Predictive Analysis of Nanobubble Therapy: Explainable AI Innovation
This video introduces an exciting innovation: how artificial intelligence (AI) is used to help assess the effects of hydrogen nanobubble therapy on patients. In this study, we created an application that can predict whether a person is still at risk of experiencing symptoms after undergoing therapy, simply by entering health data before and after treatment.
Not only does it provide predictive results, but the application also explains the reasoning behind its predictions—for example, which factors most influence the patient's condition, such as blood pressure, age, heart rate, or the dose of therapy received. In this way, AI technology not only provides answers but also helps us understand health patterns more clearly and transparently.
Through this research, the Indonesian Molecular Innovation Foundation aims to introduce a more modern and accurate method to support the assessment of the benefits of hydrogen nanobubble therapy. We hope this video provides a simple overview of how data-driven innovation can help the healthcare world.