AID-FGS: Artificial intelligence-enabled diagnosis of female genital schistosomiasis: Preliminary findings.
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| Title: | AID-FGS: Artificial intelligence-enabled diagnosis of female genital schistosomiasis: Preliminary findings. |
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| Authors: | Sharma A; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, United States of America., Dam T; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, United States of America., Mwangelwa S; Center for Family Health Research Zambia, Ndola, Zambia., Kabengele C; Center for Family Health Research Zambia, Lusaka, Zambia., Kilembe W; Center for Family Health Research Zambia, Lusaka, Zambia., Vwalika B; Center for Family Health Research Zambia, Lusaka, Zambia.; School of Medicine, University of Zambia, Lusaka, Zambia., Inambao M; Center for Family Health Research Zambia, Ndola, Zambia., Secor WE; Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America., Parker R; Rwanda Zambia HIV Research Group, Department of Pathology and Laboratory Medicine, School of Medicine and Hubert Department of Global Health, Rollins School of Public Health, Laney Graduate School, Emory University, Atlanta, Georgia, United States of America., Skarkey T; Rwanda Zambia HIV Research Group, Department of Pathology and Laboratory Medicine, School of Medicine and Hubert Department of Global Health, Rollins School of Public Health, Laney Graduate School, Emory University, Atlanta, Georgia, United States of America.; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America., Allen S; Rwanda Zambia HIV Research Group, Department of Pathology and Laboratory Medicine, School of Medicine and Hubert Department of Global Health, Rollins School of Public Health, Laney Graduate School, Emory University, Atlanta, Georgia, United States of America.; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America., Madabhushi A; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, United States of America., Wall KM; Rwanda Zambia HIV Research Group, Department of Pathology and Laboratory Medicine, School of Medicine and Hubert Department of Global Health, Rollins School of Public Health, Laney Graduate School, Emory University, Atlanta, Georgia, United States of America.; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America. |
| Source: | PLOS digital health [PLOS Digit Health] 2026 Feb 20; Vol. 5 (2), pp. e0001255. Date of Electronic Publication: 2026 Feb 20 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: PLOS Country of Publication: United States NLM ID: 9918335064206676 Publication Model: eCollection Cited Medium: Internet ISSN: 2767-3170 (Electronic) Linking ISSN: 27673170 NLM ISO Abbreviation: PLOS Digit Health Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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