GARDE-Chat: a scalable, open-source platform for building and deploying health chatbots [0.03%]
GARDE-Chat：一个用于构建和部署健康聊天机器人的可扩展开源平台
Guilherme Del Fiol,Emerson Borsato,Richard L Bradshaw et al.
Guilherme Del Fiol et al.
Background: Chatbots are increasingly used to deliver health education, patient engagement, and access to healthcare services. GARDE-Chat is an open-source platform designed to facilitate the development, deployment, and ...
Structural insights into clinical large language models and their barriers to translational readiness [0.03%]
临床大型语言模型及其转化应用障碍的结构洞察
Jiwon You,Hangsik Shin
Jiwon You
Background: Despite rapid integration into clinical decision-making, clinical large language models (LLMs) face substantial translational barriers due to insufficient structural characterization and limited external valid...
Interdisciplinary development and application of computational methods in informatics for clinical applications [0.03%]
临床应用的生物医学信息学计算方法的跨学科研发和应用
David Albers,Kenrick Cato,Anita Layton et al.
David Albers et al.
Clinical decision support for population health management: development and validation of integrated acuity and intervention prediction models [0.03%]
临床决策支持在公共卫生管理中的应用：综合危重程度和介入预测模型的开发与验证
Sanjay Basu,Sadiq Y Patel,Parth Sheth et al.
Sanjay Basu et al.
Objective: Population health management programs coordinate care for over 80 million Medicaid beneficiaries but lack systematic clinical decision support for determining when to intervene and which interventions to select...
Toward semantic interoperability of imaging and clinical data: reflections on the DICOM-OMOP integration framework [0.03%]
面向影像和临床数据语义互操作性的展望：关于DICOM-OMOP集成框架的思考
Weihao Cheng,Zekai Yu
Weihao Cheng
Ethical considerations for clinical adoption of ambient digital scribe technology [0.03%]
关于环境数字记录员技术临床上应用的伦理考量
Taylor N Anderson,Vishnu Mohan,Jeffrey A Gold
Taylor N Anderson
Background and significance: Ambient digital scribe (ADS) platforms, which combine ambient speech recognition and large language models to generate clinical documentation, are currently undergoing rapid clinical adoption....
Response to "toward semantic interoperability of imaging and clinical data: reflections on the DICOM-OMOP integration framework" [0.03%]
对“影像和临床数据语义互操作性：DICOM-OMOP集成框架反思”的回应
Woo Yeon Park,Teri Sippel Schmidt,Gabriel Salvador et al.
Woo Yeon Park et al.
Benjamin D Wissel,Zana Percy,Tanner J Zachem et al.
Benjamin D Wissel et al.
Objective: To understand the heterogeneous treatment effects of electronic alerts for acute kidney injury (AKI). Materials and methods: ...
Multi-site analysis of COVID-19 and new-onset diabetes reveals need for improved sensitivity of EHR-based COVID-19 phenotypes-a DiCAYA network analysis [0.03%]
多中心分析COVID-19与新发糖尿病的关系发现需提高基于电子健康记录的新冠肺炎表型的敏感性——DiCAYA网络研究
Sarah Conderino,H Lester Kirchner,Lorna E Thorpe et al.
Sarah Conderino et al.
Objective: We discuss implications of potential ascertainment biases for studies examining diabetes risk following SARS-CoV-2 infection using electronic health records (EHRs). We quantitatively explore sensitivity of resu...
AutoReporter: development of an artificial intelligence tool for automated assessment of research reporting guideline adherence [0.03%]
自动报告评价工具AutoReporter的开发应用于研究报道指南依从性的评估
David Chen,Patrick Li,Ealia Khoshkish et al.
David Chen et al.
Objectives: To develop AutoReporter, a large language model (LLM) system that automates evaluation of adherence to research reporting guidelines. Material...