
Chemosensors, Год журнала: 2025, Номер 13(3), С. 102 - 102
Опубликована: Март 11, 2025
Pneumoconiosis, as the most widely distributed occupational disease globally, poses serious health and social hazards. Its diagnostic techniques have evolved from conventional imaging computer-assisted analysis to emerging sensor strategies covering biomarker analysis, routine breath sensing, integrated electronic nose (E-nose), etc. All of them both special advantages face shortcomings or challenges in practical application. In recent years, emergence advanced data technologies, including artificial intelligence (AI), has provided opportunities for large-scale screening pneumoconiosis. On basis a deep characteristics technologies diagnosis pneumoconiosis, this paper comprehensively systematically reviews current development these especially focusing on research progress provides forecast their future development.
Язык: Английский