OV-RDT platform: Intelligent Platform for OV Screening
and Strategic Management




🔗 Abstract


PPT_platform

  Liver flukes (Opisthorchis viverini) are prevalent in the Mae Khong basin. Opisthorchiasis is reported as the main cause of cholangiocarcinoma which is considered a severe disease with a high mortality rate. The incident can be reduced by early detection and Opisthorchiasis treatment. With the advent of the OV-RDT kit that effectively detects people with Opisthorchiasis via urine, we introduce the OV-RDT platform for facilitating the kit usage tracking, OV screening process, and data management.
  The platform consists of mobile applications for collecting the OV-RDT detection data, Artificial Intelligence (AI) agents for ensuring decent image quality and valid OV-RDT kit interpretation, and the dashboard for strategic management. For the mobile application, we developed an AI-based mobile application for Android and iOS that help capture and detect the OV-RDT kit in the image using an inbuilt smartphone camera. For the AI’s, we constructed two AI models: AI to ensure image quality and valid image and AI to identify the presence or absence of Opisthorchiasis infectious with four severity level. For the Dashboard, the OV-RDT data including the diagnostic results of AI were collected through the mobile application and will be stored on Information Support System and shown in the form of an automatic dashboard for analysis in epidemiology and progress of screening patients infected in area-based and community.
   The accuracies of AI for diagnostic Opisthorchiasis from OV-RDT in the two-class and five-class are 99.7% and 99.0%, respectively.



⚙ Manual “OV-RDT Appliation”



āļ§āļīāļ”āļĩāđ‚āļ­āļŠāļēāļ˜āļīāļ•āļāļēāļĢāđƒāļŠāđ‰āļ‡āļēāļ™ App OV-RDT (iOS)




āļ§āļīāļ”āļĩāđ‚āļ­āļŠāļēāļ˜āļīāļ•āļāļēāļĢāđƒāļŠāđ‰āļ‡āļēāļ™ App OV-RDT (Android)


🎴 Presentation Poster 2023





🏆 Award


āļĢāļēāļ‡āļ§āļąāļĨāļāļēāļĢāļ§āļīāļˆāļąāļĒāđāļŦāđˆāļ‡āļŠāļēāļ•āļī: āļĢāļēāļ‡āļ§āļąāļĨāļ›āļĢāļ°āļāļēāļĻāđ€āļāļĩāļĒāļĢāļ•āļīāļ„āļļāļ“ āļœāļĨāļ‡āļēāļ™āļ›āļĢāļ°āļ”āļīāļĐāļāđŒāļ„āļīāļ”āļ„āđ‰āļ™ āļ›āļĢāļ°āļˆāļģāļ›āļĩāļ‡āļšāļ›āļĢāļ°āļĄāļēāļ“ 2566
āļœāļĨāļ‡āļēāļ™āđ€āļĢāļ·āđˆāļ­āļ‡ â€œOV-RDT: āđāļžāļĨāļ•āļŸāļ­āļĢāđŒāļĄāļ›āļąāļāļāļēāļ›āļĢāļ°āļ”āļīāļĐāļāđŒāļŠāļģāļŦāļĢāļąāļšāļ„āļąāļ”āļāļĢāļ­āļ‡ āļˆāļąāļ”āļāļēāļĢāđāļĨāļ°āļŠāļ™āļąāļšāļŠāļ™āļļāļ™āļŠāļēāļĢāļŠāļ™āđ€āļ—āļĻāđ€āļžāļ·āđˆāļ­āļāļēāļĢāļ§āļēāļ‡āļāļĨāļĒāļļāļ—āļ˜āđƒāļ™āļāļēāļĢāđāļāđ‰āļ›āļąāļāļŦāļēāļāļēāļĢāļĢāļ°āļšāļēāļ”āļ‚āļ­āļ‡āđ‚āļĢāļ„āļžāļĒāļēāļ˜āļīāđƒāļšāđ„āļĄāđ‰āļ•āļąāļšâ€
āļˆāļēāļāļŠāļģāļ™āļąāļāļ‡āļēāļ™āļāļēāļĢāļ§āļīāļˆāļąāļĒāđāļŦāđˆāļ‡āļŠāļēāļ•āļī


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