Tuesday January 22, 2019

This AI Tool May Accelerate Diagnosis Of Eye Diseases, Pneumonia

Besides eye diseases, the tool was able to differentiate between viral and bacterial childhood pneumonia with greater than 90 percent accuracy

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The researchers also used occlusion testing, which allowed them to show areas of greatest importance when reviewing the scan images. Pixabay

A novel image-based diagnostic tool, developed using artificial intelligence (AI) and machine learning techniques, may potentially speed up diagnoses and treatment of patients with retinal diseases and pneumonia among children, researchers say.

The findings showed that the new tool uses big data and AI to not only recognize two of the most common retinal diseases — macular degeneration and diabetic macular edema — but also to rate their severity.

“Macular degeneration and diabetic macular edema are the two most common causes of irreversible blindness but are both very treatable if they are caught early,” said Kang Zhang, Professor at the University of California-San Diego.

ALSO READ: Is Your Child Avoiding Eye Contact? He May Be Anxious, Says New Study

“Deciding how and when to treat patients has historically been handled by a small community of specialists who require years of training and are concentrated mostly in urban areas.”

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It can also distinguish between bacterial and viral pneumonia in children based on chest x-ray images. IANS

“In contrast, our AI tool can be used anywhere in the world, especially in the rural areas. This is important in places like India, China, and Africa, where there are relatively fewer medical resources,” Zhang said.

For the study, published in the journal Cell, the team studied over 200,000 optical coherence tomography (OCT) images using a technique called transfer learning, where knowledge gained in solving one problem is stored by a computer and applied to different but related problems.

“Machine learning is often like a black box where we don’t know exactly what is happening,” Zhang said.

The researchers then compared the diagnoses from the computer with those from ophthalmologists who reviewed the scans.

ALSO READ: Chronic Diseases Raise Cancer and Mortality Risk

The results showed that the tool “could generate a decision on whether or not the patient should be referred for treatment within 30 seconds and with more than 95 percent accuracy”, Zhang said.

Besides eye diseases, the tool was able to differentiate between viral and bacterial childhood pneumonia with greater than 90 percent accuracy.

It can also discern between cancerous and non-cancerous lesions detected on scans, Zhang said. (IANS)

Next Story

Facebook To Soon Come Up With Institute for Ethics in Artificial Intelligence

institute will help advance the growing field of ethical research on new technology and will explore fundamental issues affecting the use and impact of AI.

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institute will help advance the growing field of ethical research on new technology and will explore fundamental issues affecting the use and impact of AI. VOA

Facebook on Sunday said it will create an independent Institute for Ethics in Artificial Intelligence (AI) with an initial grant of $7.5 million.

In collaboration with the Technical University of Munich (TUM) in Germany, the institute will help advance the growing field of ethical research on new technology and will explore fundamental issues affecting the use and impact of AI.

The enterprise solutions major has integrated SAP CoPilot with the "SAP S/4HANA" Cloud.

“A tectonic shift is happening in AI. Nearly 85 per cent of enterprises globally will use AI in some form or the other by 2020. INT

“The institute will conduct independent, evidence-based research to provide insight and guidance for society, industry, legislators and decision-makers across the private and public sectors,” said Joaquin Quinonero Candela, Director, Applied Machine Learning, at Facebook.

The institute will address issues that affect the use and impact of AI, such as safety, privacy, fairness and transparency.

Also Read: Facebook Redesigns Messenger App For Android, iOS Users

“At the TUM Institute for Ethics in Artificial Intelligence, we will explore the ethical issues of AI and develop ethical guidelines for the responsible use of the technology in society and the economy,” said Professor Dr Christoph Lutge.

The institute will also benefit from Germany’s position at the forefront of the conversation surrounding ethical frameworks for AI “including the creation of government-led ethical guidelines on autonomous driving” and its work with European institutions on these issues. (IANS)