Utility of Large Language Models to Produce a Patient-Friendly Summary From Oncology Consultations-Reference-Cited by-同舟云学术

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Utility of Large Language Models to Produce a Patient-Friendly Summary From Oncology Consultations

Published:2024-09 Issue:9 Volume:20 Page:1157-1159
ISSN:2688-1527
Container-title:JCO Oncology Practice
language:en
Short-container-title:JCO Oncol Pract

Author:

Holstead Ryan G.¹^ORCID

Affiliation:

1. UMass Memorial Medical Center

Abstract

LLMs can rewrite oncologic notes as plain-language summaries, which may aid communication and comprehension.

Publisher

American Society of Clinical Oncology (ASCO)

Link

https://ascopubs.org/doi/pdfdirect/10.1200/OP.24.00057

Reference16 articles.

1. Assessing the performance of ChatGPT in answering questions regarding cirrhosis and hepatocellular carcinoma

2. Can the ChatGPT and other large language models with internet-connected database solve the questions and concerns of patient with prostate cancer and help democratize medical knowledge?

3. Developing prompts from large language model for extracting clinical information from pathology and ultrasound reports in breast cancer

4. Evaluating GPT4 on Impressions Generation in Radiology Reports

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