Evidence map›Paper›PMID 38688653›Full record

SynthesisIn vivo (Athens, Greece)

Artificial Intelligence and ChatGPT in Abdominopelvic Surgery: A Systematic Review of Applications and Impact.

Marta Goglia, Marco Pace, Marco Yusef, Gaetano Gallo, Matteo Pavone, Niccolò Petrucciani, Paolo Aurello

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in In vivo (Athens, Greece). 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. Article
  2. Article
  3. Review
  4. Observational
  5. Article
  6. 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

7 authors.

Marta GogliaDepartment of Medical and Surgical Sciences and Translational Medicine, School in Translational Medicine and Oncology, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy.
Marco PaceDepartment of Medical and Surgical Sciences and Translational Medicine, School in Translational Medicine and Oncology, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy; marco.pace@uniroma1.it.
Marco YusefDepartment of Medical and Surgical Sciences and Translational Medicine, School in Translational Medicine and Oncology, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy.
Gaetano GalloDepartment of Surgery, Sapienza University of Rome, Rome, Italy.
Matteo PavoneDipartimento di Scienze per la Salute della Donna e del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli, IRCCS, UOC Ginecologia Oncologica, Rome, Italy.
Niccolò PetruccianiDepartment of Medical and Surgical Sciences and Translational Medicine, School in Translational Medicine and Oncology, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy.
Paolo AurelloDepartment of Surgery, Sapienza University of Rome, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimThe integration of AI and natural language processing technologies, such as ChatGPT, into surgical practice has shown promising potential in enhancing various aspects of abdominopelvic surgical procedures. This systematic review aims to comprehensively evaluate the current state of research on the applications and impact of artificial intelligence (AI) and ChatGPT in abdominopelvic surgery summarizing existing literature towards providing a comprehensive overview of the diverse applications, effectiveness, challenges, and future directions of these innovative technologies. MATERIALS AND

methodsA systematic search of major electronic databases, including PubMed, Google Scholar, Cochrane Library, Web of Science, was conducted from October to November 2023, to identify relevant studies. Inclusion criteria encompassed studies that investigated the utilization of AI and ChatGPT in abdominopelvic surgical settings, including, but not limited to preoperative planning, intraoperative decision-making, postoperative care, and patient communication.

resultsFourteen studies met the inclusion criteria and were included in this review. The majority of the studies were analysing ChatGPT's data output and decision making while two studies reported patient and general surgery resident perception of the tool applied to clinical practice. Most studies reported a high accuracy of ChatGPT in data output and decision-making process, however with an unforgettable number of errors.

conclusionThis systematic review contributes to the current understanding of the role of AI and ChatGPT in abdominopelvic surgery, providing insight into their applications and impact on clinical practice. The synthesis of available evidence will inform future research directions, clinical guidelines, and development of these technologies to optimize their potential benefits in enhancing surgical care within the abdominopelvic domain.

Indexed as

Artificial IntelligenceAbdomenHumansNatural Language ProcessingPelvisabdominopelvic surgeryArtificial intelligenceChatGPTinnovation

Identifiers

PMID38688653
PMCPMC11059919

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.