Black Box Warning: Large Language Models and the Future of Infectious Diseases Consultation.

dc.contributor.author

Schwartz, Ilan S

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Link, Katherine E

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Daneshjou, Roxana

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Cortés-Penfield, Nicolás

dc.date.accessioned

2023-12-01T14:36:39Z

dc.date.available

2023-12-01T14:36:39Z

dc.date.issued

2023-11

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2023-12-01T14:36:39Z

dc.description.abstract

Large language models (LLMs) are artificial intelligence systems trained by deep learning algorithms to process natural language and generate text responses to user prompts. Some approach physician performance on a range of medical challenges, leading some proponents to advocate for their potential use in clinical consultation and prompting some consternation about the future of cognitive specialties. However, LLMs currently have limitations that preclude safe clinical deployment in performing specialist consultations, including frequent confabulations, lack of contextual awareness crucial for nuanced diagnostic and treatment plans, inscrutable and unexplainable training data and methods, and propensity to recapitulate biases. Nonetheless, considering the rapid improvement in this technology, growing calls for clinical integration, and healthcare systems that chronically undervalue cognitive specialties, it is critical that infectious diseases clinicians engage with LLMs to enable informed advocacy for how they should-and shouldn't-be used to augment specialist care.

dc.identifier

7424520

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1058-4838

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1537-6591

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https://hdl.handle.net/10161/29435

dc.language

eng

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Oxford University Press (OUP)

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Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

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10.1093/cid/ciad633

dc.subject

ChatGPT

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artificial intelligence

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chatbot

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natural language processing

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workforce

dc.title

Black Box Warning: Large Language Models and the Future of Infectious Diseases Consultation.

dc.type

Journal article

duke.contributor.orcid

Schwartz, Ilan S|0000-0002-7522-0281

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ciad633

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Duke

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School of Medicine

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Clinical Science Departments

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Medicine

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Medicine, Infectious Diseases

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Published

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