Saturday January 19, 2019

AI-System to Detect Specks of Lung Cancer

The approach is similar to the algorithms that facial-recognition software uses. It scans thousands of faces looking for a particular pattern to find its match

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Cancer
Cancer Ribbon. Pixabay

Researchers from University of Central Florida in the US have taught a computer how to detect tiny specks of lung cancer in computed tomography (CT) scans, which radiologists often have a difficult time identifying.

The Artificial Intelligence (AI) system is about 95 per cent accurate, compared to 65 per cent when done by human eyes, the team said.

“We used the brain as a model to create our system,” one of the researchers Rodney LaLonde said in a statement released by the university.

The approach is similar to the algorithms that facial-recognition software uses. It scans thousands of faces looking for a particular pattern to find its match.

Cancer
Cancer Ribbon. Pixabay

The group fed more than 1,000 CT scans into the software they developed to help the computer learn to look for the tumours, according to the research to be presented at the MICCAI 2018 conference in Spain in September.

“I believe this will have a very big impact,” said Assistant Professor Ulas Bagci.

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“Lung cancer is the number one cancer killer in the US and if detected in late stages, the survival rate is only 17 percent. By finding ways to help identify earlier, I think we can help increase survival rates,” Bagci added.

The next step is to move the research project into a hospital setting. After that, the technology could be a year or two away from the marketplace, Bagci said. (IANS)

Next Story

AI App With Microsoft Azure to Tackle Malnutrition in India

The new app will hugely impact the early identification of children suffering from malnutrition, thereby reducing the treatment time

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Sanjay Mehta
The children of families in Saranda, Jharkhand suffer from malnutrition and malaria. Sanjay Mehta

Germany-based non-profit Welthungerhilfe has developed an Artificial Intelligence (AI) smartphone app, powered by Microsoft Azure, to tackle malnutrition in India.

The Child Growth Monitor — a cloud-based app powered by Microsoft Azure and AI services — can detect malnutrition and enable health workers to identify and provide care to children suffering from chronic undernourishment.

By March, the app will help health workers scan 10,000 children under the age of five for signs of malnutrition, across Maharashtra, Madhya Pradesh and Rajasthan, the company said in a statement on Thursday.

Twelve teams of 150 trained health workers have been provided app-enabled smartphones to collect the data of children, it added.

The app uses an infrared sensor available in some smartphones to capture 3D measurements of a child’s height, body volume and weight ratio, as well as head and upper arm circumferences down to the millimetre.

Representational image showing a malnutrition ridden child.

The app loads that captured data into Microsoft Azure. Nutritionists and IT specialists then evaluate the scans by using Microsoft AI solutions, pinpointing a child’s dietary health.

“Today, more than 800 million people around the world suffer from hunger. You can’t solve hunger if you don’t know where the hungry people are,” said Jochen Moninger, Innovation Director at the Welthungerhilfe.

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“The Child Growth Monitor app will emerge as a recognised, global solution among humanitarian organisations. In India alone, that could free up hundreds of millions of dollars for reinvestment into the lives of children,” he added.

The new app will hugely impact the early identification of children suffering from malnutrition, thereby reducing the treatment time. (IANS)