ArticleAnnals of biomedical engineering2024
The First Months of Life of ChatGPT and Its Impact in Healthcare: A Bibliometric Analysis of the Current Literature.
Article in Annals of biomedical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- Guideline-augmented prompting improves comparative preference and response consistency of large language model outputs for orthopaedic anaesthesia questions: A controlled prompting study.Journal of experimental orthopaedics · 2026Article
- Applications of DeepSeek in Medicine: Bibliometric Analysis and Scoping Review.Journal of medical Internet research · 2026Article
- The first birthday of OpenAI's Sora: A promising but cautious future in medicine.International journal of surgery (London, England) · 2025Article
- Can large language models facilitate the effective implementation of nursing processes in clinical settings?BMC nursing · 2025Article
- Non-technical Skills for Urology Trainees: A Double-Blinded Study of ChatGPT4 AI Benchmarking Against Consultant Interaction.Journal of healthcare informatics research · 2025Article
- ChatGPT as Valuable Patient Education Resource in Breast Cancer Care.Annals of surgical oncology · 2025Article
- Higher education students' perceptions of ChatGPT: A global study of early reactions.PloS one · 2025Article
- Assessing the Impact of ChatGPT in Dermatology: A Comprehensive Rapid Review.Journal of clinical medicine · 2024Review
- Google Bard and ChatGPT in Orthopedics: Which Is the Better Doctor in Sports Medicine and Pediatric Orthopedics? The Role of AI in Patient Education.Diagnostics (Basel, Switzerland) · 2024Article
- Publication Trends and Hot Spots of ChatGPT's Application in the Medicine.Journal of medical systems · 2024Article
- ChatGPT in orthopedics: a narrative review exploring the potential of artificial intelligence in orthopedic practice.Frontiers in surgery · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We aimed to evaluate current trends and future directions in the field of AI research since ChatGPT was launched. We performed a bibliometric analysis of the literature published during the first 7 months of the life of ChatGPT since its introduction, updated to July 1st, 2023. Seven hundred and twenty-four (724) articles were retrieved. This analysis highlights a significant increase in publications exploring ChatGPT use across various medical disciplines, indicating its expanding relevance in healthcare. A decline proportion of studies focusing on ethical considerations was observed. Simultaneously, there was a steady increase in studies focused on the exploration of possible applications of ChatGPT. As ChatGPT applications continue to expand, ongoing vigilance and collaborative efforts to optimize ChatGPT performance are essential in harnessing the benefits while mitigating the risks of AI use in healthcare.
Indexed as
Identifiers
37482572What OpenQuestion holds
Registered trials
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.