Abstract: Currently, there are various intraocular lens (IOL) power calculation formulas available in clinical practice, but there is still room for improvement in their prediction accuracy, especially in cases of extreme axial lengths and complex ocular conditions. To enhance the accuracy of IOL power calculations, IOL power calculation formulas based on artificial intelligence (AI) have been developed and hold great promise. This article summarizes the newly developed AI-based IOL power calculation formulas in recent years, including pure data-driven IOL power calculation formulas (Hill RBF formula, Karmana formula, Nallasamy formula, etc.), optical theory combined with AI IOL power calculation formulas (Kane formula, PEARL-DGS formula, LISA-PPV formula, etc.), and other formulas (Hoffer QST formula, Ladas formula, Zhu Lu formula, etc.). These formulas demonstrate higher prediction accuracy when dealing with extreme eye axis and complex eye conditions, aiming to provide clinicians with more options and further improve the prediction accuracy of IOL power. (Int Rev Ophthalmol, 2025, 49:  95-100)

Key words: artificial intelligence, IOL, formula