Early detection of corneal ectasia is essential for identifying patients at risk of disease progression and for patient selection to prevent postoperative ectasia following refractive surgery. Detecting the earliest structural changes remains challenging because conventional topographic and tomographic parameters may appear normal before clinical signs develop. Recent advances in anterior segment imaging and artificial intelligence have enabled the development of new diagnostic indices that combine multiple corneal parameters to improve early ectasia detection.