Artificial intelligence strengthens cervical cancer screening - present and future.

Area of Science:

• Oncology
• Medical Imaging
• Artificial Intelligence

Background:

• Cervical cancer poses a significant global health threat, disproportionately affecting women in developing nations.
• Current screening strategies face challenges in low- and middle-income countries due to inadequate health infrastructure.
• The World Health Organization aims to eliminate cervical cancer by 2030 through widespread screening.

Purpose of the Study:

• To review the current state and applications of artificial intelligence (AI) in cervical cancer screening.
• To explore AI's potential in improving the accuracy and efficiency of detecting abnormal cytology and neoplastic diseases.
• To identify future challenges and opportunities for AI implementation in cervical cancer management.

Main Methods:

• Review of existing literature on AI applications in cervical cancer screening.
• Analysis of deep learning algorithms for medical image interpretation in cytology and histology.
• Discussion of AI's role in enhancing screening, diagnosis, and follow-up processes.

Main Results:

• AI, particularly deep learning, demonstrates human-like interpretation capabilities for medical images.
• AI technologies are rapidly advancing for the detection of cervical neoplastic diseases.
• AI has the potential to significantly improve the performance and implementation of cervical cancer screening programs.

Conclusions:

• Artificial intelligence is poised to play a crucial role in advancing cervical cancer screening and management globally.
• AI-driven image recognition can enhance the detection of precancerous and cancerous cervical conditions.
• Addressing implementation challenges is key to leveraging AI for cervical cancer elimination efforts.