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Redefining Digital Health Interfaces with Large Language Models
March 1, 2024, 5:49 a.m. | Fergus Imrie, Paulius Rauba, Mihaela van der Schaar
cs.CL updates on arXiv.org arxiv.org
Abstract: Digital health tools have the potential to significantly improve the delivery of healthcare services. However, their adoption remains comparatively limited due, in part, to challenges surrounding usability and trust. Large Language Models (LLMs) have emerged as general-purpose models with the ability to process complex information and produce human-quality text, presenting a wealth of potential applications in healthcare. Directly applying LLMs in clinical settings is not straightforward, however, with LLMs susceptible to providing inconsistent or nonsensical …
abstract adoption arxiv challenges cs.cl delivery digital digital health general health healthcare information interfaces language language models large language large language models llms part process services tools trust type usability
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