Identifying Cancerous Patterns in PAP Test Images Using AI
Background
Data
Only 55-80% of the probes collected worldwide are correctly identified and diagnosed
Cervical cancer
Cervical cancer is the fourth most frequently diagnosed cancer and fourth most common cause of cancer-specific mortality in women
Screening
The International Agency for Research on Cancer concludes that there is sufficient evidence that screening can reduce cervical cancer mortality by 80% or more.
THE SOLUTION
Artificial Intelligence (AI) has demonstrated remarkable capabilities in the early detection of cervical cancer, a leading cause of cancer-related deaths among women worldwide. By analyzing high-resolution cervical images, AI algorithms can accurately identify subtle patterns and anomalies that may indicate the presence of precancerous or cancerous lesions, enabling earlier intervention and better patient outcomes.
Focus
Artificial Intelligence (AI) has demonstrated remarkable capabilities in the early detection of cervical cancer, a leading cause of cancer-related deaths among women worldwide. By analyzing high-resolution cervical images, AI algorithms can accurately identify subtle patterns and anomalies that may indicate the presence of precancerous or cancerous lesions, enabling earlier intervention and better patient outcomes.