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For: Lundin J, Dumont G. Medical mobile technologies - what is needed for a sustainable and scalable implementation on a global scale? Glob Health Action 2017;10:1344046. [PMID: 28838308 DOI: 10.1080/16549716.2017.1344046] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 1.8] [Reference Citation Analysis]
Number Citing Articles
1 Laflamme L. Image-based mHealth for remote diagnostic assistance a means to promote equity in quality care. Glob Health Action 2017;10:1344004. [PMID: 28838307 DOI: 10.1080/16549716.2017.1344004] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.8] [Reference Citation Analysis]
2 Zhang J, Tüshaus L, Nuño Martínez N, Moreo M, Verastegui H, Hartinger SM, Mäusezahl D, Karlen W. Data Integrity-Based Methodology and Checklist for Identifying Implementation Risks of Physiological Sensing in Mobile Health Projects: Quantitative and Qualitative Analysis. JMIR Mhealth Uhealth 2018;6:e11896. [PMID: 30552079 DOI: 10.2196/11896] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
3 Högqvist Tabor V, Högqvist Tabor M, Keestra S, Parrot JE, Alvergne A. Improving the Quality of Life of Patients with an Underactive Thyroid Through mHealth: A Patient-Centered Approach. Womens Health Rep (New Rochelle) 2021;2:182-94. [PMID: 34235505 DOI: 10.1089/whr.2021.0010] [Reference Citation Analysis]
4 Turner HC, Hao NV, Yacoub S, Hoang VMT, Clifton DA, Thwaites GE, Dondorp AM, Thwaites CL, Chau NVV. Achieving affordable critical care in low-income and middle-income countries. BMJ Glob Health 2019;4:e001675. [PMID: 31297248 DOI: 10.1136/bmjgh-2019-001675] [Cited by in Crossref: 26] [Cited by in F6Publishing: 20] [Article Influence: 8.7] [Reference Citation Analysis]
5 Pang S, Wang S, Rodríguez-Patón A, Li P, Wang X. An artificial intelligent diagnostic system on mobile Android terminals for cholelithiasis by lightweight convolutional neural network. PLoS One 2019;14:e0221720. [PMID: 31513631 DOI: 10.1371/journal.pone.0221720] [Cited by in Crossref: 10] [Cited by in F6Publishing: 2] [Article Influence: 3.3] [Reference Citation Analysis]
6 Vaisman A, Linder N, Lundin J, Orchanian-Cheff A, Coulibaly JT, Ephraim RK, Bogoch II. Artificial intelligence, diagnostic imaging and neglected tropical diseases: ethical implications. Bull World Health Organ 2020;98:288-9. [PMID: 32284655 DOI: 10.2471/BLT.19.237560] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
7 Laflamme L, Chipps J, Fangerau H, Juth N, Légaré F, Sawe HR, Wallis L. Targeting ethical considerations tied to image-based mobile health diagnostic support specific to clinicians in low-resource settings: the Brocher proposition. Glob Health Action 2019;12:1666695. [PMID: 31532350 DOI: 10.1080/16549716.2019.1666695] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 2.5] [Reference Citation Analysis]