| Autor: |
Hitoshi Tabuchi, Hiroki Masumoto |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Allergology International, Vol 69, Iss 4, Pp 505-509 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
1323-8930 |
| DOI: |
10.1016/j.alit.2020.05.004 |
| Popis: |
We have summarized the past efforts and results of objective measurement methods for conjunctival hyperemia classification. Severity classification using conjunctival blood vessel occupancy rate, ocular surface temperature analysis, and artificial intelligence have been reported to be clinically useful, as they have been found to correlate with the severity of conjunctival hyperemia by doctors. The AI method using slit lamp microscope images, whose main purpose is to be widely used in daily clinical practice, can be spread all over the world. As a result, it may lay the foundation for clinical research using large amounts of clinical data collected on the same basis without human bias. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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