皮肤病学中的人工智能:不断变化的范式
Biju Vasudevan1, Debdeep Mitra2, Venus Deshwal3
1Senior Advisor (Dermatology), Command Hospital (Western Command), Chandimandir, Panchkula, India.
Medical journal, Armed Forces India
|November 21, 2025
概括
人工智能 (AI) 正在改变皮肤病学,在诊断皮肤疾病方面提供高准确度. 印度未来的整合需要解决偏见,并加强对患者护理中增强智能的培训.
科学领域:
- 皮肤病学 皮肤病学
- 医疗人工智能 医疗人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 正在迅速发展,影响医疗实践.
- 深度学习,特别是卷积神经网络 (CNN),在皮肤病学中显示出潜力.
- 印度的医疗保健环境为人工智能集成提供了独特的机会和挑战.
研究的目的:
- 检查皮肤病学AI的现状,重点关注印度.
- 突出AI在皮肤病的诊断和评估能力.
- 确定挑战,并提出在印度皮肤病学中采用AI的路线图.
主要方法:
- 审查皮肤病学当前的人工智能应用,包括深度学习和CNN.
- 在皮肤癌检测中分析AI性能指标 (灵敏度,特异性).
- 讨论诸如数据集偏差和监管障碍等挑战.
主要成果:
- 人工智能可以达到与皮肤科医生可比的诊断准确度,具有高灵敏度和特异性.
- 人工智能工具在损伤计数和严重程度评估方面优于手动评估.
- 关键的挑战包括数据集偏见 (较深色肤色的代表性不足),监管问题和培训需求.
结论:
- 人工智能为在印度彻底改变皮肤病学实践提供了重大前景.
- 解决数据集偏差,改革课程和建立验证框架至关重要.
- 增强智能,将人工智能与人类专业知识相结合,是未来,提高了准确性和获得护理的机会.
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