Robert Tinn — accepted AI-conference papers

2023

Efficient Diagnosis Assignment Using Unstructured Clinical Notes

Louis Blankemeier, Jason Fries, Robert Tinn, Joseph Preston, Nigam Shah, Akshay Chaudhari

ACL 2023short

Electronic phenotyping entails using electronic health records (EHRs) to identify patients with specific health outcomes and determine when those outcomes occurred. Unstructured clinical notes, which contain a vast amount of information, are a valuable resource for electronic phenotyping. However, t…

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2023

Exploring the Boundaries of GPT-4 in Radiology

Qianchu Liu, Stephanie Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Maria Teodora Wetscherek +13

EMNLP 2023long main

The recent success of general-domain large language models (LLMs) has significantly changed the natural language processing paradigm towards a unified foundation model across domains and applications. In this paper, we focus on assessing the performance of GPT-4, the most capable LLM so far, on the…

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