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

Table 4 Various advantages of integrated artificial intelligence in ocular surface squamous neoplasia

Advantages of integrated AI in OSSN
AI algorithms would analyze large volumes of data with speed and accuracy, surpassing human capabilities in terms of processing efficiency
This capability would allow for rapid and efficient screening, diagnosis, and evaluation of OSSN lesions, saving valuable time and resources for healthcare professionals
AI models would progressively learn from vast datasets, enabling them to identify increasingly complex patterns and subtle features that may be challenging for human observers to detect
This ability would offer enhanced diagnostic accuracy and aid in early detection, potentially improving patient outcomes and prognosis
AI would provide a standardized and objective assessment, reducing interobserver variability and ensuring consistent and reliable evaluations of severity, classification, and staging
By leveraging AI technology, clinicians would benefit from enhanced decision support, optimized treatment planning, and personalized management strategies for OSSN patients

AI: Artificial intelligence; OSSN: Ocular surface squamous neoplasia.