医疗健康大语言模型的发展、挑战与对齐

Development,Challenges and Alignments of Large Language Models in Healthcare

目的/意义系统回顾和分析医疗健康大语言模型的发展、应用前沿、面临挑战以及对齐问题的研究现状,以期为推动其安全、有效和公平应用提供参考。方法/过程通过文献分析阐述大语言模型在医疗健康领域的发展和应用情况,分析其面临的挑战,从技术层面和社会层面提出应对策略。结果/结论医疗健康大语言模型应该尤其注意模型的准确性、安全性、可解释性、公平性、隐私性和可追责性,以完成模型对齐,满足伦理要求,提升患者福祉。

Purpose/Significance The paper systematically reviews and analyzes the development,cutting-edge applications,challenges and alignment issues of large language models(LLMs)in healthcare,so as to provide references for promoting the safe,effective and equitable application.Method/Process Through literature analysis,the development and application of LLMs in healthcare are expounded,the challenges faced are analyzed,and countermeasures are proposed from the technical and social aspects.Result/Conclusion LLMs in healthcare should prioritize truthfulness,safety,interpretability,fairness,privacy and accountability to realize model alignment,meet ethical requirements,and improve patients’welfare.