Exploring the Effectiveness of AI Generative Models for Diabetic Patients

Pakistan Council of Scientific and Industrial Research

Status

Enrolling

Conditions

Diabetes

Diabetes Mellitus, Type 2

Diabetic Retinopathy

Treatments

Behavioral: Exploring AI-Chatbot

Study type

Observational

Funder types

Other

Identifiers

NCT05883072

AI Chatbot Evaluation

Details and patient eligibility

About

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

Full 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.

Enrollment

300 estimated patients

Sex

All

Ages

18 to 100 years old

Volunteers

No Healthy Volunteers

Inclusion criteria