"人工组织学"在结肠瘤:一个关键的方法
Gavino Faa1, Matteo Fraschini2, Luca Didaci2
1Department of Medical Sciences and Public Health, Università degli Studi di Cagliari, 09123 Cagliari, Italy; Department of Biology, College of Science and Technology, Temple University, Philadelphia, PA, 19122 USA.
概括
人工智能 (AI) 在评估结肠直肠癌前期和癌症组织学方面表现有前途,但目前的模型需要改进以获得临床应用. 需要进一步发展,以将人工智能与病理学家的专业知识相结合,以进行可靠的诊断.
科学领域:
- 组织病理学 组织病理学
- 在瘤学瘤学.
- 人工智能的人工智能
背景情况:
- 对结直肠癌前期和癌症的组织学评估是复杂的.
- 这影响了二次结肠癌预防策略.
- 人工智能 (AI) 可能有助于对这些病变进行组织学诊断.
研究的目的:
- 审查人工智能方法对结肠癌前期和癌症组织学评估的证据.
- 评估AI在表型结肠瘤发生的可靠性.
主要方法:
- 对人工智能驱动的组织学表型研究的现有研究的审查.
- 专注于人工智能模型在排名组织学表型中的可靠性.
主要成果:
- 人工智能为客观组织学表型化提供了方向,远离主观病理学家的评估.
- 确定了当前人工智能模型的重大局限性和改进领域.
结论:
- 人工智能驱动的方法目前缺乏临床有效性.
- 伦理方面的考虑需要仔细注意.
- 将人工智能集成到诊断中需要将工程进步与病理学家专业知识相结合.
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