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This study aims to assess the feasibility of an AI-based system for diabetes screening in rural Ethiopia.

March 1, 2026Open Access

AI-Diagnosis in Rural Ethiopia: Feasibility Study of an AI-Based Diabetes Screening System

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This study aims to assess the feasibility of an AI-based system for diabetes screening in rural Ethiopia.
Random selection of participants from three rural villages
AI model trained on demographic data, lifestyle habits, and blood glucose levels
Assessment of model accuracy and precision
AI model achieved an accuracy rate of 82% in identifying diabetic patients
Standard deviation of accuracy reported as ±5%
Findings suggest promising efficacy but highlight the need for further validation and refinement

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Feasibility study reveals promising AI-based diabetes detection in rural areas, indicating potential healthcare improvements.

Tessema et al. (2005) studied this question.

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