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©The Author(s) 2024.
World J Methodol. Jun 20, 2024; 14(2): 92267
Published online Jun 20, 2024. doi: 10.5662/wjm.v14.i2.92267
Published online Jun 20, 2024. doi: 10.5662/wjm.v14.i2.92267
Advantages of automated screening by AI for OSSN |
It enables the screening process to be more efficient and objective, reducing the reliance on subjective human interpretation |
AI algorithms can analyze large volumes of images rapidly and consistently, aiding in the early identification of suspicious lesions that may otherwise be overlooked |
Automated screening can enhance access to care, particularly in areas where specialized ophthalmic expertise may be limited, through telemedicine and remote monitoring |
By providing a preliminary assessment of OSSN lesions, AI technology can support primary care providers and community healthcare workers in triaging patients and referring those in need of further evaluation to specialized centers |
AI-driven automated screening holds promise in improving the early detection and management of OSSN, ultimately leading to better patient outcomes |
- Citation: Sinha S, Ramesh PV, Nishant P, Morya AK, Prasad R. Novel automated non-invasive detection of ocular surface squamous neoplasia using artificial intelligence. World J Methodol 2024; 14(2): 92267
- URL: https://www.wjgnet.com/2222-0682/full/v14/i2/92267.htm
- DOI: https://dx.doi.org/10.5662/wjm.v14.i2.92267