:9480. [PMID: 28842686 DOI: 10.1038/s41598-017-09828-4] [Cited by in Crossref: 34] [Cited by in F6Publishing: 36] [Article Influence: 5.7] [Reference Citation Analysis]
Number Citing Articles
1 Maita KC, Palmieri-serrano L, Avila FR, Torres-guzman RA, Garcia JP, S. eldaly A, Haider CR, Felton CL, Paulson MR, Maniaci MJ, Forte AJ. Imaging evaluated remotely through telemedicine as a reliable alternative for accurate diagnosis: a systematic review. Health Technol 2023. [DOI: 10.1007/s12553-023-00745-3] [Reference Citation Analysis]
2 Ploderer B, Clark D, Brown R, Harman J, Lazzarini PA, Van Netten JJ. Self-Monitoring Diabetes-Related Foot Ulcers with the MyFootCare App: A Mixed Methods Study. Sensors (Basel) 2023;23. [PMID: 36904750 DOI: 10.3390/s23052547] [Reference Citation Analysis]
3 Parise AC, Coria HE, López V, Santini Araujo MG. Pie diabético y pandemia de la COVID-19: adaptación al uso de la Telemedicina por los especialistas de pie y tobillo de los Servicios de Traumatología de la Argentina. Rev Asoc Arg Ort y Traumatol 2023;88:45-52. [DOI: 10.15417/issn.1852-7434.2023.88.1.1623] [Reference Citation Analysis]
4 Pappachan JM, Cassidy B, Fernandez CJ, Chandrabalan V, Yap MH. The role of artificial intelligence technology in the care of diabetic foot ulcers: the past, the present, and the future. World J Diabetes 2022; 13(12): 1131-1139 [DOI: 10.4239/wjd.v13.i12.1131] [Cited by in CrossRef: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 Tekale S, Varma A, Tekale S, Kumbhare U. A Review on Newer Interventions for the Prevention of Diabetic Foot Disease. Cureus 2022. [DOI: 10.7759/cureus.30591] [Reference Citation Analysis]
6 Kaselimi M, Protopapadakis E, Doulamis A, Doulamis N. A review of non-invasive sensors and artificial intelligence models for diabetic foot monitoring. Front Physiol 2022;13:924546. [DOI: 10.3389/fphys.2022.924546] [Reference Citation Analysis]
7 Lien AS, Lai C, Wei J, Yang H, Yeh J, Tai H. A Granulation Tissue Detection Model to Track Chronic Wound Healing in DM Foot Ulcers. Electronics 2022;11:2617. [DOI: 10.3390/electronics11162617] [Reference Citation Analysis]
8 Kamaratos-Sevdalis N, Kamaratos A, Papadakis M, Tsagkaris C. Telehealth has comparable outcomes to in-person diabetic foot care during the COVID-19 pandemic. World J Methodol 2022; 12(4): 285-292 [DOI: 10.5662/wjm.v12.i4.285] [Cited by in CrossRef: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Liu Z, John J, Agu E. Diabetic Foot Ulcer Ischemia and Infection Classification using EfficientNet Deep Learning Models. IEEE Open J Eng Med Biol 2022. [DOI: 10.1109/ojemb.2022.3219725] [Reference Citation Analysis]
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11 Goyal M, Reeves ND, Rajbhandari S, Yap MH. Computerised Methods for Monitoring Diabetic Foot Ulcers on Plantar Foot: A Feasibility Study. Medical Image Understanding and Analysis 2022. [DOI: 10.1007/978-3-031-12053-4_15] [Reference Citation Analysis]
12 Lucas Y, Niri R, Treuillet S, Douzi H, Castaneda B. Wound Size Imaging: Ready for Smart Assessment and Monitoring. Adv Wound Care (New Rochelle) 2021;10:641-61. [PMID: 32320356 DOI: 10.1089/wound.2018.0937] [Cited by in Crossref: 10] [Cited by in F6Publishing: 12] [Article Influence: 5.0] [Reference Citation Analysis]
13 Monroy B, Bacca J, Sanchez K, Arguello H, Castillo S. Two-step Deep Learning Framework for Chronic Wounds Detection and Segmentation: A Case Study in Colombia. 2021 XXIII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) 2021. [DOI: 10.1109/stsiva53688.2021.9592008] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
14 Lazzarini PA, Jarl G. Knee-High Devices Are Gold in Closing the Foot Ulcer Gap: A Review of Offloading Treatments to Heal Diabetic Foot Ulcers. Medicina (Kaunas) 2021;57:941. [PMID: 34577864 DOI: 10.3390/medicina57090941] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
15 Kaile K, Fernandez C, Godavarty A. Development of a Smartphone-Based Optical Device to Measure Hemoglobin Concentration Changes for Remote Monitoring of Wounds. Biosensors (Basel) 2021;11:165. [PMID: 34063972 DOI: 10.3390/bios11060165] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
16 Drovandi A, Wong S, Seng L, Crowley B, Alahakoon C, Banwait J, Fernando ME, Golledge J. Remotely Delivered Monitoring and Management of Diabetes-Related Foot Disease: An Overview of Systematic Reviews. J Diabetes Sci Technol 2023;17:59-69. [PMID: 34008448 DOI: 10.1177/19322968211012456] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
17 Lin DS, Lee JK. Mobile Health-Based Thermometer for Monitoring Wound Healing After Endovascular Therapy in Patients With Chronic Foot Ulcer: Prospective Cohort Study. JMIR Mhealth Uhealth 2021;9:e26468. [PMID: 33960955 DOI: 10.2196/26468] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
18 Rastogi A, Hiteshi P, Bhansali A A, Jude EB. Virtual triage and outcomes of diabetic foot complications during Covid-19 pandemic: A retro-prospective, observational cohort study. PLoS One 2021;16:e0251143. [PMID: 33956847 DOI: 10.1371/journal.pone.0251143] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 4.5] [Reference Citation Analysis]
19 Najafi B, Mishra R. Harnessing Digital Health Technologies to Remotely Manage Diabetic Foot Syndrome: A Narrative Review. Medicina (Kaunas) 2021;57:377. [PMID: 33919683 DOI: 10.3390/medicina57040377] [Cited by in Crossref: 11] [Cited by in F6Publishing: 14] [Article Influence: 5.5] [Reference Citation Analysis]
20 Kuang B, Pena G, Szpak Z, Edwards S, Battersby R, Cowled P, Dawson J, Fitridge R. Assessment of a smartphone-based application for diabetic foot ulcer measurement. Wound Repair Regen 2021;29:460-5. [PMID: 33657252 DOI: 10.1111/wrr.12905] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
21 Kaile K, Mahadevan J, Leiva K, Khandavilli D, Narayanan S, Muthukrishnan V, Wu W, Mohan V, Godavarty A. Tissue Oxygenation Measurements to Aid Scalpel Debridement Removal in Patients with Diabetes. J Diabetes Sci Technol 2021;:1932296821992050. [PMID: 33615851 DOI: 10.1177/1932296821992050] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
22 Alahakoon C, Fernando M, Galappaththy C, Lazzarini P, Moxon JV, Jones R, Golledge J. Repeatability, Completion Time, and Predictive Ability of Four Diabetes-Related Foot Ulcer Classification Systems. J Diabetes Sci Technol 2023;17:35-41. [PMID: 33451251 DOI: 10.1177/1932296820986548] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
23 Lin DS, Lee J. Mobile Health–Based Thermometer for Monitoring Wound Healing After Endovascular Therapy in Patients With Chronic Foot Ulcer: Prospective Cohort Study (Preprint).. [DOI: 10.2196/preprints.26468] [Reference Citation Analysis]
24 Lasschuit JWJ, Featherston J, Tonks KTT. Reliability of a Three-Dimensional Wound Camera and Correlation With Routine Ruler Measurement in Diabetes-Related Foot Ulceration. J Diabetes Sci Technol 2020;:1932296820974654. [PMID: 33243005 DOI: 10.1177/1932296820974654] [Reference Citation Analysis]
25 Kavitha KV, Deshpande SR, Pandit AP, Unnikrishnan AG. Application of tele-podiatry in diabetic foot management: A series of illustrative cases. Diabetes Metab Syndr 2020;14:1991-5. [PMID: 33080541 DOI: 10.1016/j.dsx.2020.10.009] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 2.3] [Reference Citation Analysis]
26 Rodrigues da Silva AF, De Carvalho Neto FJ, Rosa Guimarães M, Alves Bernardes R, Reges Brito VR, Vilarouca da Silva AR. Tecnologia móvel no cuidado com os pés em pessoas com diabetes mellitus: Revisão Integrativa. Cienc Cuid Saúde 2020;19. [DOI: 10.4025/ciencuidsaude.v19i0.50361] [Reference Citation Analysis]
27 Rodrigues da Silva AF, De Carvalho Neto FJ, Rosa Guimarães M, Alves Bernardes R, Reges Brito VR, Vilarouca da Silva AR. <b> Tecnologia móvel no cuidado com os pés em pessoas com diabetes mellitus: Revisão Integrativa / Mobile technology to promotefoot management among people with diabetes mellitus: An Integrative Review <b>. Cienc Cuid Saúde 2020;19. [DOI: 10.4025/cienccuidsaude.v19i0.50361] [Reference Citation Analysis]
28 Naomi R, Fauzi MB. Cellulose/Collagen Dressings for Diabetic Foot Ulcer: A Review. Pharmaceutics 2020;12:E881. [PMID: 32957476 DOI: 10.3390/pharmaceutics12090881] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 4.3] [Reference Citation Analysis]
29 Bondini CM, Sage S, Wilson BP, Hall MR, Wallis EAR. Modified telehealth for care of chronic wounds during the Coronavirus disease 2019 pandemic: A rapid literature review of alternative care modalities. Int Wound J 2020;17:1960-7. [PMID: 32902172 DOI: 10.1111/iwj.13488] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 1.3] [Reference Citation Analysis]
30 Chan KS, Lo ZJ. Wound assessment, imaging and monitoring systems in diabetic foot ulcers: A systematic review. Int Wound J 2020;17:1909-23. [PMID: 32830440 DOI: 10.1111/iwj.13481] [Cited by in Crossref: 12] [Cited by in F6Publishing: 14] [Article Influence: 4.0] [Reference Citation Analysis]
31 Golledge J, Fernando M, Lazzarini P, Najafi B, G Armstrong D. The Potential Role of Sensors, Wearables and Telehealth in the Remote Management of Diabetes-Related Foot Disease. Sensors (Basel). 2020;20. [PMID: 32823514 DOI: 10.3390/s20164527] [Cited by in Crossref: 21] [Cited by in F6Publishing: 22] [Article Influence: 7.0] [Reference Citation Analysis]
32 Jaly I, Iyengar K, Bahl S, Hughes T, Vaishya R. Redefining diabetic foot disease management service during COVID-19 pandemic. Diabetes Metab Syndr 2020;14:833-8. [PMID: 32540738 DOI: 10.1016/j.dsx.2020.06.023] [Cited by in Crossref: 46] [Cited by in F6Publishing: 33] [Article Influence: 15.3] [Reference Citation Analysis]
33 Goyal M, Reeves ND, Rajbhandari S, Ahmad N, Wang C, Yap MH. Recognition of ischaemia and infection in diabetic foot ulcers: Dataset and techniques. Comput Biol Med 2020;117:103616. [PMID: 32072964 DOI: 10.1016/j.compbiomed.2020.103616] [Cited by in Crossref: 48] [Cited by in F6Publishing: 51] [Article Influence: 16.0] [Reference Citation Analysis]
34 Hazenberg CEVB, Aan de Stegge WB, Van Baal SG, Moll FL, Bus SA. Telehealth and telemedicine applications for the diabetic foot: A systematic review. Diabetes Metab Res Rev 2020;36:e3247. [PMID: 31808288 DOI: 10.1002/dmrr.3247] [Cited by in Crossref: 24] [Cited by in F6Publishing: 29] [Article Influence: 6.0] [Reference Citation Analysis]
35 Zhao Y, Li Z, Song S, Yang K, Liu H, Yang Z, Wang J, Yang B, Lin Q. Skin‐Inspired Antibacterial Conductive Hydrogels for Epidermal Sensors and Diabetic Foot Wound Dressings. Adv Funct Mater 2019;29:1901474. [DOI: 10.1002/adfm.201901474] [Cited by in Crossref: 229] [Cited by in F6Publishing: 234] [Article Influence: 57.3] [Reference Citation Analysis]
36 van Doremalen RFM, van Netten JJ, van Baal JG, Vollenbroek-Hutten MMR, van der Heijden F. Validation of low-cost smartphone-based thermal camera for diabetic foot assessment. Diabetes Res Clin Pract 2019;149:132-9. [PMID: 30738090 DOI: 10.1016/j.diabres.2019.01.032] [Cited by in Crossref: 40] [Cited by in F6Publishing: 45] [Article Influence: 10.0] [Reference Citation Analysis]
37 Lee JK, Hung CS, Huang CC, Chen YH, Chuang PY, Yu JY, Ho YL. Use of the CHA2DS2-VASc Score for Risk Stratification of Hospital Admissions Among Patients With Cardiovascular Diseases Receiving a Fourth-Generation Synchronous Telehealth Program: Retrospective Cohort Study. J Med Internet Res 2019;21:e12790. [PMID: 30702437 DOI: 10.2196/12790] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
38 Lee J, Hung C, Huang C, Chen Y, Chuang P, Yu J, Ho Y. Use of the CHA2DS2-VASc Score for Risk Stratification of Hospital Admissions Among Patients With Cardiovascular Diseases Receiving a Fourth-Generation Synchronous Telehealth Program: Retrospective Cohort Study (Preprint).. [DOI: 10.2196/preprints.12790] [Reference Citation Analysis]
39 Ploderer B, Brown R, Seng LSD, Lazzarini PA, van Netten JJ. Promoting Self-Care of Diabetic Foot Ulcers Through a Mobile Phone App: User-Centered Design and Evaluation. JMIR Diabetes 2018;3:e10105. [PMID: 30305266 DOI: 10.2196/10105] [Cited by in Crossref: 28] [Cited by in F6Publishing: 34] [Article Influence: 5.6] [Reference Citation Analysis]
40 Ploderer B, Brown R, Seng LSD, Lazzarini P, van Netten J. Promoting Self-Care of Diabetic Foot Ulcers through a Mobile Application: A User-Centred Design and Evaluation (Preprint).. [DOI: 10.2196/preprints.10105] [Reference Citation Analysis]