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Expert Performance in Visual Differentiation of Bacterial and Fungal Keratitis

2021; Elsevier BV; Volume: 129; Issue: 2 Linguagem: Inglês

10.1016/j.ophtha.2021.09.019

1549-4713

Travis K. Redd, N. Venkatesh Prajna, Muthiah Srinivasan, Prajna Lalitha, Tiru Krishnan, Revathi Rajaraman, Anitha Venugopal, Brandon J. Lujan, Nisha R. Acharya, Gerami D. Seitzman, Jennifer Rose‐Nussbaumer, Thomas M. Lietman, J. Peter Campbell, Jeremy D. Keenan, Diana Álvarez-Melloni, Menen Ayalew, Ashwin Balasubramanian, Elsie Chan, Matilda F. Chan, Meenu Chaudhary, Thomas H. Chia, James Chodosh, Yean Yaw Choong, Joseph Christenbury, Josephine Christy, John Clements, John Dart, Mohammad H. Dastjerdi, Matthew R. Denny, Sathish Devarajan, Mohamed Gamal Elghobaier, Chris Estopinal, Preethika Gandhi, Nikhil S Gokhale, Colleen Halfpenny, Rossen Mihaylov Hazarbassanov, Natalie D. Hernández, Anna Hovakimyan, David G. Hwang, Frank S. Hwang, Tomas Jaeschke, Vishal Jhanji, Faris I. Karas, Divya Karthik, Camila Kase, Lakshmi Kattana, Tyson N. Kim, Aaleya Koreishi, David Tee Liang, Christine E. Martinez, Rafael Martínez-Costa, Stephen D. McLeod, Jodhbir S. Mehta, Michael Mimouni, A. Moss, Afshan Nanji, Nathan Nataneli, Vasudha Panday, Sayali Pradhan, Ying Qian, N. Raguveera Rao, Julie M. Schallhorn, Ruti Sella, Suvitha Selvaraj, David Spokes, Neha Shaik, Nakul Shekhawat, Alan Sugar, Audrey Talley Rostov, Napaporn Tananuvat, Chulaluck Tangmonkongvoragul, Tanya Trinh, Sonal S. Tuli, Phit Upaphong, Bart Van Dooren, Manoj Vasudevan, Elizabeth T. Viriya, Maria A. Woodward,

Retinal and Optic Conditions

Prompt identification of the cause of infectious keratitis is important to guide antimicrobial therapy, but culture results are not available immediately and are falsely negative in 40% to 60% of cases. 1 Mcleod S.D. Kolahdouz-Isfahani A. Rostamian K. et al. The role of smears, cultures, and antibiotic sensitivity testing in the management of suspected infectious keratitis. Ophthalmology. 1996; 103: 23-28 Abstract Full Text PDF PubMed Scopus (133) Google Scholar Novel diagnostic methods, including artificial intelligence (AI) models for image-based diagnosis of corneal ulcers, have been proposed to address this gap, with promising preliminary results. 2 Ghosh A.K. Thammasudjarit R. Jongkhajornpong P. et al. Deep learning for discrimination between fungal keratitis and bacterial keratitis: DeepKeratitis. Cornea. 2021 Sep 29; (Online ahead of print) Crossref PubMed Scopus (1) Google Scholar ,3 Kuo M.T. Hsu B.W.Y. Yin Y.K. et al. A deep learning approach in diagnosing fungal keratitis based on corneal photographs. Sci Rep. 2020; 10: 14424 Crossref PubMed Scopus (13) Google Scholar However, before these models can be implemented, they must be compared against human clinical impression of the cause of infection, which is the current standard of care for determining empiric therapy in the absence of microbiologic data.