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All Journal Cermin Dunia Kedokteran IJRETINA - International Journal of Retina
Jayanegara, Andi Putra
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Health Professions Medicine & Pharmacology Public Health

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Diagnosis dan Tatalaksana Deep Vein Thrombosis Jayanegara, Andi Putra
Cermin Dunia Kedokteran Vol 43, No 9 (2016): Kardiovaskuler
Publisher : PT. Kalbe Farma Tbk.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (193.491 KB) | DOI: 10.55175/cdk.v43i9.859

Abstract

Deep vein thrombosis (DVT) adalah bekuan darah di vena dalam yang sebagian besar tersusun atas fibrin, sel darah merah, serta sebagian kecil komponen leukosit dan trombosit. Diagnosis DVT ditegakkan berdasarkan gejala klinis dan pemeriksaan penunjang berupa laboratorium dan radiologi. Penatalaksanaan DVT dapat berupa terapi non-farmakologis, farmakologis, ataupun pembedahan.Deep vein thrombosis (DVT) is the formation of blood clots in deep veins, mostly composed from fibrin, red blood cells, and component of leukocytes and platelets. DVT diagnosis is based on clinical symptoms, laboratory, and radiology findings. Management of DVT may include non-pharmacological, pharmacologic, and surgical therapy.
Ebola Virus Disease – Masalah Diagnosis dan Tatalaksana Jayanegara, Andi Putra
Cermin Dunia Kedokteran Vol 43, No 8 (2016): Infeksi
Publisher : PT. Kalbe Farma Tbk.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1432.56 KB) | DOI: 10.55175/cdk.v43i8.90

Abstract

Ebola virus disease (EVD) merupakan salah satu zoonosis yang sangat menular dan memiliki tingkat mortalitas yang tinggi pada manusia. EVD disebabkan virus yang berasal dari genus Ebolavirus, famili Filoviridae. Manifestasi klinis berupa demam, nyeri sendi, diare, mual, muntah, dan perdarahan, bila tidak ditangani dengan segera dapat menimbulkan syok bahkan kematian. Sampai saat ini belum ditemukan pengobatan spesifik dan vaksin yang efektif untuk mencegah EVD.
The Validity of Artificial Intelligence (AI) for Diabetic Retinopathy Screening in Asia: A Systematic Review Dwi Lestari, Yeni; Jayanegara, Andi Putra
International Journal of Retina Vol 6 No 2 (2023): International Journal of Retina (IJRetina) - INAVRS
Publisher : Indonesian Vitreoretinal Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35479/ijretina.2023.vol006.iss002.241

Abstract

Introduction: One of the major diabetes mellitus (DM) complications is diabetic retinopathy (DR) which may lead to visual impairment. Unfortunately, estimated that more than one-third of diabetic patients in Asia have never undergone an ophthalmological examination. Screening for DR is an essential aspect of DM management. With advanced technological development, the use of artificial intelligence (AI) for DR screening have been increasing in popularity, especially since Deep Learning (DL) technologies in AI can process a large amount of data automatically without human intervention. Therefore, this review aims to evaluate the validity of AI as DR screening tool in Asian countries compared to ophthalmologist DR grading as a reference standard. Methods: A comprehensive search was conducted using relevant search terms from the electronic database (Pubmed, Cochrane, and EMBASE). Included studies were selected based on predefined inclusion criteria. Result: Twelve studies reported a good sensitivity of AI for detecting Referable DR (RDR). The lowest sensitivity was 79.2 %, and the highest was 100 %. For specificity, eleven studies reported good specificity, with only one study reporting a low value, with only 68.8% for detecting RDR. Conclusion: The AI can detect DR by screening large amounts of retina images quickly without the assistance of a trained retina specialist. In this review of local Asia population settings, AI has a good result for detecting RDR in almost all studies.
Co-Authors Dwi Lestari, Yeni