聊天机器人辅助肿瘤精准治疗决策。

IF 4.2 2区医学 Q1 ONCOLOGY

Oncologist Pub Date : 2025-10-01 DOI:10.1093/oncolo/oyaf316

Hannah Burnette, Kylie Fletcher, Christine Micheel, Ben Ho Park, Daniel H Johnson, John Cole, Kevan Simms, Marc Matrana, Douglas B Johnson

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引用次数: 0

摘要

人工智能聊天机器人在医疗环境中显示出了前景，但它们解释复杂分子数据的能力尚不清楚。在这里，我们用临床和分子数据评估了50种不同的患者情况，发现聊天机器人提供了大多数准确和全面的建议，尽管偶尔会遗漏关键的治疗方案，并且在具有多种突变的情况下推荐非数据驱动的治疗。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Chatbot assistance in precision oncology treatment decision-making.

Artificial intelligence chatbots have shown promise in medical settings, but their ability to interpret complex molecular data is not clear. Here, we assessed 50 different patient scenarios with clinical and molecular data and found that chatbots provided mostly accurate and comprehensive recommendations, although key treatment options were omitted occasionally, and non-data driven treatments were recommended in cases with multiple mutations.

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来源期刊

Oncologist 医学-肿瘤学

CiteScore

10.40

自引率

3.40%

发文量

309

审稿时长

3-8 weeks

期刊介绍： The Oncologist® is dedicated to translating the latest research developments into the best multidimensional care for cancer patients. Thus, The Oncologist is committed to helping physicians excel in this ever-expanding environment through the publication of timely reviews, original studies, and commentaries on important developments. We believe that the practice of oncology requires both an understanding of a range of disciplines encompassing basic science related to cancer, translational research, and clinical practice, but also the socioeconomic and psychosocial factors that determine access to care and quality of life and function following cancer treatment.