Cargando…
Artificial intelligence method to classify ophthalmic emergency severity based on symptoms: a validation study
OBJECTIVES: We investigated the usefulness of machine learning artificial intelligence (AI) in classifying the severity of ophthalmic emergency for timely hospital visits. STUDY DESIGN: This retrospective study analysed the patients who first visited the Armed Forces Daegu Hospital between May and D...
Autor principal: | Ahn, Hyunmin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7337880/ https://www.ncbi.nlm.nih.gov/pubmed/32624476 http://dx.doi.org/10.1136/bmjopen-2020-037161 |
Ejemplares similares
-
Teleophthalmology and Artificial Intelligence As Game Changers in Ophthalmic Care After the COVID-19 Pandemic
por: Nikolaidou, Anna, et al.
Publicado: (2021) -
Ophthalmic Manifestations of Syphilis
Publicado: (1909) -
Ophthalmic Manifestations of Syphilis
Publicado: (1909) -
Under lock and key: Incorporation of blockchain technology in the field of ophthalmic artificial intelligence for big data management - A perfect match?
por: Ramesh, Prasanna Venkatesh, et al.
Publicado: (2022) -
Ophthalmic Manifestations of Acute Leukemia
por: Hafeez, Mohammad Uzair, et al.
Publicado: (2019)