

Oculichatda
Overview :
OculiChatDA is an ophthalmological chatbot large model designed to assist patients with preliminary diagnoses through conversational interaction and offer reasonable medical advice. It possesses image-reading capabilities, allowing it to analyze fundus photographs to identify potential cases of glaucoma or diabetic retinopathy. This model supports multi-turn dialogues across various scenarios, including consultations, inquiries, and casual conversations. It strives to address the issue of uneven medical resource distribution by providing timely and convenient medical services to a wider range of patients.
Target Users :
OculiChatDA is designed for patients who require ophthalmological medical consultations, especially those living in areas with limited access to medical resources. By leveraging intelligent conversational diagnosis, OculiChatDA aims to reduce the inconvenience of seeking medical attention, providing preliminary medical advice and diagnoses to help patients better understand their health conditions.
Use Cases
Patients can inquire about ophthalmology-related issues through the system and receive professional answers.
The system can identify potential eye diseases by analyzing patients' uploaded fundus images and provide reminders for medical attention.
Doctors can utilize the system for remote consultations, offering preliminary diagnoses and advice to patients.
Features
Multi-turn dialogue support, adaptable to different consultation scenarios.
Fundus image recognition, identifying potential glaucoma or diabetic retinopathy.
Dataset includes common ophthalmological consultation questions, providing accurate answers.
Model training utilizes msagent data, enhancing tool invocation capabilities.
Supports identification of up to 4 disease types, expanding diagnostic range.
Web Demo demonstration allows for a direct and intuitive user experience of the model's functionality.
How to Use
Visit the OculiChatDA Web Demo page.
Input the patient's symptoms or questions following the system's prompts.
Upload a fundus image for automatic analysis and diagnostic suggestions.
Gain insights into the condition based on the system's responses and determine the need for further medical attention.
Engage in multi-turn conversations to obtain more detailed medical consultation and advice.
Explore the Web Demo to learn about the model's other features and usage methods.
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