New AI Diagnostic System Identifies 13 Cancers with 98% Accuracy

New AI Diagnostic System Identifies 13 Cancers with 98% Accuracy

Facebook
Twitter
LinkedIn

Researchers have unveiled a new AI system that can detect 13 cancers from tissue samples with 98% accuracy.

According to a news report published by The Indian Express, Researchers from the University of Cambridge achieved the ground-breaking feat by developing binary and multiclass machine learning models, which were then used to identify several types of cancers from non-cancerous tissue samples.

Using the AI-powered diagnostic system, the researchers identified 13 different types of cancers in their early development stages with 98.2% accuracy. The cancers were identified through changes in the DNA marks during early cancer development.

This advancement in medical technology marks a significant development in oncology, raising hopes of early cancer detection and treatment, resulting in improved therapy outcomes.

A New Milestone in Oncology

According to Kalyan Sivasailam, co-founder and CEO of 5C Network, the integration of advanced AI technology systems into cancer diagnostics can improve accuracy and help personalize treatment plans to enhance patient outcomes.

The AI system leverages a type of deep learning technology known as convolutional neural networks (CNNs), which are responsible for effective image recognition. The networks are highly capable of learning complex features and patterns from large datasets drawn from labelled medical scans.

The technology approach leverages general features obtained from extensive datasets and utils them for specific cancer detection processes, thereby enhancing accuracy.

AI-generated reports can provide detailed insight into the nature and extent of cancer in patients, enabling oncologists to develop personalised treatment plans.  AI can also help in monitoring treatment responses in patients by analyzing follow-up scans for adjustments based on real-time data.