In vivo confocal microscopy of the cornea: State of the art and the potential of artificial intelligence
In vivo confocal microscopy of the cornea: state of the art and the potential of artificial intelligence. Giulio Ferrari, MD PhD; Massimo De Micheli, MD. Laser confocal microscopy of the cornea (IVCM) allows in vivo, real time imaging of the corneal histology. All the corneal layers can be imaged, w...
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Veröffentlicht in: | Acta ophthalmologica (Oxford, England) England), 2024-01, Vol.102 (S279), p.n/a |
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description | In vivo confocal microscopy of the cornea: state of the art and the potential of artificial intelligence.
Giulio Ferrari, MD PhD; Massimo De Micheli, MD.
Laser confocal microscopy of the cornea (IVCM) allows in vivo, real time imaging of the corneal histology. All the corneal layers can be imaged, without need of contrast agents. While morphological characteristics of multiple corneal and systemic diseases have been described, the use of IVCM in the clinic is principally indicated to reach an early diagnosis of acanthamoeba and fungal keratitis. Significant limitations include the need of highly experienced examinators, and inability to diagnose bacterial keratitis. Moreover, reaching a correct diagnosis is more complex in advanced cases, where coexisting inflammation substantially reduces corneal transparency. Artificial intelligence represents an attractive tool to overcome, at least in part, these shortcomings and has potential to substantially increase the specificity and sensitivity of IVCM. |
doi_str_mv | 10.1111/aos.16546 |
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Giulio Ferrari, MD PhD; Massimo De Micheli, MD.
Laser confocal microscopy of the cornea (IVCM) allows in vivo, real time imaging of the corneal histology. All the corneal layers can be imaged, without need of contrast agents. While morphological characteristics of multiple corneal and systemic diseases have been described, the use of IVCM in the clinic is principally indicated to reach an early diagnosis of acanthamoeba and fungal keratitis. Significant limitations include the need of highly experienced examinators, and inability to diagnose bacterial keratitis. Moreover, reaching a correct diagnosis is more complex in advanced cases, where coexisting inflammation substantially reduces corneal transparency. Artificial intelligence represents an attractive tool to overcome, at least in part, these shortcomings and has potential to substantially increase the specificity and sensitivity of IVCM.</description><identifier>ISSN: 1755-375X</identifier><identifier>EISSN: 1755-3768</identifier><identifier>DOI: 10.1111/aos.16546</identifier><language>eng</language><publisher>Malden: Wiley Subscription Services, Inc</publisher><subject>Artificial intelligence ; Confocal microscopy ; Contrast media ; Cornea ; Diagnosis ; Eye diseases ; Keratitis ; Physical characteristics</subject><ispartof>Acta ophthalmologica (Oxford, England), 2024-01, Vol.102 (S279), p.n/a</ispartof><rights>2024 The Authors Acta Ophthalmologica © 2024 Acta Ophthalmologica Scandinavica Foundation</rights><rights>Copyright © 2024 Acta Ophthalmologica Scandinavica Foundation</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Faos.16546$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,1427,27901,27902,45551,46808</link.rule.ids></links><search><creatorcontrib>Ferrari, Giulio</creatorcontrib><title>In vivo confocal microscopy of the cornea: State of the art and the potential of artificial intelligence</title><title>Acta ophthalmologica (Oxford, England)</title><description>In vivo confocal microscopy of the cornea: state of the art and the potential of artificial intelligence.
Giulio Ferrari, MD PhD; Massimo De Micheli, MD.
Laser confocal microscopy of the cornea (IVCM) allows in vivo, real time imaging of the corneal histology. All the corneal layers can be imaged, without need of contrast agents. While morphological characteristics of multiple corneal and systemic diseases have been described, the use of IVCM in the clinic is principally indicated to reach an early diagnosis of acanthamoeba and fungal keratitis. Significant limitations include the need of highly experienced examinators, and inability to diagnose bacterial keratitis. Moreover, reaching a correct diagnosis is more complex in advanced cases, where coexisting inflammation substantially reduces corneal transparency. Artificial intelligence represents an attractive tool to overcome, at least in part, these shortcomings and has potential to substantially increase the specificity and sensitivity of IVCM.</description><subject>Artificial intelligence</subject><subject>Confocal microscopy</subject><subject>Contrast media</subject><subject>Cornea</subject><subject>Diagnosis</subject><subject>Eye diseases</subject><subject>Keratitis</subject><subject>Physical characteristics</subject><issn>1755-375X</issn><issn>1755-3768</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp1kMtOAjEUhhujiYgufIMmrlwMtDPMmRl3hHghIWEBC3dN04uUDO3YFgxvb2HUnd30nP7fufRH6J6SEU1nzF0YUSgncIEGtCrLrKigvvyLy_drdBPClhCgAJMB2swtPpiDw8JZ7QRv8c4I74Jw3RE7jeNGJclbxZ_wKvKofh-5j5hbeY47F5WNJhUnMQlGG3HKjI2qbc2HskLdoivN26Dufu4hWr88r2dv2WL5Op9NF5mgadWsLEACqaCZaF4KSgQnEhqheZXLvJYgC6CSFpzmUuV5XtU6r0lCQQAoWhVD9NC37bz73KsQ2dbtvU0TWUHqBsqG0iZRjz11-mrwSrPOmx33R0YJO_nIko_s7GNixz37ZVp1_B9k0-Wqr_gG1oh0gA</recordid><startdate>202401</startdate><enddate>202401</enddate><creator>Ferrari, Giulio</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TK</scope></search><sort><creationdate>202401</creationdate><title>In vivo confocal microscopy of the cornea: State of the art and the potential of artificial intelligence</title><author>Ferrari, Giulio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1376-536d607694fa5c10ca0d69cfa72d28d6d361d13a12de22278f280fa56c66e173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Artificial intelligence</topic><topic>Confocal microscopy</topic><topic>Contrast media</topic><topic>Cornea</topic><topic>Diagnosis</topic><topic>Eye diseases</topic><topic>Keratitis</topic><topic>Physical characteristics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ferrari, Giulio</creatorcontrib><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><jtitle>Acta ophthalmologica (Oxford, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ferrari, Giulio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>In vivo confocal microscopy of the cornea: State of the art and the potential of artificial intelligence</atitle><jtitle>Acta ophthalmologica (Oxford, England)</jtitle><date>2024-01</date><risdate>2024</risdate><volume>102</volume><issue>S279</issue><epage>n/a</epage><issn>1755-375X</issn><eissn>1755-3768</eissn><abstract>In vivo confocal microscopy of the cornea: state of the art and the potential of artificial intelligence.
Giulio Ferrari, MD PhD; Massimo De Micheli, MD.
Laser confocal microscopy of the cornea (IVCM) allows in vivo, real time imaging of the corneal histology. All the corneal layers can be imaged, without need of contrast agents. While morphological characteristics of multiple corneal and systemic diseases have been described, the use of IVCM in the clinic is principally indicated to reach an early diagnosis of acanthamoeba and fungal keratitis. Significant limitations include the need of highly experienced examinators, and inability to diagnose bacterial keratitis. Moreover, reaching a correct diagnosis is more complex in advanced cases, where coexisting inflammation substantially reduces corneal transparency. Artificial intelligence represents an attractive tool to overcome, at least in part, these shortcomings and has potential to substantially increase the specificity and sensitivity of IVCM.</abstract><cop>Malden</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1111/aos.16546</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Artificial intelligence Confocal microscopy Contrast media Cornea Diagnosis Eye diseases Keratitis Physical characteristics |
title | In vivo confocal microscopy of the cornea: State of the art and the potential of artificial intelligence |
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