Update README.md

README.md

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 - text_maxlength: 1024
 
 ### Bias, Risk and Limitation
-Our model is trained on artificially generated contextual documents which may inadvertently amplify inherent biases and deviate from clinical and societal norms, potentially leading to the dissemination of convincing medical misinformation.
-Therefore, we advocate for a cautious approach, recommending manual scrutiny of any output by domain experts before real-world utilization. This ethical precaution is vital to avoid disseminating potentially erroneous or misleading information, especially in the clinical and scientific communities.
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+Our model is trained on artificially generated contextual documents, which might inadvertently magnify inherent biases and depart from clinical and societal norms. This could lead to the spread of convincing medical misinformation. To mitigate this risk, we recommend a cautious approach: domain experts should manually review any output before real-world use. This ethical safeguard is crucial to prevent the dissemination of potentially erroneous or misleading information, particularly within clinical and scientific circles.