An interventional study of A smartphone app for anemia screening in Anemia, sponsored by Sun Yat-sen University. Status unknown at 1 site in China. Open to participants aged 3 Years to 87 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2022-08-08.
Sponsored by Sun Yat-sen University · Not applicable, Interventional, and Diagnostic
The current standard for anemia screening, complete blood count, presents invasiveness, infrastructure requirements and high costs, leading to serious underestimation of anemia prevalence and insufficient care for anemia patients. Here, the investigators established and validated an artificial intelligence system to achieve automatic detection of anemia based on patient-sourced images of fingernails and conjunctivae. This system has been integrated into a smartphone app to be further validated through hospital-based and population-based clinical trials.
1,733 studies on the registry are indexed under Anemia; 246 are open to participants now.
This study's planned enrollment of 1,000 is above the median of 94 across 1,291 interventional studies indexed under Anemia.
Browse Anemia studies →Sun Yat-sen University is the lead sponsor of 1,644 studies on the registry; 602 are open to participants now.
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Device: A smartphone app for anemia screening This app can achieve automatic detection of anemia based on patient-sourced images of fingernails and conjunctivae.
Device: A smartphone app for anemia screening
This app can achieve automatic detection of anemia based on patient-sourced images of fingernails and conjunctivae.
The proportion of accurate, mistaken and missed detection of this smartphone app.
Time frame: 27 months
This study is status unknown, as verified in Aug 2022. You cannot join it, but the record below documents what was studied.
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Sun Yat-sen University