构建可信医学大模型的路线图.pdf

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2、影像医疗资源优化医疗文本处理YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP20243Challenge:医疗大模型的评估困难Guiming Hardy Chen,Shunian Chen,Ruifei Zhang,Junying Chen,Xiangbo Wu,Zhiyi Zhang,Zhihong Chen,Jianquan Li,Xiang Wan,Benyou Wang.ALLaVA:Harnessing GPT4V-synthesized Data for A

3、Lite Vision-Language Model.https:/arxiv.org/abs/2402.11684华佗GPTGPT-4QwenYSSNLP2024YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP2024Chat like a doctorAccuracy of professional knowledge Medical diagnosis and clinical decision makingWe are picking the low-hanging lycheeHu

4、atuoGPTHuatuoGPT-IIPass some examsChallenge:鲁棒的医疗诊断和医疗决策任重道远YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP20245Select a well-defined problemDesterata：-不与医生竞争，服务医生-评估客观简单可复现-更大的受众，可以服务更广泛的社会-achievable in a few yearsYSSNLP2024YSSNLP2024YSSNLP2024YSSNLP2024YSSNL

5、P2024YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP20246Standpoint:LLM for Doctors not as DoctorsWenya Xie,et.al.Benyou Wang。LLMs as for Doctors:Leveraging Medical LLMs to Assist Doctors,Not Replace Them。in ProgressYSSNLP2024YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP2024YSSNLP20247Prob

6、lem Definition Definition：-Given a user with implicit/emplicit information-Goal：predict a label（分类任务：科室/开药/诊断）-Key-The system could actively ask followup questions to reduce uncertainty-The user could lose patience if with too many interactions科室分类是一个最容易来验证的场景！作为一个GMAI的sandboxYSSNLP2024YSSNLP2024YSS