What are the Challenges of Using Multilingual Models in Epidemiology?
Despite their advantages, multilingual models face several challenges. One major issue is data quality. Inconsistent or biased data can lead to incorrect conclusions. Additionally, the complexity of medical terminology across different languages can pose difficulties. Ensuring that these models are accurate and unbiased requires constant monitoring and validation.