AI Support for Breast Cancer Patients: Assessing ChatGBT's Efficacy

Poster Number: P119
Presentation Time: -

Abstract Keywords: Patient Engagement and Preferences, Personal Health Informatics, Cancer Genetics, Self-care/Management/Monitoring, Education and Training
Primary Track: Applications
Programmatic Theme: Consumer Health Informatics

This study explores the efficacy of leveraging artificial intelligence (AI), particularly ChatGBT, to support breast cancer patients. Analyzing 178 questions, ChatGBT provided responses covering various topics. Results revealed an accuracy rate of 82%, with minimal incomplete responses (13%) and very few completely inaccurate ones (5%). Consistency across topics was high at 92%. These findings emphasize ChatGBT's capacity as a supportive tool, shaping future initiatives to integrate AI to enhance the experience of breast cancer patients.

Speaker(s):
Sneha Anil Kumar Vaidhyam, Ph.D. student
University of Pittsburgh

Author(s):
Moyosore Adegboye, University of Pittsburgh (PhD in view) - University of Pittsburgh;