Novel automated non-invasive detection of ocular surface squamous neoplasia using artificial intelligence

Table 3 Various advantages of artificial intelligence-based evaluation of severity in ocular surface squamous neoplasia

Advantages of AI-based evaluation of severity in OSSN
It provides an objective and standardized assessment, reducing interobserver variability that may be present in traditional evaluation methods AI algorithms can analyze large amounts of data rapidly and consistently, ensuring accurate and reproducible severity evaluation
Additionally, AI can incorporate multi-modal data, including imaging findings from techniques such as OCT, confocal microscopy, or histopathological characteristics
This integration of diverse data sources enhances the accuracy and reliability of severity evaluation, enabling clinicians to make informed decisions regarding treatment planning and prognostication
Overall, AI-driven evaluation of severity in OSSN holds promise in improving patient outcomes by facilitating appropriate and tailored management strategies based on the individual characteristics of each case

AI: Artificial intelligence; OCT: Optical coherence tomography; OSSN: Ocular surface squamous neoplasia.