Development of a protocol for conducting a randomized control trial on effects of artificial intelligence on...

Area of Science:

• Pediatric Cardiology
• Nutritional Science
• Artificial Intelligence in Healthcare

Background:

• Children undergoing cardiac surgery often face significant nutritional challenges.
• Effective post-operative nutritional management is crucial for recovery and long-term health outcomes.
• Traditional dietary guidance may be insufficient for optimizing nutritional status in this vulnerable population.

Purpose of the Study:

• To evaluate the impact of an artificial intelligence (AI)-driven mobile application on the nutritional status of children following cardiac surgery.
• To compare the diet-related problems experienced by children using the AI application versus those receiving standard post-operative dietary advice.
• To explore the potential of AI technology in improving pediatric post-cardiac surgery care.

Main Methods:

• A two-arm, double-blind, randomized controlled trial was conducted.
• The intervention group received a diet-related mobile application powered by AI.
• The control group received standard post-operative dietary instructions via a pamphlet.

Main Results:

• The study aims to provide insights into the effectiveness of AI in improving nutritional status post-cardiac surgery.
• Findings are expected to influence the perception of AI's role in pediatric surgical nutrition.
• Successful outcomes could lead to wider adoption of the application in clinical settings.

Conclusions:

• This study protocol will indicate whether a diet-related mobile application can enhance the nutritional status of children post-cardiac surgery.
• The research is timely, given the increasing reliance on digital health solutions due to reduced hospital visits.
• The findings will inform the utility of AI-based mobile applications in managing pediatric post-surgical nutrition.