Artificial intelligence in ophthalmology during COVID-19 and in the post COVID-19 era.
Curr Opin Ophthalmol
; 31(5): 447-453, 2020 Sep.
Article
in English
| MEDLINE | ID: covidwho-659298
ABSTRACT
PURPOSE OF REVIEW To highlight artificial intelligence applications in ophthalmology during the COVID-19 pandemic that can be used to describe ocular findings and changes correlated with COVID-19; extract information from scholarly articles on SARS-CoV-2 and COVID-19 specific to ophthalmology; and implement efficient patient triage and telemedicine care. RECENT FINDINGS:
Ophthalmology has been leading in artificial intelligence and technology applications. With medical imaging analysis, pixel-annotated distinguishable features on COVID-19 patients may help with noninvasive diagnosis and severity outcome predictions. Using natural language processing (NLP) and data integration methods, topic modeling on more than 200 ophthalmology-related articles on COVID-19 can summarize ocular manifestations, viral transmission, treatment strategies, and patient care and practice management. Artificial intelligence for telemedicine applications can address the high demand, prioritize and triage patients, as well as improve at home-monitoring devices and secure data transfers.SUMMARY:
COVID-19 is significantly impacting the way we are delivering healthcare. Given the already successful implementation of artificial intelligence applications and telemedicine in ophthalmology, we expect that these systems will be embraced more as tools for research, education, and patient care.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Pneumonia, Viral
/
Artificial Intelligence
/
Coronavirus Infections
/
Betacoronavirus
Type of study:
Observational study
/
Prognostic study
Topics:
Long Covid
Limits:
Humans
Language:
English
Journal:
Curr Opin Ophthalmol
Journal subject:
Ophthalmology
Year:
2020
Document Type:
Article
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