7717211211 |

Contact Us | SignUp |

πŸ”

βœ–

AIIMS' AI-Based Breast Cancer Detection Tool

Published On:

AIIMS New Delhi has introduced an innovative AI-based tool aimed at the early detection of breast cancer. This initiative is part of the government’s scheme to establish three Centres of Excellence (CoEs) in Artificial Intelligence, focusing on healthcare, agriculture, and sustainable urban development.

How the AI Model Works

The AI model utilises a database of women tested for breast cancer over the past five years from various medical institutions. ASHA workers will assist in collecting this data to identify specific risk factors associated with breast cancer among Indian women. By analysing these factors, the AI tool will:

  1. Identify individuals at higher risk.
  2. Recommend mammograms for those identified as cancer-prone.
  3. Define risk-free categories based on data trends.

The AI system is designed to learn and recognise complex patterns in mammograms, eliminating the need for radiologists on-site. Mammography, a specialised X-ray imaging method, plays a crucial role in both the diagnosis and screening of breast cancer.

Understanding Breast Cancer

Breast cancer is characterised by abnormal growth of breast cells that form tumours. These tumours can spread to other parts of the body if not treated early, becoming life-threatening.

  1. Origin and Tumour Formation:
    • Breast cancer cells usually originate in milk ducts or milk-producing lobules.
    • In its earliest stage (in situ), it is non-life-threatening and can be detected early.
    • Cancer cells may spread into surrounding breast tissue, forming lumps or causing thickening.
  2. Risk Factors:
    • A family history of breast cancer can increase the risk.
    • However, the majority of women diagnosed with breast cancer lack a known family history.
  3. Prevalence:
    • Around 99% of breast cancers occur in women, with 0.5-1% cases reported in men.
  4. Treatment:
    • Treatment varies based on the individual, type of cancer, and its progression.
    • Common approaches include surgery, radiation therapy, and medication.

Significance of AI in Breast Cancer Detection

The AI-based model provides a systematic approach to identifying high-risk cases and reducing dependency on radiologists in remote or underserved areas. It enhances diagnostic accuracy and promotes early intervention, which is crucial in improving survival rates and reducing mortality associated with breast cancer.