Evidence map›Paper›PMID 37101866›Full record

ArticleArthroscopy, sports medicine, and rehabilitation2023

Use of an Artificial Intelligence Conversational Agent (Chatbot) for Hip Arthroscopy Patients Following Surgery.

Tim Dwyer, Graeme Hoit, David Burns, James Higgins, Justin Chang, Daniel Whelan, Irene Kiroplis, Jaskarndip Chahal

Abstract read
In one paragraph

Article in Arthroscopy, sports medicine, and rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Exploring Collaboration Breakdowns Between Provider Teams and Patients in Post-Surgery Care.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2026
    Article
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  7. Large Language Models in Spine Surgery: A Promising Technology.HSS journal : the musculoskeletal journal of Hospital for Special Surgery · 2025
    Review
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  20. ChatGPT in Plastic and Reconstructive Surgery.Indian journal of plastic surgery : official publication of the Association of Plastic Surgeons of India · 2023
    Review
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

8 authors.

Tim DwyerWomen's College Hospital, Toronto, Canada.
Graeme HoitWomen's College Hospital, Toronto, Canada.
David BurnsUniversity of Toronto Orthopedic Sports Medicine, Toronto, Canada.
James HigginsUniversity of Toronto Orthopedic Sports Medicine, Toronto, Canada.
Justin ChangUniversity of Toronto Orthopedic Sports Medicine, Toronto, Canada.
Daniel WhelanWomen's College Hospital, Toronto, Canada.
Irene KiroplisUniversity of Toronto Orthopedic Sports Medicine, Toronto, Canada.
Jaskarndip ChahalWomen's College Hospital, Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The purpose of this study was to evaluate the use of an AI conversational agent during the postoperative recovery of patients undergoing elective hip arthroscopy. Methods: Patients undergoing hip arthroscopy were enrolled in a prospective cohort for their first 6 weeks following surgery. Patients used standard SMS text messaging to interact with an artificial intelligence (AI) chatbot ("Felix") used to initiate automated conversations regarding elements of postoperative recovery. Patient satisfaction was measured at 6 weeks after surgery using a Likert scale survey. Accuracy was determined by measuring the appropriateness of chatbot responses, topic recognition, and examples of confusion. Safety was measured by evaluating the chatbot's responses to any questions with potential medical urgency. Results: Twenty-six patients were enrolled with a mean age of 36 years, and 58% ( Conclusion: The results of this study demonstrate that the use of a chatbot or conversational agent can enhance the postoperative experience for hip arthroscopy patients, as demonstrated by high levels of patient satisfaction. Levels of Evidence: Level IV, therapeutic case series.

Identifiers

PMID37101866
PMCPMC10123501

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.