人工智能时代背景下烧伤与创面修复学科的机遇与挑战

摘要: 烧伤与慢性难愈性创面是全球重大公共卫生难题,我国创面修复临床需求庞大,创面修复专科体系建设稳步推进。人工智能凭借图像识别、数据分析和模型预测能力,正全方位重塑烧伤与创面修复诊断与治疗体系,带来学科发展新机遇。该文系统梳理人工智能在烧伤与创面修复领域的多个应用场景及最新进展,同时理性分析现阶段人工智能技术应用存在的潜在风险与挑战,并对人工智能技术推动现代医学由传统诊断与治疗模式向个体化、精准化方向发展进行了展望。
- 烧伤 /
- 人工智能 /
- 精准医学 /
- 创面修复
Abstract: Burns and chronic refractory wounds represent a major global public-health challenge. China faces substantial clinical demand for wound repair, and the development of a specialized discipline system for wound repair is advancing steadily. With its capabilities in image recognition, data analysis, and predictive modeling, artificial intelligence (AI) is comprehensively reshaping the diagnosis-and-treatment system for burns and wound repair and bringing new opportunities for disciplinary development. This paper systematically reviews multiple application scenarios and the latest advances of AI in the field of burns and wound repair. It also rationally analyzes the potential risks and challenges associated with current AI applications, and offers an outlook on AI-driven transformation of modern medicine from conventional diagnostic-therapeutic paradigms toward individualized and precision-oriented care.
- Burns /
- Artificial intelligence /
- Precision medicine /
- Wound repair
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