AI system learns to diagnose, classify intracranial haemorrhage, say researchers

Researchers have developed a system using Artificial Intelligence (AI) to quickly diagnose and classify brain haemorrhages and to provide the basis of its decisions from relatively small image datasets.

By: Agencies | | Published: December 22, 2018 3:49 pm

Our fight against the novel coronavirus is enhanced by artificial intelligence. ©Shutterstock.

According to the researchers, such a system could become an indispensable tool for hospital emergency departments evaluating patients with symptoms of a potentially life-threatening stroke, allowing rapid application of the correct treatment. Also Read - Artificial Intelligence or AI: Here is how it is transforming healthcare

“Some critics suggest that Machine Learning (ML) algorithms cannot be used in clinical practice because the algorithms do not provide justification for their decisions,” said co-lead author Sehyo Yune from the Massachusetts General Hospital (MGH) in the US. Also Read - National Doctor’s Day: 14 questions you must ask your physician

To train the system, the research team began with 904 head CT scans, each consisting of around 40 individual images that were labelled by a team of five neuroradiologists as to whether they depicted one of the five haemorrhage subtypes, based on the location within the brain, or no haemorrhage.

To improve the accuracy of this deep-learning system, the team built in steps mimicking the way radiologists analyse images, suggested the study published in the journal Nature Biomedical Engineering.

Once the model system was created, the team tested it on two separate sets of CT scans — a retrospective set taken before the system was developed, consisting of 100 scans with and 100 without intracranial haemorrhage, and a prospective set of 79 scans with and 117 without haemorrhage, taken after the model was created.

In its analysis of the retrospective set, the model system was as accurate in detecting and classifying intracranial haemorrhages as the radiologists that had reviewed the scans had been, the team said.

In its analysis of the prospective set, it proved to be even better than non-expert human readers, they added.

Source: IANS

Published : December 22, 2018 3:49 pm

Read Disclaimer

Avoid binge drinking to curb social media addiction

Expert Speak: When is a spine surgery required?

About The health Site

TheHealthSite.com is India's largest health site with more than 40 lakh unique visitors per month. We focus on fitness, beauty, health, pregnancy and more.

Most popular health and wellness website in India in 2012 at the Website of the year awards.

health@corp.india.com

+91 – 22 – 6697 1234

91 – 22 – 2490 0302.

ZEE ENTERTAINMENT ENTERPRISES LTD, 18th floor, A-Wing, Marathon Futurex, N. M. Joshi Marg, Lower Parel, Mumbai, Maharashtra 400013.

We respect your privacy

Avoid binge drinking to curb social media addiction

Expert Speak: When is a spine surgery required?

Advanced MRI scans may improve treatment of Parkinson's disease, reduce risk of side effects

Use of genetics in type 1 diabetes diagnosis in India

Ovarian cancer is hard to detect early, don’t overlook these symptoms

Women, take note: Early mammography screening can reduce risk of having fatal breast cancer

Beware: Blue lips, creased earlobes and ring around the iris may indicate heart disease

About The health Site

Useful Links