Why the study?
Many patients remain undiagnosed due to barriers in screening underserved populations with expensive or invasive diagnostic platforms, prompting evaluation of smartphone-based AI technologies for community screening.
Design
Review
Authors
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May support expanded screening in under-resourced settings; leaves open bias mitigation and external validation before adoption.
Smartphone-based AI screening by frontline health workers could increase early disease detection in under-resourced communities, provided algorithmic bias and generalizability challenges are addressed.
Mantena et al. (2021) studied this question.
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