ChatGPT in precision medicine.

IF 4.1 3区医学 Q1 ENGINEERING, BIOMEDICAL

APL Bioengineering Pub Date : 2026-03-17 eCollection Date: 2026-03-01 DOI:10.1063/5.0299327

Chengliang Yin, Xiaochun Sun, Anlin Dai, Xin-Yao Ye, Yi Lu, Wanling Wang, Yuanyuan Chen, Hong Jiang, Juan Yu, Siomui Chong, Mingming Jiang, Jiayu Xu, Bing Yang, Rajeswari Chappa, Santosh Chokkakula, Kunlun He

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Abstract

The integration of artificial intelligence, notably the generative language model ChatGPT, into precision medicine precedes a paradigm shift in healthcare. This Review explores the capabilities of ChatGPT to process large data sets, understand contextual details, and generate human-like responses, making it a transformative tool for various applications in precision medicine. By analyzing the genetic sequences, identifying biomarkers, and predicting disease risks, ChatGPT facilitates earlier diagnosis and intervention. Moreover, its natural language processing capabilities enhance patient communication and engagement by elucidating complex medical concepts. This Review further examines ChatGPT's role in streamlining research, augmenting clinical trial recruitment, and supporting healthcare professionals through access to updated information and skill assessment. While acknowledging the complexities and potential concerns regarding reliance on publicly sourced data, this Review highlights ChatGPT's substantial capacity to optimize patient prognoses and enhance the operational efficacy of the healthcare delivery system.

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精准医疗中的ChatGPT。

将人工智能（尤其是生成语言模型ChatGPT）整合到精准医学中，预示着医疗保健领域的范式转变。这篇综述探讨了ChatGPT处理大型数据集、理解上下文细节和生成类似人类的反应的能力，使其成为精准医疗中各种应用的变革性工具。通过分析基因序列、识别生物标志物和预测疾病风险，ChatGPT有助于早期诊断和干预。此外，它的自然语言处理能力通过阐明复杂的医学概念来增强患者的沟通和参与。这篇综述进一步探讨了ChatGPT在简化研究、增加临床试验招募以及通过访问更新的信息和技能评估来支持医疗保健专业人员方面的作用。在承认依赖公开来源数据的复杂性和潜在问题的同时，本综述强调了ChatGPT在优化患者预后和提高医疗保健服务系统运行效率方面的巨大能力。

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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来源期刊

APL Bioengineering ENGINEERING, BIOMEDICAL-

CiteScore

9.30

自引率

6.70%

发文量

审稿时长

19 weeks

期刊介绍： APL Bioengineering is devoted to research at the intersection of biology, physics, and engineering. The journal publishes high-impact manuscripts specific to the understanding and advancement of physics and engineering of biological systems. APL Bioengineering is the new home for the bioengineering and biomedical research communities. APL Bioengineering publishes original research articles, reviews, and perspectives. Topical coverage includes: -Biofabrication and Bioprinting -Biomedical Materials, Sensors, and Imaging -Engineered Living Systems -Cell and Tissue Engineering -Regenerative Medicine -Molecular, Cell, and Tissue Biomechanics -Systems Biology and Computational Biology