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iPhone app measured blood flow better in cardiac assessment

The researchers compared the use of a heart-rate monitoring application (the Instant Heart Rate application version 4.5.0 on an iPhone 4S)

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Scientists have used an app on iPhone 4S to assess blood flow in a wrist artery for patients undergoing coronary angiography that performed better than the traditional physical examination. The smartphone app had a diagnostic accuracy of 94 percent compared with 84 percent using the traditional method.

Although this application is not certified at present for use in healthcare by any regulatory body, “our study highlights the potential for smartphone-based diagnostics to aid in clinical decision-making at the patient’s bedside,” said Dr Benjamin Hibbert from the University of Ottawa Heart Institute, Ottawa.

There are 29 types of blood groups in reality.
This test will help in assessing cardiac problems.

Researchers used the smartphone’s camera function to reach the conclusion, according to a randomised trial published in CMAJ (Canadian Medical Association Journal).

“Because of the widespread availability of smartphones, they are being used increasingly as point-of-care diagnostics in clinical settings with minimal or no cost,” said Hibbert.

“For example, built-in cameras with dedicated software or photodiode sensors using infrared light-emitting diodes have the potential to render smartphones into functional plethysmographs [instruments that measure changes in blood flow],” he added.

Also Read: Apple working with partners on foldable iPhone

The researchers compared the use of a heart-rate monitoring application (the Instant Heart Rate application version 4.5.0 on an iPhone 4S) with the modified “Allen” test, which measures blood flow in the radial and ulnar arteries of the wrist, one of which is used to access the heart for coronary angiography.

A total of 438 participants were split into two groups. One group was assessed using the app and the other was assessed using the Allen test. “The current report highlights that a smartphone application can outperform the current standard of care and provide incremental diagnostic yield in clinical practice,” Dr Hibbert wrote.

A total of 100 men had serum levels indicative of hyponatremia. Wikimedia Commons
This app can be revolutionary. Wikimedia Commons

“However, while smartphones aren’t designed as medical devices, it is important that they are evaluated in the same rigorous manner by which we assess all therapies and diagnostic tests,” noted lead author Dr Pietro Di Santo. IANS

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Apple’s Head Of Search and Head of Siri’s Advanced Development quits Amidst Siri Reshuffle

According to a report in The Information on Thursday, Apple has confirmed both the departures

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According to a report in The Information on Thursday, Apple has confirmed both the departures. Pixabay

Apple’s Head of Search Vipul Ved Prakash and Tom Gruber, Head of Siri’s Advanced Development Group, have quit the company which is currently reshuffling its Siri team.

According to a report in The Information on Thursday, Apple has confirmed both the departures.

One of the original Siri co-founders, Gruber “will be pursuing personal interests in photography and ocean conservation”.

Prakash joined Apple in 2013 after Apple acquired the search engine and analytics firm Topsy where he served as a CEO.

“The deal was valued at upwards of $224 million. Apple shut down Topsy two years after its acquisition,” reports 9to5mac.com.

Revealing its future plans, Apple last week formally announced to make ex-Google executive John Giannandrea its Chief of Machine Learning (ML) and Artificial Intelligence (AI) Strategy.

Apple's
Apple has invested in Siri and HomeKit to compete with Google Home and Alexa-based smart home systems. Flickr

Reporting to CEO Tim Cook, Giannandrea who joined Apple in April will be in charge of Apple’s ML division, Siri and the Core ML team.

Giannandrea will look after further development of Core ML and Siri technologies.

According to media reports, Apple lags behind from Google and Amazon in key AI areas like Natural Language Processing (NLP) and computer vision needed to power voice assistant features in Siri.

Apple has invested in Siri and HomeKit to compete with Google Home and Alexa-based smart home systems.

Also Read-Apple Gets a New AI Chief to Oversee Siri, Machine Learning

In 2017, Apple added an AI chip called Neural Engine to the A11 Bionic for the iPhone 8, iPhone 8 Plus and iPhone X to work with the Image Signal Processor (ISP). (IANS)