Digital Therapeutics for Visual Field Defects After Stroke: A Clinical Trial
Introduction
After a stroke, visual field defects (VFDs) can severely impact a person’s quality of life. A new approach called visual perceptual learning (VPL) using digital therapeutics has shown promise in restoring visual field sensitivity. This clinical trial aimed to assess the effectiveness and safety of digital therapeutics (Nunap Vision [NV]) in treating post-stroke VFDs.
Methods
Stroke patients with VFDs were divided into two groups: NV (defective field training) and NV-C (central field training). Both groups underwent visual perceptual training using virtual reality headsets five days a week for 12 weeks. Visual field assessments were conducted at the beginning and end of the study.
Results
Both NV and NV-C training led to clinically meaningful improvements in visual areas, although there were no significant differences between the two groups. However, within-group analysis showed significant improvement in defective hemifield visual scores after NV training.
Conclusions
This trial suggests that VPL-based digital therapeutics can lead to meaningful visual improvements in post-stroke VFD patients. While differences in therapeutic efficacy between the two training methods were not significant, the unexpected improvement in NV-C training suggests potential learning transfer effects.
Practical Solutions and Value
Clinical trials drive the development of safe and effective treatments. Our AI-driven platform, DocSym, consolidates medical standards, protocols, and research for clinicians. Streamlining operations is crucial in today’s healthcare environment, and our mobile apps support scheduling, treatment monitoring, and telemedicine, enhancing patient care and expanding digital services. With AI, clinics can improve workflows and patient outcomes while reducing paper-based routines.
