人工智能应用于尘肺病诊断和预防的路径分析

Path Analysis of Application of Artificial Intelligence in Diagnosis and Prevention of Pneumoconiosis

人工智能诊断尘肺病技术的出现,为解决一直困扰职业健康检查和尘肺病诊断的焦点“DR读片问题”带来了新的手段与方法。通过人工智能算法分析,从粉尘作业人员中早期发现潜在的尘肺病疑似患者,对减少尘肺病的新发病数,令工伤保险的作用前移,从而达到早预防、少发病、预防未病,具有重要作用。

The emergence of artificial intelligence diagnosis technology of pneumoconiosis has brought new means and methods to solve the "DR reading problem" which has been the focus of occupational health examination and pneumoconiosis diagnosis. Through the analysis of artificial intelligence algorithm, early detection of potential suspected pneumoconiosis patients from dust workers plays an important role in reducing the number of new cases of pneumoconiosis and advancing the role of industrial injury insurance, so as to achieve early prevention, less incidence and prevention of disease.