PhD Scientific Days 2026

Poster Session 3.L - Health Sciences

Investigation of the Use of Generative Artificial Intelligence in Primary and Secondary Prevention

Előadó neve

Angyal, Viola, MSc

Neptune code

RDU2PC

Előadó munkahelye

Semmelweis University Doctoral College, Health Sciences Division, Institute of Digital Health Sciences, Budapest, Hungary

Előadó telefonszáma

06304700105

Előadó e-mail címe

angyalviolazs@gmail.com

Az előadás címe

Investigation of the Use of Generative Artificial Intelligence in Primary and Secondary Prevention

Szerző(k) neve és munkahelye

Angyal Viola¹

1: Semmelweis University Doctoral College, Health Sciences Division, Institute of Digital Health Sciences, Budapest, Hungary

Bemutatás módja

Poszter

Szekció

Poster Session 3.L - Health Sciences

Language of the presentation

English

Preferred session

Health Sciences

Összefoglaló szövege

Introduction: The rapid growth of generative artificial intelligence offers new opportunities for preventive healthcare but raises concerns about accuracy and misinterpretation despite its accessibility and popularity for health information.
Aims: This study aimed to develop and validate a self-administered questionnaire assessing the role of ChatGPT in primary and secondary prevention among adults, and to examine the extent of its use for disease prevention and health maintenance in Hungary.
Methods: Questionnaire items were derived from a systematic literature review and included demographic variables, internet use patterns, and validated items from the Brief Health Literacy Screening Tool. ChatGPT usage was assessed across four sections covering knowledge, attitudes, and behaviors, alongside key participant characteristics. Test–retest reliability was evaluated using Kendall’s tau, and internal consistency was measured with Cronbach’s alpha.
Results: During validation, the questionnaire was administered twice to 22 participants (16 females, 6 males; 44 responses in total). Knowledge items showed significant test–retest reliability (Kendall’s τ, p < 0.01); behavioral items demonstrated strong stability (seven with τ = 1.0, five with τ > 0.70), and attitude items yielded similarly high values (three with τ = 1.0, three with τ > 0.70). Internal consistency was acceptable (Cronbach’s α = 0.771). In the Hungarian pilot study (n = 112), most respondents were female (83.0 %), with a mean age of 33.9 years, and the majority reported hourly internet use (78.6 %). The impact of ChatGPT on health-related decision-making was heterogeneous; overall, 17.9% reported a clearly positive influence on healthy lifestyle choices and participation in screening examinations.
Conclusion: This study introduces a preliminarily validated, model-independent questionnaire on ChatGPT use in disease prevention, with successful pilot testing; further research with larger, diverse samples is needed.
Funding: SUPPORTED BY THE 2024-2.1.2-EKÖP-KDP-2024-00002 UNIVERSITY RESEARCH SCHOLARSHIP PROGRAMME OF THE MINISTRY FOR CULTURE AND INNOVATION FROM THE SOURCES OF THE NATIONAL RESEARCH, DEVELOPMENT AND INNOVATION FUND.

University

Semmelweis University

Supervisor

Prof. Dr. Dinya Elek

Publication of my abstract

I give consent to the publication of my abstract on the website of the congress.

phd.section.field

in doctoral studies after complex exam (PhD)

Kind

Szabad

Status

elfogadva

Accepted presentation method

poszter

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

7462

Start

13:54

End

13:57