使用ChatGPT来预测癌症倾向基因:为儿科瘤学家提供一个有希望的工具
Iyad Sultan1, Haneen Al-Abdallat2, Zaina Alnajjar3
1Department of Pediatrics, King Hussein Cancer Center, Amman, JOR.
Cureus
|November 29, 2023
概括
从临床笔记中,ChatGPT可以预测癌症倾向基因 (CPG),与遗传临床笔记显示高准确度. 这种人工智能工具有助于癌症风险评估和基因测试,特别是在资源有限的地方.
科学领域:
- 基因组学就是基因组学.
- 人工智能在医学中的应用
- 临床遗传学 临床遗传学
背景情况:
- 对癌症倾向综合征 (CPS) 的遗传敏感性测试对于量身定制的预防和监测至关重要.
- 识别癌症倾向基因 (CPG) 有助于管理遗传性癌症风险.
- 这项研究评估了ChatGPT在从患者临床笔记中预测CPG方面的实用性.
研究的目的:
- 根据临床笔记,评估ChatGPT在识别癌症倾向基因 (CPG) 中的准确性.
- 使用不同类型的临床文档来比较ChatGPT的性能.
主要方法:
- 利用了53名已知具有致病性CPG突变的患者的临床笔记.
- 输入首次访问笔记和遗传诊所笔记到ChatGPT中进行CPG预测.
- 将ChatGPT的基因预测与已确认的突变进行比较.
主要成果:
- 通过基因诊所笔记 (中位数为54个字) 来预测CPG,ChatGPT实现了93%的准确性.
- 使用较长的第一次访问笔记 (中位数为461字) 的表现下降到64%的准确性.
- 在某些情况下,错过了特定基因预测 (EPCAM,VHL).
结论:
- 从临床笔记中预测癌症倾向基因,特别是简短的遗传临床笔记中,ChatGPT显示出显著的潜力.
- 这种人工智能驱动的方法可以提高CPG测试的可访问性和效率.
- 进一步的研究和模型改进是必要的,以扩大临床应用.
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