Artificial intelligence is a term used for software that can imitate cognitive tasks such as comprehension and analysis of data and scientific problem solving [1]. This assists in reducing human involvement by a considerable degree and as a result helps in reducing human errors by doctors in a field where such errors would be fatal. The increasingly large influence of artificial intelligence in today’s world is undeniable, as is its effect on society in making it a more technologically advanced civilization. As such, it was inevitable for this technology to leak into the world of healthcare to assist medical practitioners in efficient diagnosis and treatment. Research on the application of AI technology in healthcare began as early as the 1960s and soon enough its application extended to the branch of ophthalmology in an attempt to attain early diagnosis and cure for leading illnesses related to the eye.

References

1. Amisha Paras Malik., et al. “Overview of artificial intelligence in Medicine”. Family Medicine Primary Care (2019): 2328-233.
2. Brritini A Scruggs., et al. “Artificial intelligence in retinopathy of prematurity diagnosis”. Translational Vision Science and Technology (2020).
3. Clare Gilbert., et al. “Artificial intelligence for ROP screening and to assess quality of care-progress and challenges”. Pediatrics (2021).
4. Danial S W Ting., et al. “Deep learning for retinopathy of prematurity screening”. BMJ of Ophthalmology (2018).
5. Gensure Rebekah H and Chiang Michael F. "Artificial intelligence for retinopathy of prematurity”. Current Opinion in Ophthalmology (2020): 312-317.
6. Ji Peng., et al. “Digital technology telemedicine and artificial intelligence in ophthalmology: A global perspective”. Progress in Retina Eye (2020).

Citation

Citation: Muhammad Ahmed Qayyum and Seema Qayyum. “Use of Artificial Intelligence and Machine Learning in Screening and Treatment of ROP in COVID Era".Acta Scientific Ophthalmology 4.5 (2021):25-27 .

Copyright

Copyright: © 2021 Muhammad Ahmed Qayyum and Seema Qayyum. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.