Sorbonne Université, Université Sorbonne Paris Nord, INSERM, Laboratoire d'Informatique Médicale et d'Ingénierie des connaissances en e-Santé, LIMICS, Paris, France.
Epita, Paris, France.
Stud Health Technol Inform. 2024 Aug 22;316:841-845. doi: 10.3233/SHTI240543.
The healthcare sector confronts challenges from overloaded tumor board meetings, reduced discussion durations, and care quality concerns, necessitating innovative solutions. Integrating Clinical Decision Support Systems (CDSSs) has a potential in supporting clinicians to reduce the cancer burden, but CDSSs remain poorly used in clinical practice. The emergence of OpenAI's ChatGPT in 2022 has prompted the evaluation of Large Language Models (LLMs) as potential CDSSs for diagnosis and therapeutic management. We conducted a scoping review to evaluate the utility of LLMs like ChatGPT as CDSSs in several medical specialties, particularly in oncology, and compared users' perception of LLMs with the actually measured performance of these systems.
医疗保健领域面临着肿瘤委员会会议负荷过重、讨论时间减少以及医疗质量问题的挑战，因此需要创新的解决方案。整合临床决策支持系统 (CDSS) 有可能帮助临床医生减轻癌症负担，但 CDSS 在临床实践中仍未得到充分利用。2022 年 OpenAI 的 ChatGPT 的出现促使人们评估大型语言模型 (LLM) 是否可作为诊断和治疗管理的潜在 CDSS。我们进行了范围综述，以评估像 ChatGPT 这样的 LLM 在多个医学专业领域（特别是肿瘤学）作为 CDSS 的效用，并比较了用户对 LLM 的看法与这些系统的实际性能。
