Recent Advances in Iridology based Disease Detection: A Comprehensive Review
Alaa Abdulkareem Ahmed, Mohammad Tariq Yaseen · Al-Iraqia Journal of Scientific Engineering Research · 2025
The increasing demand for non-invasive, rapid, and cost-effective disease diagnostics has driven advancements in integrating Iridology with computer vision and Artificial Intelligence (AI). This review examines research conducted from 2009 to 2024 on iris-based disease detection. The key findings showed the significant role of Machine Learning (ML) and Deep Learning (DL) in enhancing diagnostic accuracy and efficiency. Iridology-based intelligent systems show great promise for early detection of hidden diseases and organ dysfunctions, offering transformative potential for healthcare.