Evidence map›Paper›PMID 37162695›Full record

ArticleAnnals of biomedical engineering2023

ChatGPT in Colorectal Surgery: A Promising Tool or a Passing Fad?

Wenbo Li, Yinxu Zhang, Fengmin Chen

Abstract readLetter
PubMed Publisher
In one paragraph

Article in Annals of biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Exploring the benefits and challenges of AI-driven large language models in gastroenterology: Think out of the box.Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia · 2024
    Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Potential application of ChatGPT inFrontiers in medicine · 2024
    Article
  12. Article
  13. Surgeon or Bot? The Risks of Using Artificial Intelligence in Surgical Journal Publications.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2023
    Article
  14. Review
  15. Review
  16. 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.

Wenbo LiDepartment of Nursing, Jinzhou Medical University, Jinzhou, China.
Yinxu ZhangDepartment of Colorectal Surgery, The First Affiliated Hospital, Jinzhou Medical University, Jinzhou, 121001, China.
Fengmin ChenDepartment of Colorectal Surgery, The First Affiliated Hospital, Jinzhou Medical University, Jinzhou, 121001, China. 314307031@qq.com.ORCID http://orcid.org/0009-0003-6118-1554

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal surgery is a specialized branch of surgery that involves the diagnosis and treatment of conditions affecting the colon, rectum, and anus. In the recent years, the use of artificial intelligence (AI) has gained considerable interest in various medical specialties, including surgery. Chatbot Generative Pre-Trained Transformer (ChatGPT), an AI-based chatbot developed by OpenAI, has shown great potential in improving the quality of healthcare delivery by providing accurate and timely information to both patients and healthcare professionals. In this paper, we investigate the potential application of ChatGPT in colorectal surgery. We also discuss the potential advantages and challenges associated with the implementation of ChatGPT in the surgical setting. Furthermore, we address the socio-ethical implications of utilizing ChatGPT in healthcare. This includes concerns over patient privacy, liability, and the potential impact on the doctor-patient relationship. Our findings suggest that ChatGPT has the potential to revolutionize the field of colorectal surgery by providing personalized and precise medical information, reducing errors and complications, and improving patient outcomes.

Indexed as

Artificial IntelligenceColorectal SurgeryClinical Decision-MakingHumansPhysician-Patient RelationsPostoperative CarePrivacySoftwareArtificial intelligenceChatbotChatGPTColorectal surgery

Identifiers

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.