[HTML][HTML] Generative artificial intelligence through ChatGPT and other large language models in ophthalmology: clinical applications and challenges
TF Tan, AJ Thirunavukarasu, JP Campbell… - Ophthalmology …, 2023 - Elsevier
The rapid progress of large language models (LLMs) driving generative artificial intelligence
applications heralds the potential of opportunities in health care. We conducted a review up …
applications heralds the potential of opportunities in health care. We conducted a review up …
[PDF][PDF] ChatGPT performance on MCQ exams in higher education. A pragmatic scoping review
PM Newton, M Xiromeriti - EdArXiv. February, 2023 - files.osf.io
Background. There has been significant interest in the performance of ChatGPT on
professional exams 11 used to assess doctors, scientists and others. These exams are …
professional exams 11 used to assess doctors, scientists and others. These exams are …
ChatGPT performance on multiple choice question examinations in higher education. A pragmatic scoping review
P Newton, M Xiromeriti - Assessment & Evaluation in Higher …, 2023 - Taylor & Francis
Media coverage suggests that ChatGPT can pass examinations based on multiple choice
questions (MCQs), including those used to qualify doctors, lawyers, scientists etc. This poses …
questions (MCQs), including those used to qualify doctors, lawyers, scientists etc. This poses …
[HTML][HTML] Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional study
AJ Thirunavukarasu, S Mahmood, A Malem… - PLOS digital …, 2024 - journals.plos.org
Large language models (LLMs) underlie remarkable recent advanced in natural language
processing, and they are beginning to be applied in clinical contexts. We aimed to evaluate …
processing, and they are beginning to be applied in clinical contexts. We aimed to evaluate …
Evaluating multiple large language models in pediatric ophthalmology
IMPORTANCE The response effectiveness of different large language models (LLMs) and
various individuals, including medical students, graduate students, and practicing …
various individuals, including medical students, graduate students, and practicing …
Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional study
AJ Thirunavukarasu, S Mahmood, A Malem, WP Foster… - medRxiv, 2023 - medrxiv.org
Objective To evaluate the clinical potential of large language models (LLMs) in
ophthalmology using a more robust benchmark than raw examination scores. Materials and …
ophthalmology using a more robust benchmark than raw examination scores. Materials and …
Comparison of ChatGPT 3.5 Turbo and Human Performance in taking the European Board of Ophthalmology Diploma (EBOD) Exam
A Maino, J Klikowski, B Strong, W Ghaffari, M Woźniak… - 2024 - researchsquare.com
Methods This cross-sectional study used a sample of previous past exam papers from 2012,
2013, 2020–2023 EBOD examinations. This study analysed ChatGPT's responses to 392 …
2013, 2020–2023 EBOD examinations. This study analysed ChatGPT's responses to 392 …
[HTML][HTML] Evaluating Multiple Large Language Models in pediatric ophthalmology By admin No Comments
IMPORTANCE The response effectiveness of different large language models (LLMs) and
various individuals, including medical students, graduate students, and practicing …
various individuals, including medical students, graduate students, and practicing …