使用生成式人工智能进行医学摘要的安全原则

IF 58.7 1区医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY

Nature Medicine Pub Date : 2024-10-22 DOI:10.1038/s41591-024-03313-y

Dillon Obika, Christopher Kelly, Nicola Ding, Chris Farrance, Jonathan Krause, Praney Mittal, Donny Cheung, Heather Cole-Lewis, Madeleine Elish, Alan Karthikesalingam, Dale Webster, Bakul Patel, Michael Howell

引用次数: 0

摘要

谷歌在开发 MedLM 的过程中发现，风险管理流程是保护患者安全的重要工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Safety principles for medical summarization using generative AI

Google’s development of MedLM found that risk management processes were an essential tool to protect patient safety.

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来源期刊

Nature Medicine 医学-生化与分子生物学

CiteScore

100.90

自引率

0.70%

发文量

525

审稿时长

1 months

期刊介绍： Nature Medicine is a monthly journal publishing original peer-reviewed research in all areas of medicine. The publication focuses on originality, timeliness, interdisciplinary interest, and the impact on improving human health. In addition to research articles, Nature Medicine also publishes commissioned content such as News, Reviews, and Perspectives. This content aims to provide context for the latest advances in translational and clinical research, reaching a wide audience of M.D. and Ph.D. readers. All editorial decisions for the journal are made by a team of full-time professional editors. Nature Medicine consider all types of clinical research, including: -Case-reports and small case series -Clinical trials, whether phase 1, 2, 3 or 4 -Observational studies -Meta-analyses -Biomarker studies -Public and global health studies Nature Medicine is also committed to facilitating communication between translational and clinical researchers. As such, we consider “hybrid” studies with preclinical and translational findings reported alongside data from clinical studies.