人工生成智能的出现及其对泌尿病学的潜在影响
Mohamed Javid1, Madhu Reddiboina2, Mahendra Bhandari3
1Department of Urology, Chengalpattu Medical College, Chengalpattu, India.
The Canadian journal of urology
|August 26, 2023
概括
人工生成智能 (AGI) 和大型语言模型 (LLM) 在泌尿病学中显示出用于诊断和教育的前景. 持续的人际交互和验证对于这些AI工具的安全有效的临床实施至关重要.
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
- 医疗信息学 医疗信息学
背景情况:
- 人工生成智能 (AGI) 和大型语言模型 (LLM) 在医疗保健领域的影响力越来越大.
- 泌尿病学将从这些先进的人工智能技术的变革潜力中受益显著.
研究的目的:
- 审查AGI和LLM在泌尿病学中的应用和影响.
- 突出人类-人工智能合作的必要性,以验证和完善这些工具的临床使用.
主要方法:
- 对电子数据库进行全面的文献搜索,用于医疗保健中的AGI和LLM应用.
- 结合与ChatGPT和GPT-4的实践经验,包括案例报告和构造.
主要成果:
- 确定了差异诊断,治疗优先级和泌尿科医生和患者的医学教育方面的潜在应用.
- 强调了当前对验证的需求,人类对学习的反,以及解决人工智能"幻觉"和患者保密的问题.
- 为当前的局限性提出了补救措施,并强调了人工智能开发中人类互动的重要性.
结论:
- AGI和LLMs可以彻底改变泌尿病学,但需要仔细整合和验证.
- 泌尿科医生必须积极参与培训和开发这些人工智能工具,以确保有效性和安全性.
- 临床医生和人工智能开发人员之间的合作对于克服挑战和充分利用人工智能在泌尿病学中的潜力至关重要,这可能会改善工作与生活的平衡.
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