泌尿病学的生成人工智能:在伦理,法律和临床挑战的边界上进行导航
Waqas Khalil1, Mazhar Sheikh1, Jawad U Islam1
1Urology, Blackpool Teaching Hospitals, Blackpool, GBR.
Cureus
|December 19, 2025
概括
生成型人工智能 (AI) 在泌尿病学中为教育和临床支持提供了变革性的潜力. 然而,仔细整合至关重要,以减轻偏见等风险,并确保泌尿器科护理中的患者安全.
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 人工智能的人工智能
- 医疗技术 医疗技术 医学技术
背景情况:
- 包括大型语言模型和图像生成工具在内的生成性人工智能 (AI) 正在成为医学领域的变革力量.
- 这些先进的AI技术超越了分析能力,创造了新的内容,影响了各种医学领域.
研究的目的:
- 审查生成性AI在泌尿病学中的当前应用.
- 批判性地检查生成性AI在泌尿病实践中所带来的独特的伦理,法律和临床挑战.
- 提出一个框架,以负责任地将生成AI整合到泌尿病临床工作流程中.
主要方法:
- 对目前泌尿病学中生成性AI应用的系统审查.
- 对学科特定风险进行批判性分析,包括隐私,偏见和准确性.
- 为负责任的人工智能集成制定结构化的框架.
主要成果:
- 生成型人工智能能够在泌尿病学中实现创新的应用,例如自动化患者病史总结,3D解剖重建,以及对前列腺癌等疾病的诊断支持.
- 显著的风险包括隐私侵犯,算法偏见和潜在的"幻觉"输出,危及患者安全.
- 为了安全实施,提出了一个强调透明治理,偏见缓解,验证和合作的框架.
结论:
- 生成型人工智能为通过新型应用增强泌尿器科护理提供了巨大的机会.
- 解决伦理,法律和临床挑战,特别是关于数据隐私和算法准确性的问题,至关重要.
- 通过强有力的验证和跨学科合作,负责任的整合至关重要,以确保人工智能有利于泌尿器官质量,公平性和安全性.
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