ONCOVATE: A Framework for AI-Powered Motivational Assistance in Cancer Care

Abstract

Cancer patients frequently face not only physical but also emotional and psychological challenges throughout their treatment journey. The integration of artificial intelligence (AI) into healthcare provides new opportunities for enhancing patient motivation and adherence to treatment. This paper introduces Oncovate, a framework designed to develop an AI-powered motivational support system for oncology patients. The proposed framework leverages secondary datasets for design, model training, and simulation testing in its initial stages. It consists of four core modules: data acquisition, personalization, motivational support, and evaluation. Using advanced models such as Conditional Random Fields (CRF) and Bidirectional LSTM (Bi-LSTM), the system generates personalized motivational interventions. In addition to emotional modeling, wearable data integration enables real-time tracking of physical and behavioral indicators. The framework was validated on secondary datasets and simulated patient journeys, demonstrating its potential to improve emotional resilience, treatment adherence, and patient engagement. Oncovate is designed for future deployment as a web and mobile application. This paper highlights the design, technical implementation, evaluation outcomes, and ethical implications of deploying such AI-powered tools in oncology care.