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All Journal Jurnal Ilmu Komputer dan Agri-Informatika Ophthalmologica Indonesiana
Rosy Aldina
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Agriculture, Biological Sciences & Forestry Computer Science & IT Health Professions Medicine & Pharmacology Public Health

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CHALLENGING DIAGNOSIS AND MANAGEMENT OF INFECTIOUS SCLERITIS COMPLICATED WITH CORNEAL PERFORATION CAUSED BY MULTI DRUG RESISTANT Proteus mirabilis: Poster Presentation - Case Report - Resident Pranandito Trunogati; Herwindo Dicky Putranto; Rosy Aldina
Majalah Oftalmologi Indonesia Vol 49 No S2 (2023): Supplement Edition
Publisher : The Indonesian Ophthalmologists Association (IOA, Perhimpunan Dokter Spesialis Mata Indonesia (Perdami))

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35749/3qc8ky50

Abstract

Introduction : Scleritis is a destructive inflammatory disease of sclera and may involve the cornea that associated with an underlying systemic disease and smaller minority are due to infections. The two conditions closely mimic each other, and diagnostic delay can lead to a poor outcome Case Illustration : A 72 year old male presented with severe pain, redness, swelling, and dimness of vision in his left eye. On slitlamp examination, a superonasal scleral nodule with overlying conjunctival defect and corneal ulcer was found. Both ANA test and RA factor were negative. Microbiological investigations of the lessions revealed MDR Proteus mirabilis. His left eye rapidly deteriorated leading to an impending perforation of the sclera and corneal perforation despite intensive antimicrobial therapy, then patient underwent a tibial periosteal graft on his left eye. Although the visual prognosis was poor, structural integrity of the eye was achieved Discussion : Infection is a rare cause of scleritis. Among the organism reported till date, Proteus mirabilis, a gram negative, rod shaped bacterium is the rarest to found. The inciting factors are mostly surgical. There was history of cataract surgery on left eye in this case Conclusion : infectious scleritis is often initially diagnosed as autoimmune, and cause diagnostic delay, the aggressive nature of the associated microbes further complicates the situation. Appropriate diagnosis generally includes lession scrapings with thorough culturing and antibiotic sensitivity testing. Both adequate medical and surgical methods are needed to save the globe from loss
Implementasi Pendekatan Algoritma Deep Learning CNN untuk Identifikasi Citra Pasien Keratitis Agmalaro, Muhammad Asyhar; Kusuma, Wisnu Ananta; Rif’ati, Lutfah; Pramita Andarwati; Anton Suryatama; Rosy Aldina; Hera Dwi Novita; Ovi Sofia
Jurnal Ilmu Komputer dan Agri-Informatika Vol. 10 No. 2 (2023)
Publisher : Departemen Ilmu Komputer, Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jika.10.2.164-175

Abstract

The incidence of keratitis globally ranges from 0.4 to 5.2 per 10,000 people annually. Keratitis can only be identified by an ophthalmologist using a slitlamp as a fundamental instrument for specific eye examination in secondary care facilities. In primary care facilities, eye specialists and slitlamps are not available. This causes delay in the diagnosis and treatment of keratitis patients in public health centers or areas with limited facilities and access to doctors/ophthalmologists. This research aims to develop a keratitis identification model using the convolutional neural network (CNN) method and training data consisting of images produced by smartphones and combined with slitlamp images. The training accuracy of the developed model is 92% with a dropout layer set at 0.3, and the average validation accuracy is 83%, indicating that the model training did not experience overfitting. The testing results with new data achieved an accuracy of 90%. Next, the parameters of the best model will be integrated into an application running on the Android operating system. However, the application’s functionality and UX/UI performance need to be improved to facilitate seamless use of the model.
Co-Authors Anton Suryatama Hera Dwi Novita Herwindo Dicky Putranto Muhammad Asyhar Agmalaro Ovi Sofia Pramita Andarwati Pranandito Trunogati Rif’ati, Lutfah Wisnu Ananta Kusuma