Evidence map›Paper›PMID 37609022›Full record

ArticleIndian journal of orthopaedics2023

ChatGPT-4: Transforming Medical Education and Addressing Clinical Exposure Challenges in the Post-pandemic Era.

Kirk Lower, Ishith Seth, Bryan Lim, Nimish Seth

Open access · greenAbstract read
In one paragraph

Article in Indian journal of orthopaedics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
1.8field-weighted citation impact, top 12% of its field
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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 47 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Kirk LowerDepartment of Orthopaedics, St George Hospital, Gray Street, Sydney, NSW 2000 Australia.ORCID 0000-0001-6722-3426
Ishith SethFaculty of Science, Medicine, and Health, Central Clinical School at Monash University, The Alfred Centre, 99 Commercial Rd, Melbourne, VIC 3004 Australia.ORCID 0000-0001-5444-8925
Bryan LimFaculty of Science, Medicine, and Health, Central Clinical School at Monash University, The Alfred Centre, 99 Commercial Rd, Melbourne, VIC 3004 Australia.
Nimish SethDepartment of Orthopaedic Surgery, Peninsula Health, Melbourne, VIC 3004 Australia.
The Alfred Hospital · AUPeninsula Health · AUSt George Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic has affected medical education, constraining clinical exposure and posing unprecedented challenges for students and junior doctors. This research explores the potential of artificial intelligence (AI), specifically the ChatGPT-4 language model, to transform medical education and address the deficiencies in clinical exposure during the post-pandemic era. Research Questions/Purpose: What is the potential of AI large language models in delivering safe and coherent medical advice to junior doctors for clinical orthopaedic scenarios? Patients and Methods: A series of diverse orthopaedic questions was presented to ChatGPT-4, from general medicine to highly specialised fields. The questions were based on a variety of common orthopaedic presentations including neck of femur fracture, compartment syndrome, pulmonary embolism, and a motor vehicle accident. A validated questionnaire (Likert Scale) was implemented to evaluate the answers produced by ChatGPT-4. Results: Our results indicate that ChatGPT-4 exhibits exceptional proficiency in delivering accurate and coherent medical advice. Its intuitive interface, accessibility, and sophisticated algorithm render it an ideal supplementary tool for medical students and junior doctors. Despite certain limitations, such as its inability to fully address highly specialised areas, this study highlights the potential of AI and ChatGPT-4 to revolutionise medical education and fill the clinical exposure void generated by the pandemic. Future research should concentrate on the practical application of ChatGPT-4 in real-world medical environments and its integration with other emerging technologies to optimise its influence on the education and training of healthcare professionals. Conclusions: ChatGPT-4's integration into orthopaedic education and practice can mitigate pandemic-related experience gaps, promoting self-directed, personalised learning and decision-making support for interns and residents. Future advancements may address limitations to enhance healthcare professionals' learning and expertise. Level of Evidence: Level III evidence-observational study.

Identifiers

PMID37609022
PMCPMC10442004
OpenAlexW4385741595

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.