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20212023
most citedAssessing the communication gap between AI models and healthcare professionals: explainability, utility and trust in AI-driven clinical decision-making

153 citations · 181 across the 9 of their papers we have counts for

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cs.CL2023★ 4 cited

SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data

Maël Jullien, Marco Valentino, Hannah Frost +3

This paper describes the results of SemEval 2023 task 7 -- Multi-Evidence Natural Language Inference for Clinical Trial Data (NLI4CT) -- consisting of 2 tasks, a Natural Language I…

cs.CL2023★ 1 cited

NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports

Maël Jullien, Marco Valentino, Hannah Frost +3

How can we interpret and retrieve medical evidence to support clinical decisions? Clinical trial reports (CTR) amassed over the years contain indispensable information for the deve…