A5047643054- Social Media in Health Education
- Health Literacy and Information Accessibility
- Mobile Health and mHealth Applications
- Ocular Diseases and Behçet’s Syndrome
- Topic Modeling
- Retinal and Optic Conditions
- Retinal Imaging and Analysis
- FinTech, Crowdfunding, Digital Finance
- Electronic Health Records Systems
- Machine Learning in Healthcare
Fudan University
2022
Eye & ENT Hospital of Fudan University
2020
To demonstrate the identification of corneal diseases using a novel deep learning algorithm. A hierarchical network, which is composed family multi-task multi-label classifiers representing different levels eye derived from predefined disease taxonomy was designed. Next, we proposed multi-level disease-guided loss function to learn fine-grained variability features. The algorithm trained end-to-end directly 5,325 ocular surface images retrospective dataset. Finally, algorithm's performance...
Conversational agents (CAs) have been developed in outpatient departments to improve physician-patient communication efficiency. As end users, patients' continuance intention is essential for the sustainable development of CAs.The aim this study was facilitate successful usage CAs by identifying key factors influencing and proposing corresponding managerial implications.This proposed an extended expectation-confirmation model empirically tested via a cross-sectional field survey. The...
In China, receptionist nurses face overwhelming workloads in outpatient settings, limiting their time and attention for each patient ultimately reducing service quality. this paper, we present the Personalized Intelligent Outpatient Reception System (PIORS). This system integrates an LLM-based reception nurse a collaboration between LLM hospital information (HIS) into real setting, aiming to deliver personalized, high-quality, efficient services. Additionally, enhance performance of LLMs...
<sec> <title>BACKGROUND</title> Conversational agents(CAs) have been developed in outpatient departments to improve doctor-patient communication efficiency. As end users, patients’ continuance intention is essential for the sustainable development of agents. </sec> <title>OBJECTIVE</title> The aim this study was identify key factors influencing towards CAs and provide corresponding optimization strategies. <title>METHODS</title> This proposed an extended expectation-confirmation model...