A new AI model has been developed by an international team of scientists, including those from Charles Darwin University in Australia, to accurately identify cancer at a near 100% success rate. The model, known as ECgMPL, uses microscopic images of cells and tissue to detect endometrial cancer with impressive accuracy.
The researchers’ AI model outperforms existing methods by achieving 99.26% accuracy, surpassing transfer learning and custom models discussed in the research. It can be adapted to identify a range of diseases, including colorectal and oral cancer, with high accuracy rates.
This breakthrough could revolutionize cancer diagnosis, making it faster, more accessible, and affordable. The model is designed to assist doctors in decision-making for cancer diagnosis, not replace them. Its potential impact on patient outcomes is significant, as early detection can lead to better treatment and management of the disease.
Source: https://newatlas.com/cancer/ai-cancer-diagnostic