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[Artificial intelligence in pediatric surgery : Present and future].

Jan Gödeke1, Oliver Muensterer2, S Rohleder2

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Summary
This summary is machine-generated.

This review examines the current state and future potential of artificial intelligence technologies within the field of pediatric surgery. While these tools are becoming common in many industries, their specific application to children's surgical care remains in the early stages of development and implementation.

Keywords:
DigitalizationImage recognitionMachine learningSpeech recognitionTelemedicinedigital healthsurgical innovationmedical informaticsclinical technology

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Area of Science:

  • Artificial intelligence in pediatric surgery research within digital health
  • Medical informatics and surgical innovation

Background:

Digital transformation is rapidly reshaping modern business models across various global sectors. Medicine and medical technology have started to embrace these advancements to improve patient outcomes. Pediatric surgery represents a specialized field where the benefits of such innovations are increasingly acknowledged. However, the integration of these sophisticated tools into daily clinical workflows remains largely unexplored. Prior research has shown that many surgical applications exist, yet their specific adaptation for pediatric patients is sparse. That uncertainty drove the need for a comprehensive evaluation of current technological trends. No prior work had resolved how these digital systems might specifically address the unique requirements of children. This gap motivated a critical assessment of the current landscape to guide future clinical adoption.

Purpose Of The Study:

The aim of this article is to provide a status quo analysis of artificial intelligence within international pediatric surgery. This review seeks to address the lack of clarity regarding the adoption of digital tools in children's surgical care. The authors intend to discuss future perspectives and offer suggestions for the field's evolution. By examining current developments, the study addresses the motivation to modernize surgical practices. The researchers explore how existing technological advancements can be tailored to meet the unique needs of pediatric patients. This work aims to bridge the gap between general surgical innovation and specialized pediatric requirements. The analysis provides a foundation for understanding the current limitations and opportunities in the sector. This study serves as a guide for clinicians and researchers navigating the digital shift in medicine.

Main Methods:

The review approach involved a comprehensive appraisal of existing international literature regarding digital advancements. The authors synthesized findings from various published studies to characterize the current status quo. Additionally, the team incorporated external expert opinions to broaden the scope of the analysis. Personal experiences of the authors provided further context for the evaluation of these technologies. This methodology focused on identifying potential adaptations of general surgical tools for pediatric use. The team systematically examined how these innovations align with the specific demands of the specialty. This approach ensured a balanced discussion of both current limitations and future perspectives. The study design relied on qualitative synthesis rather than experimental data collection.

Main Results:

Key findings from the literature demonstrate that a wide spectrum of AI applications is currently available in the broader field of surgery. The authors report that many of these existing developments possess the potential for adaptation within pediatric care. However, the current experience with these tools for specific pediatric surgical indications remains limited to isolated cases. The literature indicates that digital transformation is increasingly influencing business models in medical technology. The authors observe that pediatric surgery cannot ignore the growing trend toward the integration of these digital systems. The analysis reveals that the requirements of pediatric surgery must be prioritized during the development of new applications. These findings highlight a significant disparity between general surgical availability and pediatric implementation. The authors conclude that the current landscape is characterized by high potential but limited practical application.

Conclusions:

The authors suggest that pediatric surgery must actively engage with the ongoing digital evolution. Current evidence indicates that while broad surgical applications exist, pediatric-specific implementation remains restricted to rare instances. Synthesis and implications reveal that adapting existing surgical technologies for children requires careful consideration of unique anatomical and physiological needs. The authors propose that future progress depends on integrating these digital tools into routine practice. This review highlights that ignoring these advancements is no longer a viable option for specialized surgical disciplines. The establishment of dedicated working groups represents a proactive step toward managing this technological shift. Ultimately, the authors emphasize that strategic planning is necessary to bridge the gap between general surgical innovation and pediatric care. These findings provide a framework for future development within the international pediatric surgical community.

The researchers propose that current pediatric surgical AI usage is restricted to isolated cases. In contrast, general surgical fields possess a wider spectrum of available applications that could potentially be adapted for younger patients.

The authors identify the German Association for Pediatric Surgery as a key entity. They established a working group on digitalization in September 2019 to address the specific requirements of the field.

The authors argue that the unique anatomical and physiological requirements of pediatric patients necessitate specific considerations. These factors are vital for successfully adapting general surgical technologies to children.

Digital transformation serves as the overarching framework for these advancements. It facilitates the adoption of new business models and technological processes within medical enterprises.

The authors measure the current state of the field through an appraisal of international publications. They also incorporate external expert opinions and their own professional experiences to evaluate the landscape.

The authors suggest that pediatric surgical disciplines cannot disregard the trend toward AI application. They imply that proactive engagement is required to ensure these tools meet the specific needs of the specialty.