人工智能可以带领我们在管理和理解癌症化场的领域
Carmen Orte Cano1,2, Mariano Suppa1,2,3, Véronique Del Marmol1,2
1Department of Dermatology, Hôpital Erasme, HUB, Université Libre de Bruxelles, 808 Route de Lennik, 1070 Brussels, Belgium.
Cancers
|November 14, 2023
概括
人工智能与LC-OCT等非侵入性皮肤成像相结合,有助于皮肤科医生诊断和管理具有挑战性的皮肤癌症领域,改善行动性角质炎和状细胞癌的治疗决策.
科学领域:
- 皮肤病学 皮肤病学
- 人工智能的人工智能
- 医疗成像医学成像
背景情况:
- 状细胞癌 (SCC) 和行动性角质瘤 (AK) 经常同时发生在暴露在阳光下的皮肤区域,称为癌化场.
- 在这些领域内对病变的临床评估和诊断给皮肤科医生带来了重大挑战.
- 非侵入性成像技术对于有效的管理至关重要.
研究的目的:
- 通过皮肤学图像,审查人工智能 (AI) 在诊断行为性角质/状细胞癌中的应用.
- 讨论人工智能在特征和管理癌症领域的未来前景.
- 突出非侵入性成像在临床决策中的作用.
主要方法:
- 对AI应用在皮肤学图像分析中用于AK/SCC诊断的现有文献的审查.
- 讨论人工智能与非侵入性成像方式的整合,特别是LC-OCT.
- 探索AI在损伤特征和治疗指导方面的潜力.
主要成果:
- 人工智能已经在分析皮肤学图像以诊断AK/SCC方面表现出潜力.
- 像LC-OCT这样的非侵入性技术为体内皮肤检查提供了新的途径.
- 人工智能和非侵入性成像的协同作用为管理癌症化领域提供了有前途的机会.
结论:
- 人工智能与LC-OCT等非侵入性皮肤成像技术相结合,可以显著帮助皮肤科医生.
- 这些技术为癌症领域提供了更好的诊断准确性和管理策略.
- 未来的研究应该专注于进一步整合人工智能,以全面管理皮肤癌症.
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