File size: 1,221 Bytes
8cf4efe
 
 
 
 
 
 
 
755e016
8cf4efe
 
99afc9a
 
556ba8c
 
755e016
556ba8c
f2a466d
d638654
 
 
 
 
 
 
 
 
 
 
 
 
f4ddef7
 
f2a466d
d638654
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
---
title: README
emoji: 🐨
colorFrom: red
colorTo: indigo
sdk: static
pinned: true
thumbnail: >-
  https://cdn-uploads.huggingface.co/production/uploads/653c43909d0209606188bf6f/dH38nH91WENF12HCmK_YS.png
---

 
# VietMed Team 💕

<p align="center">
  <img src="https://cdn-uploads.huggingface.co/production/uploads/653c43909d0209606188bf6f/dH38nH91WENF12HCmK_YS.png" alt="Vietnam Flag" width="200"/>
</p>

**VietMed** is a pan-Vietnamese research team led by [Khai Le-Duc at University of Toronto](https://github.com/leduckhai) focused on developing **Multilingual Multimodal Multipurpose models, datasets, and evaluation benchmarks** to support medical AI research.  
Our mission is to advance safe, open, and responsible medical AI for Vietnamese and other low-resource languages.


### 🔬 Research-Focused Overview
**VietMed** conducts research with an emphasis on:

- Multimodal LLMs for medicine  
- Clinical reasoning and medical knowledge representation  
- High-quality medical dataset curation  
- Safety and reliability  
- Hallucination detection and mitigation  

---

This is a space for developers. Check official releases on [https://huggingface.co/leduckhai](https://huggingface.co/leduckhai).

---