Use of generative artificial intelligence for self-diagnosis and health-related decision-making among adults: a cross-sectional study
Supervisor Name
Dima Malhis
Supervisor Email
dima.malhis@najah.edu
University
An-Najah National University
Research field
Medical Sciences
Bio
Medical graduate from Palestine and a Research and Teaching Assistant at the Scientific Research and Medical Projects unit, Faculty of Medicine and Allied Medical Sciences at An-Najah National University. My interests focus on clinical and public health research, particularly in pediatrics, and in Medical Education. I am passionate about fostering research engagement among medical students. I am also involved in organizing academic initiatives that promote collaboration and innovation in medical research among students.
Description
This project will investigate how adults use generative artificial intelligence tools for self-diagnosis and health-related decision-making. The study will assess how frequently individuals use AI to interpret symptoms, laboratory results, medications, or possible diagnoses; the level of trust placed in AI-generated health information; whether AI influences decisions to seek, delay, or avoid professional medical care; and whether users disclose this use to healthcare professionals. A cross-sectional survey design will be used to identify patterns of use and factors associated with greater reliance on AI for personal health decisions. The findings may help clarify how generative AI is shaping patient behavior and inform future strategies for safe, responsible use of AI in healthcare.