Exploring the feasibility of conversational diagnostic AI in a real-world clinical study
Generative AI
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Correctly identifying when a medical finding is absent rather than present is crucial when working on this specific task (for example, extracting labels from radiology reports using CV) about the presence or absence of prespecified pathologies. This article aims to highlight radiology data annotation from the perspective of a data annotation company, examining what goes…
With their capacity to generate human-like content at a massive scale, LLMs are exposed to additional risks compared to traditional software systems. They can produce harmful responses, such as hallucinated content, various forms of toxic/ hate speech, copyrighted material, and personally identifiable information that is not meant to be shared. These kinds of failures can…