Selected Publication:
SHR
Neuro
Cancer
Cardio
Lipid
Metab
Microb
Till, H; Elsayed, H; Singer, G; Obermüller, B; Till, T; Gnatzy, R; Tschauner, S.
Enhancing AI Readiness in Pediatric Surgery: Impact of a Targeted Workshop on Knowledge and Competencies.
Eur J Pediatr Surg. 2025;
Doi: 10.1055/a-2650-6603
Web of Science
PubMed
FullText
FullText_MUG
- Leading authors Med Uni Graz
-
Till Holger
- Co-authors Med Uni Graz
-
Obermüller Beate
-
Singer Georg
-
Till Tristan
-
Tschauner Sebastian
- Altmetrics:
- Dimensions Citations:
- Plum Analytics:
- Scite (citation analytics):
- Abstract:
- INTRODUCTION: Despite an awareness of the transformative potential of Artificial Intelligence (AI) in healthcare, its development in pediatric surgery seems slow. One major reason may be a lack of formal AI-training. This study assesses the basic AI knowledge and the effectiveness of AI workshops (AI-WS). MATERIALS AND METHODS: Four AI-WS were held at the International Academy of Pediatric Surgery 2024. Topics included AI principles, real-time algorithm training and potential AI applications in pediatric surgery. Self-developed surveys consisting of eight pre-WS and nine post-WS questions were conducted, focusing on participants' AI competencies, usage, educational needs, barriers and future perspectives. RESULTS: Out of 57 pediatric surgeons, 53 completed both surveys. None had formal AI training. Although 90% were familiar with AI in diagnostic imaging, most had only basic knowledge of AI technology. After the workshop, participants reported a significant increase in the general understanding of AI/ML (p<0.001). 96% stated that they were better informed about AI/ML applications for clinical practice. 83% expressed interest in further AI training. 91% believed that AI will be more integrated into clinical practice and over 80% anticipated that AI will improve patient outcomes. CONCLUSION: The AI-WS effectively enhanced pediatric surgeons' AI knowledge and their readiness to adopt AI technologies. Even though our study is limited by the relatively low sample size and a potential selection bias, our results still highlight the importance of targeted education in preparing healthcare professionals for AI integration. The long-term sustainability of knowledge gains, however, has to be examined in further studies.
- Find related publications in this database (Keywords)
-
artificial intelligence
-
machine learning
-
competencies
-
educational needs
-
pediatric surgery