Bioinformatics and biomedical informatics with ChatGPT: Year one review
The year 2023 marked a significant surge in the exploration of applying large language
model chatbots, notably Chat Generative Pre‐trained Transformer (ChatGPT), across …
model chatbots, notably Chat Generative Pre‐trained Transformer (ChatGPT), across …
Huatuogpt-vision, towards injecting medical visual knowledge into multimodal llms at scale
The rapid development of multimodal large language models (MLLMs), such as GPT-4V,
has led to significant advancements. However, these models still face challenges in medical …
has led to significant advancements. However, these models still face challenges in medical …
[HTML][HTML] The transformative impact of large language models on medical writing and publishing: current applications, challenges and future directions
S Ahn - The Korean Journal of Physiology & Pharmacology …, 2024 - synapse.koreamed.org
Large language models (LLMs) are rapidly transforming medical writing and publishing.
This review article focuses on experimental evidence to provide a comprehensive overview …
This review article focuses on experimental evidence to provide a comprehensive overview …
Beyond Accuracy: Investigating Error Types in GPT-4 Responses to USMLE Questions
GPT-4 demonstrates high accuracy in medical QA tasks, leading with an accuracy of
86.70%, followed by Med-PaLM 2 at 86.50%. However, around 14% of errors remain …
86.70%, followed by Med-PaLM 2 at 86.50%. However, around 14% of errors remain …
Evaluation of GPT Large Language Model Performance on RSNA 2023 Case of the Day Questions
Background GPT-4V (GPT-4 with vision, ChatGPT; OpenAI) has shown impressive
performance in several medical assessments. However, few studies have assessed its …
performance in several medical assessments. However, few studies have assessed its …
Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions
LLMs have demonstrated impressive performance in answering medical questions, such as
passing medical licensing examinations. However, most existing benchmarks rely on board …
passing medical licensing examinations. However, most existing benchmarks rely on board …
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports
In radiology, Artificial Intelligence (AI) has significantly advanced report generation, but
automatic evaluation of these AI-produced reports remains challenging. Current metrics …
automatic evaluation of these AI-produced reports remains challenging. Current metrics …
[HTML][HTML] A Review of Ophthalmology Education in the Era of Generative Artificial Intelligence
Purpose To explore the integration of generative AI, specifically large language models
(LLMs), in ophthalmology education and practice, addressing their applications, benefits …
(LLMs), in ophthalmology education and practice, addressing their applications, benefits …
Performance of Advanced Large Language Models (GPT-4o, GPT-4, Gemini 1.5 Pro, Claude 3 Opus) on Japanese Medical Licensing Examination: A Comparative …
M Liu, T Okuhara, Z Dai, W Huang, H Okada, F Emi… - medRxiv, 2024 - medrxiv.org
Study aims and objectives This study aims to evaluate the accuracy of medical knowledge in
the most advanced LLMs (GPT-4o, GPT-4, Gemini 1.5 Pro, and Claude 3 Opus) as of 2024 …
the most advanced LLMs (GPT-4o, GPT-4, Gemini 1.5 Pro, and Claude 3 Opus) as of 2024 …
Ethical considerations for large language models in ophthalmology
The integration of LLMs in ophthalmology offers potential advantages such as aiding in
clinical decision support and facilitating medical education through their ability to process …
clinical decision support and facilitating medical education through their ability to process …