Inclusive AI for radiology: Optimising ChatGPT-4 with advanced prompt engineering DOI

Juhi Yasmeen,

Md. Tauseef Qamar,

Subuhi Yasmeen

и другие.

Clinical Imaging, Год журнала: 2024, Номер 118, С. 110385 - 110385

Опубликована: Дек. 6, 2024

Язык: Английский

Prompting large language models for inner gains in radiology studies DOI
Partha Pratim Ray

Clinical Imaging, Год журнала: 2025, Номер 120, С. 110422 - 110422

Опубликована: Фев. 6, 2025

Язык: Английский

Процитировано

0

Evaluating Adherence to Canadian Radiology Guidelines for Incidental Hepatobiliary Findings Using RAG-Enabled LLMs DOI Creative Commons
Nicholas Dietrich,

Brett Stubbert

Canadian Association of Radiologists Journal, Год журнала: 2025, Номер unknown

Опубликована: Фев. 27, 2025

Purpose: Large language models (LLMs) have the potential to support clinical decision-making but often lack training on latest guidelines. Retrieval-augmented generation (RAG) may enhance guideline adherence by dynamically integrating external information. This study evaluates performance of two LLMs, GPT-4o and o1-mini, with without RAG, in adhering Canadian radiology guidelines for incidental hepatobiliary findings. Methods: A customized RAG architecture was developed integrate guideline-based recommendations into LLM prompts. Clinical cases were curated used prompt RAG. Primary analyses assessed rate comparisons made between LLMs Secondary evaluated reading ease, grade level, response times generated outputs. Results: total 319 evaluated. Adherence rates 81.7% 97.2% 79.3% o1-mini 95.1% Model differed significantly across groups, RAG-enabled configurations outperforming their non-RAG counterparts ( P < .05). demonstrated improved ease lower level scores; however, all model outputs remained at advanced comprehension levels. Response increased slightly due additional retrieval processing clinically acceptable. Conclusions: findings compromising readability or times. approach holds promise advancing evidence-based care warrants further validation broader settings.

Язык: Английский

Процитировано

0

High identification and positive‐negative discrimination but limited detailed grading accuracy of ChatGPT‐4o in knee osteoarthritis radiographs DOI Open Access

J. Zhu,

Yinuo Jiang,

Daosen Chen

и другие.

Knee Surgery Sports Traumatology Arthroscopy, Год журнала: 2025, Номер unknown

Опубликована: Март 7, 2025

Язык: Английский

Процитировано

0

Optimizing ChatGPT-4's radiology performance with scale-invariant feature transform and advanced prompt engineering DOI

Sultan Alam,

Abdul Rahman, Shahab Saquib Sohail

и другие.

Clinical Imaging, Год журнала: 2024, Номер 118, С. 110368 - 110368

Опубликована: Ноя. 28, 2024

Язык: Английский

Процитировано

1

Inclusive AI for radiology: Optimising ChatGPT-4 with advanced prompt engineering DOI

Juhi Yasmeen,

Md. Tauseef Qamar,

Subuhi Yasmeen

и другие.

Clinical Imaging, Год журнала: 2024, Номер 118, С. 110385 - 110385

Опубликована: Дек. 6, 2024

Язык: Английский

Процитировано

0