Effect of a Web-based Application With Integrated AI Chat for Cardiovascular Risk Support

October 28, 2026 updated by: Salma Ibrahim Fahmy Habib, Cairo University

Effect of a Web-based Application With Integrated AI Chat for Cardiovascular Risk Support Versus Usual Care: a Randomized Controlled Trial.

To determine the effect of a web-based application with an integrated AI chat module on 10-year cardiovascular risk score (intervention) versus usual clinic care (control) after 3 months from baseline score.

Study Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Detailed Description

Cardiovascular diseases (CVDs), such as coronary heart disease, stroke, and peripheral vascular disease, are still among the primary causes of early mortality and long-term disability across the globe, with an estimated 17.9 million deaths and over 422 million affected individuals reported each year . The literature data showed that CVD risk factors are common in Arab countries' populations . In Egypt, coronary heart disease deaths account for 32.40% of total deaths, making Egypt the 15th highest country with coronary heart disease deaths in the world, according to the latest WHO data. Physical inactivity, consumption of high-fat foods, elevated blood pressure, tobacco use, diabetes, obesity, and lipid disorders are key contributors to the increased incidence of coronary heart disease.

Significant developments in internet and mobile technologies over the past decade offer promising opportunities to alleviate the burden of cardiovascular diseases and expand access to healthcare services.

Digital health interventions (DHIs) are technology-driven tools designed to enhance patient care and health outcomes in a safe and efficient manner. These may include smartphone apps or automated email programs. Studies by Whittaker and Wieland show that DHIs can help lower cardiovascular risk factors, supporting outcomes like smoking cessation and weight reduction and Widmer's meta-analysis found that DHIs reduced rehospitalization rates and improved cardiovascular risk score.

Natural language processing (NLP) and large language model (LLM) technologies hold significant potential for enhancing patients' access to medical knowledge. Advanced AI chatbots-such as ChatGPT-are examples of pre-trained LLMs that can engage in human-like conversations and generate coherent, contextually appropriate responses. A growing number of individuals are turning to AI chatbots instead of conventional search methods drawn by their capacity to provide personalized interactions and immediate, customized responses.

Digital interventions can improve risk factor control but evidence for AI-chat integrated web applications on predicted 10-year CV risk is limited. This RCT will compare a web application + AI chat intervention against usual clinic care on cardiovascular risk support, so that our research question is "Among adults with cardiovascular risk factors attending Kasr- Alainy family medicine clinics, does using a web application with AI chat support lead to a greater reduction in predicted 10-year cardiovascular risk compared to usual care?".

Study Type

Interventional

Enrollment (Estimated)

116

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

40 years to 75 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Adults aged 40-75 years
  • At least one modifiable CV risk factor (hypertension, dyslipidemia, type 2 diabetes, current smoker).
  • Access to a smartphone/computer and internet.(for the intervention group)
  • Able to read Arabic and provide informed consent.
  • Baseline predicted 10-year CV risk ≥5%.

Exclusion Criteria:

  • Known previous major cardiovascular event (MI, stroke)
  • Illiterate patients
  • patient with predicted 10-year CV risk ≥20%.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Prevention
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Web app + AI chat (Intervention arm)

The intervention group will receive the usual clinic care and will be offered to use the app with AI chat for 3 months after explaining the purpose of the study.

-An informed written consent will be taken from each participant

• Web app features: User account with secure login, baseline profile (age, sex, BP, lipids, smoking, diabetes, medications) Automated calculation of 10-year cardio vascular disease risk (ASCVDR) will be done using The American College of Cardiology (ACC)/American Heart Association (AHA) Risk Estimator of ASCVD [12].

  • Educational modules (short, evidence-based content in Arabic)
  • Integrated AI chat An AI-powered chatbot is integrated into the web application to provide interactive health education and respond to user inquiries regarding cardiovascular risk, lifestyle modification, dietary advices and prevention strategies. The chatbot is connected to a large language model API, enabling natural language conversations and is accessible to participants 24 hours

• Web app features: User account with secure login, baseline profile (age, sex, BP, lipids, smoking, diabetes, medications) Automated calculation of 10-year cardio vascular disease risk (ASCVDR) will be done using The American College of Cardiology (ACC)/American Heart Association (AHA) Risk Estimator of ASCVD.

  • Educational modules (short, evidence-based content in Arabic)
  • Integrated AI chat An AI-powered chatbot is integrated into the web application to provide interactive health education and respond to user inquiries regarding cardiovascular risk, lifestyle modification, dietary advices and prevention strategies. The chatbot is connected to a large language model API, enabling natural language conversations and is accessible to participants 24 hours a day.

Medical content and responses were reviewed and supervised by the research team to ensure accuracy and adherence to international guidelines (American Heart Association [AHA] and European Society of Cardiology [ESC].

Usual care follows the national prevention and management guidelines for major cardiovascular risk factors including hypertension, dyslipidemia, diabetes, smoking, obesity, and physical inactivity. Patients typically undergo periodic clinical assessment which includes measurement of blood pressure, weight and BMI, review of lifestyle risk factors, and laboratory testing such as fasting blood glucose and lipid profile when indicated.

Standard lifestyle counseling is provided in the form of brief verbal advice concerning smoking cessation, healthy diet, and increasing physical activity. Pharmacological therapy is initiated or adjusted based on the clinical assessment and guideline recommendations (e.g., antihypertensive medications, statins, antidiabetic treatment).

Follow-up visits (monthly visits for 3 months).

Other: Usual care (Control arm)

Usual care follows the national prevention and management guidelines for major cardiovascular risk factors including hypertension, dyslipidemia, diabetes, smoking, obesity, and physical inactivity. Patients typically undergo periodic clinical assessment which includes measurement of blood pressure, weight and BMI, review of lifestyle risk factors, and laboratory testing such as fasting blood glucose and lipid profile when indicated.

Standard lifestyle counseling is provided in the form of brief verbal advice concerning smoking cessation, healthy diet, and increasing physical activity. Pharmacological therapy is initiated or adjusted based on the clinical assessment and guideline recommendations (e.g., antihypertensive medications, statins, antidiabetic treatment).

Follow-up visits (monthly visits for 3 months).

Usual care follows the national prevention and management guidelines for major cardiovascular risk factors including hypertension, dyslipidemia, diabetes, smoking, obesity, and physical inactivity. Patients typically undergo periodic clinical assessment which includes measurement of blood pressure, weight and BMI, review of lifestyle risk factors, and laboratory testing such as fasting blood glucose and lipid profile when indicated.

Standard lifestyle counseling is provided in the form of brief verbal advice concerning smoking cessation, healthy diet, and increasing physical activity. Pharmacological therapy is initiated or adjusted based on the clinical assessment and guideline recommendations (e.g., antihypertensive medications, statins, antidiabetic treatment).

Follow-up visits (monthly visits for 3 months).

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Mean absolute change in predicted 10-year cardiovascular risk (%) from baseline to 3 months in intervention and control groups.
Time Frame: 3 months
3 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Mean change in systolic BP (mmHg)
Time Frame: 3 months

Change in systolic blood pressure from baseline to 3 months, measured in mmHg.

3 months
Mean change in diastolic blood pressure
Time Frame: 3 months

Change in diastolic blood pressure from baseline to 3 months, measured in mmHg.

3 months
Mean change in LDL cholesterol
Time Frame: 3 months

Change in low-density lipoprotein (LDL) cholesterol level from baseline to 3 months, measured in mg/dL.

3 months
Mean change in HDL cholesterol
Time Frame: 3 months

Change in high-density lipoprotein (HDL) cholesterol level from baseline to 3 months, measured in mg/dL.

3 months
Mean change in total cholesterol
Time Frame: 3 months

Change in total cholesterol level from baseline to 3 months, measured in mg/dL.

3 months
Mean change in HbA1c among participants with diabetes
Time Frame: 3 months

Change in glycated hemoglobin (HbA1c) from baseline to 3 months among participants with diabetes, measured as a percentage (%).

3 months
System Usability Scale (SUS) score
Time Frame: 3 months

Usability of the web-based application will be assessed using the 10-item System Usability Scale (SUS), with total scores ranging from 0 to 100. Higher scores indicate better perceived usability.

3 months
Change in medication adherence score
Time Frame: 3 months

Change in medication adherence from baseline to 3 months, assessed using Adherence to Refills and Medications Scale (ARMS) questionnaire . It consists of 12 items covering two main domains: medication-taking behavior and prescription refill adherence Each item is scored on a 4-point Likert scale ranging from 1 (none of the time) to 4 (all of the time), with higher scores indicating lower adherence

3 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

October 25, 2026

Primary Completion (Estimated)

August 1, 2027

Study Completion (Estimated)

September 1, 2027

Study Registration Dates

First Submitted

October 19, 2026

First Submitted That Met QC Criteria

October 28, 2026

First Posted (Actual)

November 4, 2026

Study Record Updates

Last Update Posted (Actual)

November 4, 2026

Last Update Submitted That Met QC Criteria

October 28, 2026

Last Verified

October 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • application with AI chat &CVD

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.