人工智能在瘤学中的实施:在全球范围内对教育和临床整合进行系统审查
Talia Tene1, Diego Fabián Vique López2, Paulina Elizabeth Valverde Aguirre3
1Department of Chemistry, Universidad Técnica Particular de Loja, Loja, Ecuador.
Frontiers in digital health
|February 20, 2026
概括
人工智能 (AI) 通过提供个性化的学习体验来增强瘤学教育. 人工智能工具,特别是大型语言模型聊天机器人,改善了医疗保健专业人员和患者的知识保留和诊断技能.
科学领域:
- 在瘤学瘤学.
- 医学教育 医学教育
- 人工智能的人工智能
背景情况:
- 全球癌症负担和医疗保健获取差异引发了对瘤学人工智能的兴趣.
- 在瘤学教育中整合人工智能对于培养未来医疗保健专业人员至关重要.
研究的目的:
- 系统地分析AI在瘤学教育和临床实践中的全球整合.
- 突出人工智能在培训医疗保健专业人员的瘤学方面的作用.
主要方法:
- 按照PRISMA和PICO指南进行系统审查.
- 在PubMed,Scopus和IEEE Xplore中搜索了2019-2024年的研究.
- 包括基于人工智能的瘤学教育干预措施的经验评估,提取绩效,参与度和技能发展结果.
主要成果:
- 人工智能工具,包括大型语言模型聊天机器人 (例如,ChatGPT),越来越多地用于患者和专业瘤学教育.
- 观察到的积极结果包括增强的知识保留,改进的诊断推理和增加的参与.
结论:
- 人工智能正在通过个性化和可访问的学习来彻底改变癌症教育.
- 战略性人工智能集成,验证和公平访问是瘤学全球影响的关键.
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