Advancing early cervical cancer detection: Integrating infrared imaging, colposcopy and AI-driven database management.

Cervical cancer ranks as an important cause in female mortality on a global scale. The use of infrared (IR) imaging for detecting anomalies in cervical tissues has proven to be remarkably useful. The accurate diagnosis of cervical cancer is still a significant difficulty. The goal of this research is to develop a comprehensive strategy that successfully integrates IR imaging with colposcopy while utilizing cutting-edge computational approaches for improved database management. The main goal of this method is to transform early cervical cancer detection, providing significant benefits to medical professionals and the patients they treat. [ABSTRACT FROM AUTHOR]