A comprehensive survey of large language models and multimodal large language models in medicine

H Xiao, F Zhou, X Liu, T Liu, Z Li, X Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
Since the release of ChatGPT and GPT-4, large language models (LLMs) and multimodal
large language models (MLLMs) have garnered significant attention due to their powerful …

Potential of GPT-4 for Detecting Errors in Radiology Reports: Implications for Reporting Accuracy

RJ Gertz, T Dratsch, AC Bunck, S Lennartz, AI Iuga… - Radiology, 2024 - pubs.rsna.org
Background Errors in radiology reports may occur because of resident-to-attending
discrepancies, speech recognition inaccuracies, and large workload. Large language …

Large Language Models for Automated Synoptic Reports and Resectability Categorization in Pancreatic Cancer

R Bhayana, B Nanda, T Dehkharghanian, Y Deng… - Radiology, 2024 - pubs.rsna.org
Background Structured radiology reports for pancreatic ductal adenocarcinoma (PDAC)
improve surgical decision-making over free-text reports, but radiologist adoption is variable …

Evaluation of Reliability, Repeatability, Robustness, and Confidence of GPT-3.5 and GPT-4 on a Radiology Board–style Examination

S Krishna, N Bhambra, R Bleakney, R Bhayana - Radiology, 2024 - pubs.rsna.org
Background ChatGPT (OpenAI) can pass a text-based radiology board–style examination,
but its stochasticity and confident language when it is incorrect may limit utility. Purpose To …

Deep Learning in Breast Cancer Imaging: State of the Art and Recent Advancements in Early 2024

A Carriero, L Groenhoff, E Vologina, P Basile, M Albera - Diagnostics, 2024 - mdpi.com
The rapid advancement of artificial intelligence (AI) has significantly impacted various
aspects of healthcare, particularly in the medical imaging field. This review focuses on …

Zero-, single-, and few-shot learning in large language models to identify incidental findings from radiology reports

E Kaba - American Journal of Roentgenology, 2024 - Am Roentgen Ray Soc
I read w (th great (nterest and cur (os (ty the art (cle t (tled" Use of GPT-4 W (th S (ngle-Shot
Learn (ng to Ident (fy Inc (dental F (nd (ngs (n Rad (ology Reports" publ (shed onl (ne (n …

Patient-centered radiology reports with generative artificial intelligence: adding value to radiology reporting

J Park, K Oh, K Han, YH Lee - Scientific Reports, 2024 - nature.com
The purposes were to assess the efficacy of AI-generated radiology reports in terms of report
summary, patient-friendliness, and recommendations and to evaluate the consistent …

Diagnostic accuracy of vision-language models on Japanese diagnostic radiology, nuclear medicine, and interventional radiology specialty board examinations

T Oura, H Tatekawa, D Horiuchi, S Matsushita… - Japanese Journal of …, 2024 - Springer
Purpose The performance of vision-language models (VLMs) with image interpretation
capabilities, such as GPT-4 omni (GPT-4o), GPT-4 vision (GPT-4V), and Claude-3, has not …

Large Language Models as an Inexpensive and Effective Extra Set of Eyes in Radiology Reporting

HP Forman - Radiology, 2024 - pubs.rsna.org
Dr Forman is a professor of radiology, economics, public health, and management at Yale
University. He is known for his role in developing national leaders in health care, developing …

ChatGPT's diagnostic performance based on textual vs. visual information compared to radiologists' diagnostic performance in musculoskeletal radiology

D Horiuchi, H Tatekawa, T Oura, T Shimono… - European …, 2024 - Springer
Objectives To compare the diagnostic accuracy of Generative Pre-trained Transformer (GPT)-
4-based ChatGPT, GPT-4 with vision (GPT-4V) based ChatGPT, and radiologists in …