Deep learning-based natural language processing in ophthalmology: applications, challenges and future directions
LWY Yang, WY Ng, LL Foo, Y Liu, M Yan… - Current opinion in …, 2021 - journals.lww.com
Current opinion in ophthalmology, 2021•journals.lww.com
Healthcare has always endeavored to be patient centric and personalized. For AI-based
NLP systems to become an eventual reality in larger-scale applications, it is pertinent for key
stakeholders to collaborate and address potential challenges in application. Ultimately,
these would enable more equitable and generalizable use of NLP systems for the
betterment of healthcare and society.
NLP systems to become an eventual reality in larger-scale applications, it is pertinent for key
stakeholders to collaborate and address potential challenges in application. Ultimately,
these would enable more equitable and generalizable use of NLP systems for the
betterment of healthcare and society.
Summary
Healthcare has always endeavored to be patient centric and personalized. For AI-based NLP systems to become an eventual reality in larger-scale applications, it is pertinent for key stakeholders to collaborate and address potential challenges in application. Ultimately, these would enable more equitable and generalizable use of NLP systems for the betterment of healthcare and society.
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