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人工智能辅助内镜的机遇和挑战以及食道状细胞癌的高质量数据
Ken Kurisaki1, Shinichiro Kobayashi2, Taro Akashi3
1Department of Surgery, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki 852-8501, Japan.
World journal of gastrointestinal oncology
|January 29, 2026
概括
人工智能 (AI) 在食道癌症管理方面表现有前途,特别是用于查和诊断的AI辅助内镜. 成功的整合需要高质量的数据,多样化的验证,以及人工智能作为内镜师的支持工具.
科学领域:
- 在瘤学瘤学.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 消化管癌的治疗主要依赖于内镜检查和诊断,特别是在日本.
- 人工智能 (AI) 在这个领域具有潜在的进步.
- 人工智能的临床适应面临着几个翻译挑战.
研究的目的:
- 审查人工智能 (AI) 在治疗食道癌症方面的潜力.
- 突出人工智能辅助内镜在查和诊断中的作用.
- 确定挑战,并提出解决方案,以在食道癌症护理中整合人工智能.
主要方法:
- 关于人工智能在食道癌症管理中的应用的综合文献综述.
- 分析AI在内镜查和诊断中的作用.
- 检查临床AI适应和验证中的挑战.
主要成果:
- 人工智能辅助内镜对于食道癌查和诊断具有重要意义.
- 高质量的临床数据库对于验证多式联络AI模型至关重要.
- 需要对各种数据集进行严格的外部验证.
- 内镜师的技能影响准确性,将人工智能定位为支持工具.
结论:
- 人工智能在食道癌症管理中的成功整合,特别是内镜诊断,需要解决数据质量,验证和道德考虑等挑战.
- 人工智能应该增强,而不是取代内镜师的专业知识.
- 这些发现虽然是日本的案例研究,但也适用于其他高发病率地区.
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