Frugal AI is the missing piece in cervical cancer screening
A Nature Medicine commentary argues automated visual evaluation (AVE) research has yet to yield robust clinical tools for cervical cancer screening in low-resource settings. It calls for frugal approaches — efficient multimodal models, explainable outputs, local calibration, and validation in real-world screening workflows.
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