Eye Hospitals partnered with DeepMind, one of the world’s leading AI services companies. Through the partnership, researchers hope to use one million anonymous retinal images to train artificial intelligence (AI) in the automated diagnosis of optical coherence tomography (OCT) images.
OCT images are complex and take a long time for doctors to evaluate, which affects how quickly patients can obtain a formal diagnosis and initiate treatment. However, the open-access algorithm can be used to automatically diagnose eye diseases such as one-day age-related macular degeneration and diabetic retinopathy, reduce patient waiting time and prevent blindness. Moorefields research team does not need to learn code because AI is produced through user-friendly deep learning software.
The technique is now proven to match the accuracy of expert ophthalmologists and optometrists and generate the right referral information. The diagnostic capabilities of AI are benchmarked against doctors’ decisions at Moorefields Eye Hospital, demonstrating its real-world application.
How does it work?
Say you have 1,000 photos of cats and 1,000 dogs, and you want to train AI. All you have to do is create a folder containing all the images and a spreadsheet that categorizes them, “Image One Cat, Image Two Dog” and so on. Upload it to the system, there is an application programming interface (API) that you can use.m That was a game-changer for me. People like me who are researching AI but not computer scientists can start doing it ourselves and democratize applications.
How is it applied in ophthalmology?
We only use it in research projects. I think it is still a few years away for use in patient care and a lot of extra work is needed. We wonder, for example, whether we can train the AI algorithm to look at a photo and see if a patient can qualify for a clinical trial.
We started by obtaining five publicly available medical image data sets. We got photos of skin like moans and bruises, we got adult and child chest x-rays, we had retinal scans from diabetic eye disease. We have trained an algorithm using Google’s open-source AI platform, AutoML, and for some datasets, we have good results with no state-of-the-art coding experience.
It is receiving a lot of attention worldwide from doctors in every medical specialty. I am essaying this kind of hunger among doctors. We have thousands of ideas, we don’t have the practical facilities to translate them into reality, and that probably opens up that possibility.
What is the most exciting project you can think of right now in this area?
One of the hottest topics not only in ophthalmology but also in health care and outside of health care is called the Generative Adversary Network (GAN). GANs are neural networks that can simulate any data set distribution. What it means is that they can effectively create synthetic images, sounds or videos. They can create photos of people who don’t exist, politicians can create some fake videos that say things they don’t say, deep fakes and the like. FaceApp, the Russian AI Face Editor, which makes you look old, made me look like my daddy, it made my kids think they were grand.
However, that technology actually has legitimate health care applications. If you are studying a rare disease and you do not have much data, it is possible to increase your data using it. You can train your neural network using synthetic images, and then you don’t have to worry about privacy issues and data protection.
How does AI help the commerce industry?Traditionally, retail businesses have been satisfied with making an e-commerce website for their brick-and-mortar stores, but now it is not enough.
You need to develop new emerging technologies to provide immense value to customers.
Retail businesses are implementing AI to improve various processes, customer experience and ultimately revenue.Prior to AI, there was personalization in the eCommerce industry, but of limited value.
If you are using services like Amazon or Ebay, you should definitely experience this.Artificial intelligence enables you to monitor customer interactions across multiple platforms, such as websites, mobile apps, and emails.
It’s about hitting the right chord at the right time.With the new semantic-based search option, customers are now able to search smarter and get results that are of their interest.
There may be many reasons to show such interest.
Why does artificial intelligence not replace humans?Speaking of Artificial Intelligence (A.I.
), it is the result of a set of multiple programming algorithms with high technologies, progress, and frequency.We all know that Human Intelligence is a collective measure of mental ability, the ability to adapt, learn, remember, solve problems, reason, and think abstractly by using knowledge at any time.Every second goes through the natural way of working with the human biological system.And replacing humans with artificial intelligence doesn’t make sense, though A.I.
It can be a great support for humans at times.
It does not have biased opinions during any decision making process.
Making life easier for humans in the future, these machines will never be able to replace humans.To Know More: DARK SIDE OF ARTIFICIAL INTELLIGENCEIf you want to build your own pattern Recognitions in Mobiles& some other Gadgets, but don’t have the time or required knowledge, leave it to the real professionals — make use of our services.This is theoretical since AI does not yet exist.
Programmers do a bit of intelligence, the computer just runs around the convoluted program-steps of the programmer’s bidding.So let’s imagine a robotic solution with a large amount of control logic.
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With this Big Data Parts of Digital Future technology becoming more ubiquitous, shoppers can make informed decisions using online data and content to discover, compare and buy products from anywhere, anytime.Uses of AI on Retail Industry in 2021: Image source: hacker noonChatbots to help with customer service:AI chatbots provide an even higher level of customer service, improve searches, send notifications about new collections, and suggest similar products.
Tommy Hilfiger and Burberry have launched chatbots to help their customers navigate their collections.Price adjustments:AI applications for retail stores could help companies set prices for their products, visualizing the likely results of multiple pricing strategies.
Mood tracking will definitely help build stronger customer relationships.Big Data Trends Revolutionizing Retail and Improving Retail Analytics: Image source: ZDNetRetailers can embrace a new geo-targeting phenomenon to better target potential customers within the store.
By utilizing the in-store sales funnel, marketers can come up with the best opportunities that deliver the highest ROI from their marketing efforts.Big Data allows retailers to feed their ideas, including cut, color and price, to an algorithm that uses sentiment analysis to predict whether or not the ideas will be a hit with consumers.It also helps retailers react more quickly to competition and electronic competition, market changes, and other macro-environmental factors by recognizing early signs of growing demand or slowing down in terms of sales.
It helps to assign sku to the stores where the demand would be and price it in a way, so it would bring the maximum gross margin.AI is transforming the retail industry in 2021: Image source: itechtionsThe AI Transforming your business in the Retail Industry has seen a massive change in its base of operations in recent times, with many large brands choosing to reduce the number of on-site offerings in favor of online service.
The reason for this is simple, customers are now looking for the path of least resistance when buying their clothes, and this is best reported on the Internet.
