In a fight against the novel coronavirus, researchers have developed a new artificial intelligence (AI) platform that detects Covid-19 by analyzing X-ray images of the lungs. Called DeepCOVID-XR, the machine-learning algorithm outperformed a team of specialized thoracic radiologists — spotting Covid-19 in X-rays about 10 times faster and more accurate. According to the study, published in the journal Radiology, the research team believes physicians could use the AI system to rapidly screen patients who are admitted to hospitals for reasons other than Covid-19. You Must Watch These Movies Right Now Inspiredot Ads by Revcontent Find Out More > 98,511 The study’s authors also believe the algorithm could potentially flag patients for isolation and testing who are not otherwise under investigation for Covid-19. Faster, earlier detection of the highly contagious virus could potentially protect health care workers and other patients by triggering the positive patient to isolate sooner. “We are not aiming to replace actual testing. X-rays are routine, safe, and inexpensive. It would take seconds for our system to screen a patient and determine if that patient needs to be isolated,” said study author Aggelos Katsaggelos from Northwestern University in the US. To develop, train, and test the new algorithm, the researchers used 17,002 chest X-ray images — the largest published clinical dataset of chest X-rays from the Covid-19 era used to train an AI system. The team then tested DeepCOVID-XR against five experienced cardiothoracic fellowship-trained radiologists on 300 random test images from Lake Forest Hospital. Of those images, 5,445 came from Covid-19-positive patients from sites across the Northwestern Memorial Healthcare System. Each radiologist took approximately two-and-a-half to three-and-a-half hours to examine this set of images, whereas the AI system took about 18 minutes. The radiologists’ accuracy ranged from 76-81 percent. DeepCOVID-XR performed slightly better at 82 percent accuracy. “X-rays are inexpensive and already a common element of routine care. This could potentially save money and time — especially because timing is so critical when working with Covid-19,” the author noted.

Moto G 5G vs OnePlus Nord 5G: Handset maker Motorola has launched its cheapest 5G mid-range phone Moto G5G in India. Recall that before this, OnePlus Nord of the OnePlus brand was the most affordable 5G phone to come with 5G connectivity. For your convenience, we have compared the price and features of both odoriferous
 | 
In a fight against the novel coronavirus, researchers have developed a new artificial intelligence (AI) platform that detects Covid-19 by analyzing X-ray images of the lungs. Called DeepCOVID-XR, the machine-learning algorithm outperformed a team of specialized thoracic radiologists — spotting Covid-19 in X-rays about 10 times faster and more accurate.  According to the study, published in the journal Radiology, the research team believes physicians could use the AI system to rapidly screen patients who are admitted to hospitals for reasons other than Covid-19.  You Must Watch These Movies Right Now Inspiredot Ads by Revcontent Find Out More > 	98,511 The study’s authors also believe the algorithm could potentially flag patients for isolation and testing who are not otherwise under investigation for Covid-19. Faster, earlier detection of the highly contagious virus could potentially protect health care workers and other patients by triggering the positive patient to isolate sooner.  “We are not aiming to replace actual testing. X-rays are routine, safe, and inexpensive. It would take seconds for our system to screen a patient and determine if that patient needs to be isolated,” said study author Aggelos Katsaggelos from Northwestern University in the US.  To develop, train, and test the new algorithm, the researchers used 17,002 chest X-ray images — the largest published clinical dataset of chest X-rays from the Covid-19 era used to train an AI system.  The team then tested DeepCOVID-XR against five experienced cardiothoracic fellowship-trained radiologists on 300 random test images from Lake Forest Hospital. Of those images, 5,445 came from Covid-19-positive patients from sites across the Northwestern Memorial Healthcare System.  Each radiologist took approximately two-and-a-half to three-and-a-half hours to examine this set of images, whereas the AI system took about 18 minutes. The radiologists’ accuracy ranged from 76-81 percent. DeepCOVID-XR performed slightly better at 82 percent accuracy. “X-rays are inexpensive and already a common element of routine care. This could potentially save money and time — especially because timing is so critical when working with Covid-19,” the author noted.

Moto G 5G vs OnePlus Nord 5G: Handset maker Motorola has launched its cheapest 5G mid-range phone Moto G5G in India. Recall that before this, OnePlus Nord of the OnePlus brand was the most affordable 5G phone to come with 5G connectivity.

For your convenience, we have compared the price and features of both odoriferous 5G Smartphones in India to each other. Let’s know in detail about these smartphones.

Moto G 5G vs OnePlus Nord 5G: software and display

Speaking of software and display, the dual-sim (Nano) Moto G5G smartphone has a 6.7-inch full-HD + (1080 × 2520 pixels) display. The smartphone runs on Android 10.

On the other hand, the dual-sim OnePlus Nord smartphone works on Oxygen OS 10.5 based on Android 10. The phone has a 6.44 inch full-HD + (1,080 × 2,400 pixels) fluid AMOLED screen. Corning Gorilla Glass 5 has been used for protection. It has a refresh rate of 90 Hz and an aspect ratio of 20: 9. The phone supports features like reading mode, night mode, and video enhancer.

Moto G5G vs OnePlus Nord: Processor, RAM, and Storage

This Motorola Smartphone has 6 GB RAM and 128 GB storage with Snapdragon 750 G processor. With the help of a microSD card, it is possible to increase the storage to 1 TB. On the other hand, the OnePlus Smartphone has a Qualcomm Snapdragon 765G octa-core processor with up to 12GB of RAM and up to 256GB of storage (UFS 2.1) for speed and multitasking. It is not possible to increase storage with the help of a MicroSD card.

Moto G 5G vs OnePlus Nord 5G: Battery Capacity

The 5,000 mAh battery serves to infuse Motorola mobile phones and it supports 20 W turbo power fast charging. On the other hand, the 4,115 mAh battery works in the OnePlus mobile phone, it is equipped with 30T warp charge fast charging technology.

Moto G5G vs OnePlus Nord: Connectivity

Motorola phones include features like 5G, NFC, Bluetooth version 5.1, Wi-Fi 802.11 AC, USB Type-C port, GPS, etc. A fingerprint sensor has been provided on the back panel of the phone for security. On the other hand, the OnePlus smartphone has 5G, 4G LTE, Wi-Fi 802.11 AC, GPS, A-GPS, Bluetooth version 5.1, NFC, and USB Type-C port for connectivity. For security, the in-display fingerprint sensor has got a place on the back panel of the phone.

Moto G 5G vs OnePlus Nord 5G: Camera

There are three rear cameras on the back panel of Moto G5G, a 48-megapixel primary camera sensor, aperture F / 1.7. Along with 8-megapixel wide-angle camera sensor, aperture F / 2.2. There is a 2-megapixel macro camera sensor, aperture F / 2.4. There is a 16-megapixel front camera sensor for selfie and video calling, aperture F / 2.2.

On the other hand, the back of the OnePlus Nord 5G has a quad rear camera setup, 48MP Sony IMX586 primary camera sensor, aperture F / 1.75. Explain that this optical image comes with stabilization. There is an 8-megapixel ultra-wide-angle camera sensor, aperture F / 2.25 with 119-degree field-of-view. There is a 2-megapixel macro camera sensor and a 5-megapixel depth camera sensor, both of which have an aperture F / 2.4.

The 32MP Sony IMX616 primary camera sensor is aperture F / 2.45 for selfie and video calling. The 8-megapixel secondary camera with a 105-degree field of view is an ultra-wide-angle camera sensor, aperture F / 2.45.

Moto G 5G Price in India vs OnePlus Nord Price in India

The price of 6 GB RAM and 128 GB storage variants of Moto G5G is Rs 20,999 in India. As we told you, customers will be able to buy this Motorola mobile phone from Flipkart. The Moto G5G has two color variants, Volcanic Gray and Frosted Silver.

On the other hand, the 6 GB RAM / 64 GB storage variant of OnePlus Mobile is priced at Rs 24,999. The price of the 8 GB RAM / 128 GB storage variant of the phone has been fixed at Rs 27,999 and the top variant with 12 GB RAM / 256 GB has been priced at Rs 29,999. The phone has two color variants, Blue Marble and Gray Onix.