Document Type

Presentation

Publication Date

2024

Keywords

Artificial Intelligence, Healthcare

Disciplines

Artificial Intelligence and Robotics

Abstract

Pain is one of the most disruptive human experiences, influencing not only physical well-being but also emotional and mental health. The PainSync project proposes a technology-assisted framework for pain recognition, monitoring, and management, using AI-driven tools to bridge the gap between patient experiences and professional care. PainSync begins by recognizing an individual’s discomfort and offering immediate support through a chatbot that collects symptom information and provides preliminary guidance. The system then tracks vital signs and daily activities, generating data that is subsequently analyzed by custom-built AI models to detect patterns, assess severity, and identify potential causes of pain. This analysis equips healthcare professionals with insights to deliver personalized treatment recommendations. The process concludes with ongoing support for recovery, ensuring that patients’ progress is continuously monitored. By combining real-time data collection, AI-based pattern recognition, and professional medical oversight, PainSync addresses the subjectivity and complexity of pain.

Comments

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Community Engaged/Serving

Part of the UMass Boston Community-Engaged Teaching, Research, and Service Series. //scholarworks.umb.edu/engage

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