Exploring the Effectiveness of AI Generative Models for Diabetic Patients
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Exploring AI-Chatbot.
- Who it may be relevant to
- Registry conditions: Diabetes Mellitus, Type 2, Diabetic Retinopathy, Diabetes. Basic parameters: 18 years — 100 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Pakistan
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Overview
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.
Interventions
- 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.
Primary outcome measures
- Usability of the Chatbot for diabetic patient [Time frame: One time]
- Internet Speed [Time frame: One time]
Secondary outcome measures (1)
- Analyzing Chat response generated by AI Chatbot [Time frame: One time]
Eligibility criteria
Inclusion criteria
- Present physically in Pakistan
- Adults (18 years or older)
- Diabetic Patient
Exclusion criteria
- Adults unable to consent
- Individuals who are not yet adults (infants, children, teenagers)
- Prisoners
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Case-only
Study locations
Pakistan · 1 center
- CDLE, PCSIR Lbas Complex — Karachi
Identifiers
NCT: NCT05883072 · AI Chatbot Evaluation