According to American researchers, Artificial Intelligence helped capture cancer by predicting better personal risk from age-based screening.

In most countries, including the US, doctors currently recommend cancer screening based on a person’s age.

For example, women are usually asked to test breast cancer after the age of 40 or 50, while colon cancer screening often starts after 45.

But researchers now believe that this age-based approach can remember young people who are really at high risk, and can also do unnecessary tests for older people who are at low risk.

A team of researchers at George Mason University said that Artificial Intelligence can help fix this problem.

Instead of using age only, the AI ​​models can see a person’s complete medical history and social background to make a more accurate prediction of their risk of cancer.

These models, according to researchers, doctors can help decide who should be examined, irrespective of their age.

The research team led by Professor Farokha Alemi has published five letters in a special issue of Journal Quality Management in Health Care.

These paper find out how data science and AI can improve cancer detection using risk-based models.

According to their findings, these models can predict various types of cancer possibilities with high accuracy:

• Skin Cancer: About 90%
• Malignant Brain Tumor: About 80%
• Kidney Cancer: About 80%
• Breast Cancer Relaps: About 70%
• Liver Cancer: About 60%

Despite showing such a promise, these AI-based models have not yet been included in the official screening recommendations made by the US Preventive Services Task Force (USPSTF), a body that guides doctors on public health screening.

Alemy and his team believe that it is time to move beyond those old guidelines.

He said, “AI systems can easily reach people online and help them find out if they are at risk. People who are at high risk can talk to their doctor about screening. Low risk people can avoid unnecessary tests,” he said.

He also called these AI tools a major step for “Predictive Medicine”, a type of healthcare that focuses on preventing the disease before occurring.

“These risk-based models work for non-invasive, more accurate, cost-effective and all,” Alemy said.

Researcher Yili Lynn, who worked on studies, stated that using these models in daily medical practice can improve care and help first detect cancer when it is easy to treat.

Researchers now hope that the screening of more healthcare systems cancer will adopt AI tools to make clever, fairer and more individual.