病例报告和人工智能对长期放射性皮肤炎开发的状细胞癌的挑战
Gyula László Fekete1,2, Laszlo Barna Iantovics3, Júlia Edit Fekete4
1Department of Dermatology, George Emil Palade University of Medicine, Pharmacy, Science and Technology of Targu Mures, 540142 Targu Mures, Romania.
Journal of clinical medicine
|June 13, 2025
概括
状细胞癌可以在放射治疗后的多年内在慢性放射性皮肤炎部位发展. 这项研究介绍了两个病例,并提出了一个人工智能决策支持系统,用于诊断具有有限数据的难以诊断的放射性皮肤炎病例.
科学领域:
- 在瘤学瘤学.
- 皮肤病学 皮肤病学
- 人工智能的人工智能
背景情况:
- 放射性皮肤炎是辐射引起的皮肤疾病,可能会带来诊断挑战.
- 放射治疗的长期并发症包括二次恶性瘤.
- 放射性皮肤炎并发症的早期和准确诊断对于患者的治疗结果至关重要.
关键词:
沙乌尔的光线是沙乌尔的光线人工智能的人工智能是人工智能.临床决策支持系统.深度学习是一种深度学习.皮肤缩过程是皮肤缩过程.炎症性皮肤过程的炎症性皮肤过程.基于智能代理系统的智能代理系统.电离辐射辐射的电离辐射.皮肤的辐射.机器学习是机器学习.乳腺腺癌乳腺腺癌.放射性皮肤炎的发生辐射疗法 辐射疗法皮肤损伤 皮肤损伤状细胞癌 (SCLC) 是一种状细胞癌.更多相关视频
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