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Enhancing AI Readiness in Pediatric Surgery: Impact of a Targeted Workshop on Knowledge and Competencies
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Read the article on dx.doi.org ↗Article · Jul 2025 · 1 min read
In brief
In brief
This study evaluates a targeted AI workshop for pediatric surgeons at an international conference, revealing that despite high awareness of AI's potential in diagnostic imaging, participants lacked formal training. The workshop significantly improved understanding of AI and machine learning principles, demonstrating the effectiveness of structured educational interventions in building AI competencies among surgical specialists.
- Zero pediatric surgeons had formal AI training despite 90% familiarity with AI in diagnostic imaging, revealing a critical education gap.
- Targeted AI workshops significantly increased participants' understanding of AI/ML principles and real-world surgical applications.
- Hands-on algorithm training during workshops proved effective for building practical AI competencies in surgical specialists.
- Lack of formal AI education is a major barrier slowing AI adoption in pediatric surgery despite recognized transformative potential.
- Brief focused workshops can rapidly improve AI literacy among practicing surgeons, addressing immediate knowledge deficits.
Written by the GCMD Library team from the article.
Despite an awareness of the transformative potential of artificial intelligence (AI) in health care, 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).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.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/machine learning (ML) (p
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