ArticleLangenbeck's archives of surgery2023
Delving into New Frontiers: assessing ChatGPT's proficiency in revealing uncharted dimensions of general surgery and pinpointing innovations for future advancements.
Article in Langenbeck's archives of surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Testing and Evaluation of Health Care Applications of Large Language Models: A Systematic Review.JAMA · 2025Pooled it
- Artificial Intelligence and ChatGPT in Abdominopelvic Surgery: A Systematic Review of Applications and Impact.In vivo (Athens, Greece)Pooled it
- Artificial Intelligence-driven Innovation: Patent and Publication Analysis of ChatGPT-generated Ideas for Upper Extremity Prosthetics.Plastic and reconstructive surgery. Global open · 2025Article
- Can ChatGPT generate surgical multiple-choice questions comparable to those written by a surgeon?Proceedings (Baylor University. Medical Center) · 2025Article
- Artificial Intelligence, the ChatGPT Large Language Model: Assessing the Accuracy of Responses to the Gynaecological Endoscopic Surgical Education and Assessment (GESEA) Level 1-2 knowledge tests.Facts, views & vision in ObGyn · 2024Article
- Exploring the Unknown: Evaluating ChatGPT's Performance in Uncovering Novel Aspects of Plastic Surgery and Identifying Areas for Future Innovation.Aesthetic plastic surgery · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe advent of artificial intelligence (AI) has significantly influenced various medical domains, including general surgery. This research aims to assess ChatGPT, an AI language model, in its ability to shed light on the historical facets of general surgery and pinpoint opportunities for innovation.
methodsA series of 7 pertinent questions on field of general surgery was posed to ChatGPT. The AI-generated responses were meticulously examined for their relevance, accuracy, and novelty. Additionally, the study explored the AI's ability to recognize knowledge gaps and propose inventive solutions. Expert general surgeons and general surgical residents possessing comprehensive research experience assessed ChatGPT's answers by comparing them to established guidelines and existing literature.
resultsChatGPT presented information that was relevant and accurate, albeit superficial. However, it exhibited convergent thinking and was unable to produce truly groundbreaking ideas to transform general surgery. Instead, it pointed to current popular trends with significant potential for further development. It failed to provide references when prompted and even created references that could not be verified in exhibiting databases.
conclusionWhile ChatGPT demonstrated a comprehensive understanding of existing general surgical knowledge and the capacity to generate relevant, evidence-based material, it displayed limitations in producing truly groundbreaking concepts or discoveries beyond current knowledge. These results highlight the necessity of enhancing AI-driven models to facilitate the emergence of new insights and promote synergistic, human-AI partnerships for expediting advancements within the general surgery domain.
Indexed as
Identifiers
37999815What OpenQuestion holds
Registered trials
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.