Research progress on artificial intelligence in diabetic retinopathy
Diabetic retinopathy(DR)is one of the many complications of diabetes and one of the major causes of blindness in middle-aged and elderly people in the world. Early detection and treatment can effectively reduce the blindness rate. In recent years, the application of artificial intelligence(AI)in oph...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Xiao-Yu Ma [verfasserIn] Li Zhang [verfasserIn] Yan-Long Bi [verfasserIn] |
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E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: Guoji Yanke Zazhi - Press of International Journal of Ophthalmology (IJO PRESS), 2017, 22(2022), 11, Seite 1818-1821 |
|---|---|
| Übergeordnetes Werk: |
volume:22 ; year:2022 ; number:11 ; pages:1818-1821 |
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| DOI / URN: |
10.3980/j.issn.1672-5123.2022.11.11 |
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DOAJ083890092 |
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| 520 | |a Diabetic retinopathy(DR)is one of the many complications of diabetes and one of the major causes of blindness in middle-aged and elderly people in the world. Early detection and treatment can effectively reduce the blindness rate. In recent years, the application of artificial intelligence(AI)in ophthalmology has been expanding, and its research in DR screening and diagnosis has become a new hotspot. This paper aims to summarize the research progress of AI in the field of DR screening and diagnosis in recent years, raise questions, and set a course for the future. Additional information related to the further application and promotion of AI in this field is also provided. | ||
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10.3980/j.issn.1672-5123.2022.11.11 doi (DE-627)DOAJ083890092 (DE-599)DOAJdd8a07be7eb64054ba0d781a2c585c6c DE-627 ger DE-627 rakwb eng RE1-994 Xiao-Yu Ma verfasserin aut Research progress on artificial intelligence in diabetic retinopathy 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Diabetic retinopathy(DR)is one of the many complications of diabetes and one of the major causes of blindness in middle-aged and elderly people in the world. Early detection and treatment can effectively reduce the blindness rate. In recent years, the application of artificial intelligence(AI)in ophthalmology has been expanding, and its research in DR screening and diagnosis has become a new hotspot. This paper aims to summarize the research progress of AI in the field of DR screening and diagnosis in recent years, raise questions, and set a course for the future. Additional information related to the further application and promotion of AI in this field is also provided. diabetic retinopathy artificial intelligence fundus photography Ophthalmology Li Zhang verfasserin aut Yan-Long Bi verfasserin aut In Guoji Yanke Zazhi Press of International Journal of Ophthalmology (IJO PRESS), 2017 22(2022), 11, Seite 1818-1821 (DE-627)1680946854 16725123 nnns volume:22 year:2022 number:11 pages:1818-1821 https://doi.org/10.3980/j.issn.1672-5123.2022.11.11 kostenfrei https://doaj.org/article/dd8a07be7eb64054ba0d781a2c585c6c kostenfrei http://ies.ijo.cn/cn_publish/2022/11/202211011.pdf kostenfrei https://doaj.org/toc/1672-5123 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 AR 22 2022 11 1818-1821 |
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Diabetic retinopathy(DR)is one of the many complications of diabetes and one of the major causes of blindness in middle-aged and elderly people in the world. Early detection and treatment can effectively reduce the blindness rate. In recent years, the application of artificial intelligence(AI)in ophthalmology has been expanding, and its research in DR screening and diagnosis has become a new hotspot. This paper aims to summarize the research progress of AI in the field of DR screening and diagnosis in recent years, raise questions, and set a course for the future. Additional information related to the further application and promotion of AI in this field is also provided. |
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Diabetic retinopathy(DR)is one of the many complications of diabetes and one of the major causes of blindness in middle-aged and elderly people in the world. Early detection and treatment can effectively reduce the blindness rate. In recent years, the application of artificial intelligence(AI)in ophthalmology has been expanding, and its research in DR screening and diagnosis has become a new hotspot. This paper aims to summarize the research progress of AI in the field of DR screening and diagnosis in recent years, raise questions, and set a course for the future. Additional information related to the further application and promotion of AI in this field is also provided. |
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Diabetic retinopathy(DR)is one of the many complications of diabetes and one of the major causes of blindness in middle-aged and elderly people in the world. Early detection and treatment can effectively reduce the blindness rate. In recent years, the application of artificial intelligence(AI)in ophthalmology has been expanding, and its research in DR screening and diagnosis has become a new hotspot. This paper aims to summarize the research progress of AI in the field of DR screening and diagnosis in recent years, raise questions, and set a course for the future. Additional information related to the further application and promotion of AI in this field is also provided. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ083890092</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230311023033.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230311s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3980/j.issn.1672-5123.2022.11.11</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ083890092</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJdd8a07be7eb64054ba0d781a2c585c6c</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RE1-994</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Xiao-Yu Ma</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Research progress on artificial intelligence in diabetic retinopathy</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Diabetic retinopathy(DR)is one of the many complications of diabetes and one of the major causes of blindness in middle-aged and elderly people in the world. Early detection and treatment can effectively reduce the blindness rate. In recent years, the application of artificial intelligence(AI)in ophthalmology has been expanding, and its research in DR screening and diagnosis has become a new hotspot. This paper aims to summarize the research progress of AI in the field of DR screening and diagnosis in recent years, raise questions, and set a course for the future. 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