Artificial Intelligence-Driven Telehealth Framework for Detecting Nystagmus.

Journal: Cureus
Published Date: May 1, 2025

Abstract

PURPOSE: This study reports the implementation of a proof-of-concept, artificial intelligence (AI)-driven clinical decision support system for detecting nystagmus. The system collects and analyzes real-time clinical data to assist in diagnosing, demonstrating its potential for integration into telemedicine platforms. Patients may benefit from the system's convenience, reduced need for travel and associated costs, and increased flexibility and increased flexibility through both in-person and virtual applications.

Authors

  • Harshal Sanghvi
    Department of Information Technology and Operations Management, College of Business, Florida Atlantic University, Boca Raton, USA.
  • Ali A Danesh
    Department of Communication Sciences and Disorders, Florida Atlantic University, Boca Raton, USA.
  • Jillene Moxam
    Department of Technology and Clinical Trials, Advanced Research, Deerfield Beach, USA.
  • Sandeep K Reddy
    Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, USA.
  • Gurnoor S Gill
    Department of Medicine, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, USA.
  • B Sue Graves
    Department of Exercise Science and Health Promotion, Florida Atlantic University, Boca Raton, USA.
  • Sajeel Chowdhary
    Department of Neurology, Baptist Health Medical Center, Boca Raton, USA.
  • Kakarla Chalam
    Department of Ophthalmology, Loma Linda University Medical Center, Loma Linda, USA.
  • Shailesh Gupta
    Department of Technology and Clinical Trials, Advanced Research, FL, USA.
  • Abhijit S Pandya
    Department of CEECS, Florida Atlantic University, FL, USA.

Keywords

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