Evidence map›Paper›PMID 39625492›Full record

ReviewPediatric surgery international2024

Artificial intelligence and pediatric surgery: where are we?

Yuichiro Miyake, Giuseppe Retrosi, Richard Keijzer

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pediatric surgery international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Enhancing AI Readiness in Pediatric Surgery: Impact of a Targeted Workshop on Knowledge and Competencies.European journal of pediatric surgery : official journal of Austrian Association of Pediatric Surgery ... [et al] = Zeitschrift fur Kinderchirurgie · 2026
    Article
  2. Latest Developments in Artificial Intelligence and Machine Learning Models in General Pediatric Surgery.European journal of pediatric surgery : official journal of Austrian Association of Pediatric Surgery ... [et al] = Zeitschrift fur Kinderchirurgie · 2026
    Review
  3. AI in pediatric surgery: a narrative review.Translational pediatrics · 2026
    Review
  4. Article
  5. Article
  6. Artificial intelligence in otorhinolaryngology: current trends and application areas.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
    Review
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yuichiro MiyakeThorlakson Chair in Surgical Research, Division of Pediatric Surgery, Department of Surgery, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba and Children's Hospital Research Institute of Manitoba, AE402-820 Sherbrook Street, Winnipeg, MB, R3A 1S1, Canada.
Giuseppe RetrosiThorlakson Chair in Surgical Research, Division of Pediatric Surgery, Department of Surgery, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba and Children's Hospital Research Institute of Manitoba, AE402-820 Sherbrook Street, Winnipeg, MB, R3A 1S1, Canada.
Richard KeijzerThorlakson Chair in Surgical Research, Division of Pediatric Surgery, Department of Surgery, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba and Children's Hospital Research Institute of Manitoba, AE402-820 Sherbrook Street, Winnipeg, MB, R3A 1S1, Canada. rkeijzer@hsc.mb.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we explore the transformative effects of artificial intelligence (AI) and large language models (LLMs), such as ChatGPT and GEMINI, on pediatric surgery, including preoperative, intraoperative, and postoperative care, as well as their influence on medical education and patient communication. We discuss the role of AI in enhancing surgical precision, facilitating personalized care strategies throughout all surgical phases, and improving learning for healthcare professionals and students. AI's application in intraoperative settings, providing real-time decision support and augmenting surgical accuracy, underscores how AI can contribute to safer surgical outcomes. LLMs ability to explain medical terms and create easy-to-understand educational materials demonstrates its potential in medical education and patient communication. We also acknowledge the challenges of using AI, including ethical issues, data privacy concerns, and the imperative for human oversight. Despite these challenges, AI holds the potential to significantly enhance pediatric surgery, healthcare education, and patient care, and we recommend a careful but optimistic approach to its adaptation.

Indexed as

Artificial IntelligencePediatricsChildEducation, MedicalHumansArtificial intelligence, Pediatric SurgeryChatGPTGEMINILarge language modelsMachine learningNavigation operation

Identifiers

PMID39625492

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.