Research graph
References from Evaluating the competency of ChatGPT in MRCP Part 1 and a systematic literature review of its capabilities in postgraduate medical assessments. Local targets link to admitted publications; unresolved targets remain external evidence.
Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models
10.1371/journal.pdig.0000198 · 2023 · External reference
Artificial intelligence in medical imaging
10.1016/j.mri.2019.12.006 · 2020 · External reference
How to develop machine learning models for healthcare
10.1038/s41563-019-0345-0 · 2019 · External reference
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The rise of ChatGPT: Exploring its potential in medical education
2023 · External reference
Enhancing clinical reasoning with Chat Generative Pre-trained Transformer: a practical guide
2023 · External reference
Using ChatGPT in Medical Research: Current Status and Future Directions
10.2147/jmdh.s413470 · 2023 · External reference
ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?
2023 · External reference
Parralel Recurrent Convolutional Neural Network for Abnormal Heart Sound Classification
2023 · External reference
Application of Recurrent Neural Network Algorithm in Intelligent Detection of Clinical Ultrasound Images of Human Lungs
2022 · External reference
Long short-term memory artificial neural network model for prediction of prostate cancer survival outcomes according to initial treatment strategy: development of an online decision-making support system
10.1007/s00345-020-03080-8 · 2020 · External reference
Monitoring ICU Mortality Risk with A Long Short-Term Memory Recurrent Neural Network
2020 · External reference
Attention Is All You Need
2023 · External reference
Large language models in medicine
10.1038/s41591-023-02448-8 · 2023 · External reference
AI bot ChatGPT writes smart essays — should professors worry?
2022 · External reference
ChatGPT: the future of discharge summaries?
10.1016/s2589-7500(23)00021-3 · 2023 · External reference
A Cross Sectional Study of ChatGPT in Translation: Magnitude of Use, Attitudes, and Uncertainties
10.1007/s10936-023-10031-y · 2023 · External reference
Empowering beginners in bioinformatics with ChatGPT
10.15302/j-qb-023-0327 · 2023 · External reference
This too shall pass: the performance of ChatGPT-3.5, ChatGPT-4 and New Bing in an Australian medical licensing examination
10.5694/mja2.52061 · 2023 · External reference
How does ChatGPT-4 preform on non-English national medical licensing examination? An evaluation in Chinese language
10.1371/journal.pdig.0000397 · 2023 · External reference
ChatGPT in Iranian medical licensing examination: evaluating the diagnostic accuracy and decision-making capabilities of an AI-based model
10.1136/bmjhci-2023-100815 · 2023 · External reference
Performance of GPT-3.5 and GPT-4 on the Japanese Medical Licensing Examination: Comparison Study
10.2196/48002 · 2023 · External reference
GPT-4 can pass the Korean National Licensing Examination for Korean Medicine Doctors
10.1371/journal.pdig.0000416 · 2023 · External reference
Performance of ChatGPT, Bard, Claude, and Bing on the Peruvian National Licensing Medical Examination: a cross-sectional study
10.3352/jeehp.2023.20.30 · 2023 · External reference
ChatGPT Conquers the Saudi Medical Licensing Exam: Exploring the Accuracy of Artificial Intelligence in Medical Knowledge Assessment and Implications for Modern Medical Education
External reference
Evaluating the performance of ChatGPT-4 on the United Kingdom Medical Licensing Assessment
10.3389/fmed.2023.1240915 · 2023 · External reference
Unresolved reference
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ChatGPT-4: An assessment of an upgraded artificial intelligence chatbot in the United States Medical Licensing Examination
2023 · External reference
Unresolved reference
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Reliability of the MRCP(UK) Part I Examination, 1984–2001
10.1046/j.1365-2923.2003.01568.x · 2003 · External reference
Graduates of different UK medical schools show substantial differences in performance on MRCP(UK) Part 1, Part 2 and PACES examinations
10.1186/1741-7015-6-5 · 2008 · External reference
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PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews
10.1136/bmj.n160 · 2021 · External reference
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ChatGPT’s Response Consistency: A Study on Repeated Queries of Medical Examination Questions
2024 · External reference
Capabilities of GPT-4 on Medical Challenge Problems
2023 · External reference
Could ChatGPT Pass the UK Radiology Fellowship Examinations?
2023 · External reference
Performance of ChatGPT on a primary FRCA multiple choice question bank
10.1016/j.bja.2023.04.025 · 2023 · External reference
Performance of ChatGPT and Bard on the official part 1 FRCOphth practice questions
2023 · External reference
ChatGPT outscored human candidates in a virtual objective structured clinical examination in obstetrics and gynecology
2023 · External reference
Assessing ChatGPT’s ability to pass the FRCS orthopaedic part A exam: A critical analysis
10.1016/j.surge.2023.07.001 · 2023 · External reference
ChatGPT 4 Versus ChatGPT 3.5 on The Final FRCR Part A Sample Questions. Assessing Performance and Accuracy of Explanations
2023 · External reference
Comparative analysis of large language models in the Royal College of Ophthalmologists fellowship exams
10.1038/s41433-023-02563-3 · 2023 · External reference
Artificial intelligence and anaesthesia examinations: exploring ChatGPT as a prelude to the future
10.1016/j.bja.2023.04.033 · 2023 · External reference
Performance of Generative Pre-trained Transformer-4 (GPT-4) in Membership of the Royal College of General Practitioners (MRCGP)-style examination questions
2023 · External reference
Evaluating the limits of AI in medical specialisation: ChatGPT’s performance on the UK Neurology Specialty Certificate Examination
10.1136/bmjno-2023-000451 · 2023 · External reference
Evaluation of Large language model performance on the Multi-Specialty Recruitment Assessment (MSRA) exam
10.1016/j.compbiomed.2023.107794 · 2023 · External reference
Performance of large language models at the MRCS Part A: a tool for medical education?
2023 · External reference
PLAB and UK graduates’ performance on MRCP(UK) and MRCGP examinations: data linkage study
10.1136/bmj.g2621 · 2014 · External reference
ChatGPT in medicine: an overview of its applications, advantages, limitations, future prospects, and ethical considerations
10.3389/frai.2023.1169595 · 2023 · External reference
GPT-4 in Nuclear Medicine Education: Does It Outperform GPT-3.5?
10.2967/jnmt.123.266485 · 2023 · External reference
ChatGPT: these are not hallucinations – they’re fabrications and falsifications
10.1038/s41537-023-00379-4 · 2023 · External reference
Fabrication and errors in the bibliographic citations generated by ChatGPT
10.1038/s41598-023-41032-5 · 2023 · External reference
ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns
10.3390/healthcare11060887 · 2023 · External reference
Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine
10.1038/s41746-024-01010-1 · 2024 · External reference
Dual Process Theory for Large Language Models: An overview of using Psychology to address hallucination and reliability issues
2023 · External reference
Artificial Intelligence in Ophthalmology: A Comparative Analysis of GPT-3.5, GPT-4, and Human Expertise in Answering StatPearls Questions
External reference
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
2023 · External reference
