Evidence map›Paper›PMID 38188345›Full record

ArticleFrontiers in medicine2023

The opportunities and challenges of adopting ChatGPT in medical research.

Abeer Alsadhan, Fahad Al-Anezi, Asmaa Almohanna, Norah Alnaim, Hayat Alzahrani, Reem Shinawi, Hoda AboAlsamh, Amal Bakhshwain, Maha Alenazy, Wejdan Arif and 9 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 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. Trial
  2. Article
  3. Article
  4. Article
  5. Prospects and perils of ChatGPT in diabetes.World journal of diabetes · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. ChatGPT in Healthcare Writing: Advantages and Limitations.Healthcare informatics research · 2024
    Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. 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

19 authors.

Abeer AlsadhanImam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Fahad Al-AneziImam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Asmaa AlmohannaPrincess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Norah AlnaimImam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Hayat AlzahraniNorthern Border University, Arar, Saudi Arabia.
Reem ShinawiEastern Health Cluster, Dammam, Saudi Arabia.
Hoda AboAlsamhImam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Amal BakhshwainMinistry of Health, Riyadh, Riyadh, Saudi Arabia.
Maha AlenazyKing Saud University, Riyadh, Riyadh, Saudi Arabia.
Wejdan ArifKing Saud University, Riyadh, Riyadh, Saudi Arabia.
Seham AlyousefKing Saud University, Riyadh, Riyadh, Saudi Arabia.
Sami AlhamidiKing Saud University, Riyadh, Riyadh, Saudi Arabia.
Alya AlghamdiKing Saud University, Riyadh, Riyadh, Saudi Arabia.
Nour AlShrayfiPublic Authority for Applied Education and Training, Kuwait City, Kuwait.
Nouf Bin RubaianImam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Turki AlanziImam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Alaa AlSahliKing Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Rasha AlturkiImam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Nawal HerzallahUniversity College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aims to investigate the opportunities and challenges of adopting ChatGPT in medical research. Methods: A qualitative approach with focus groups is adopted in this study. A total of 62 participants including academic researchers from different streams in medicine and eHealth, participated in this study. Results: A total of five themes with 16 sub-themes related to the opportunities; and a total of five themes with 12 sub-themes related to the challenges were identified. The major opportunities include improved data collection and analysis, improved communication and accessibility, and support for researchers in multiple streams of medical research. The major challenges identified were limitations of training data leading to bias, ethical issues, technical limitations, and limitations in data collection and analysis. Conclusion: Although ChatGPT can be used as a potential tool in medical research, there is a need for further evidence to generalize its impact on the different research activities.

Indexed as

challenges and successesChatGPThealthcaremedical researchopportunities and application

Identifiers

PMID38188345
PMCPMC10766839

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.