NCT05883072

Exploring the Effectiveness of AI Generative Models for Diabetic Patients

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 300 (estimated)
• Sponsor: Pakistan Council of Scientific and Industrial Research · Academic / Other
• Sex: All
• Age: 18 Years – 100 Years
• Healthy volunteers: Not accepted

Summary

We plan to explore the usability of Generative AI-Chatbot for Diabetic Patient

Detailed description

Diabetes is rapidly spreading, affecting a significant number of adults, with a staggering total of 537 million diabetic individuals. This condition gives rise to various complications that can lead to diabetic retinopathy, foot ulcers, cardiac problems, and kidney damage. However, many of these complications can be mitigated by providing patients with accurate information concerning their diet, stress management, and weight control. The recent advancements in Generative Artificial Intelligence-based chatbots have demonstrated their efficacy as intelligent assistants across various aspects of human life. In this study, we aim to assess the effectiveness of these Language Models in assisting patients. Our research plan entails the interaction between patients and chatbots like ChatGPT, both with and without human support, followed by evaluations of these interactions by specialists. Additionally, we will gather feedback from patients regarding their experiences and perceptions of the chatbot interactions.

Conditions

• Diabetes Mellitus, Type 2
• Diabetic Retinopathy
• Diabetes

Interventions

Type	Name	Description
BEHAVIORAL	Exploring AI-Chatbot	All participants will be provided access to AI-Chatbot and will be asked to enquire their daily life problems related to diabetes. They will also be asked to review the replies of the Chatbot after their interaction.

Timeline

• Start date: 2023-01-05
• Primary completion: 2024-12-30
• Completion: 2026-12-31
• First posted: 2023-05-31
• Last updated: 2023-06-05

Locations

1 site across 1 country: Pakistan