Category: Artificial Intelligence

  • Doctor as a Service (Predict before prescribing)

    Doctor as a Service

    “Doctors are considered the most overburdened professionals as they need to get into a patient’s overall health, lifestyle, genetics etc. Each patient has a different body and lifestyle which makes it more difficult to check for the medicine and suggest a better routine. Doctor as a Service can be such a system to help doctors or directly help the patients to have a better life.”

    Can technology fill some gaps here?

    Machine Learning / Artificial Intelligence is filling up a lot of gaps in each profession. Medicine has been a very important domain and requires a lot of attention in today’s world. The latest spread of CoronaVirus is a dangerous phenomenon which can take away a lot of human lives. I will be writing another article on tackling such scenarios later. For now, I would like to see advancement in the current style of prescribing by the doctors.

    Today if you visit a doctor, he will ask for your medical history, check the latest diagnostic reports, check your body for symptoms and then go on to prescribe the medicine. This way of prescribing the medicine works perfectly alright when you are suffering from fever, cough, headache or a condition which are general complications. But when it comes to prescribing for chronic diseases like Diabetes, Hypertension, Cardio etc., then a doctor has to do some guesswork or hit and trial before prescribing a long term medication to keep the condition in check. Technology can be of great help here and fill up this gap of guesswork. The current era of ML/AI can take out the guesswork out of the prescription.

    How can it be achieved?

    We all know that Artificial Intelligence needs data to process and suggest a future scenario. Any ML/AI algorithm which provides 80% accurate results is considered to be mature enough to be applied in real life.

    To achieve this, we should first target the medical history of a large number of patients in the last few years. The next step would be to categorize this data as per age, gender, weight, height, physical activity, family history etc. As humans are different, so as their need for medication. With all the advancement in technology, we have also matured enough in Genetics engineering, which can be a sure-shot path for having such a prediction system. Today, a large number of doctors prescribe with their understanding of the other patients. There is no way to look at the gene structure of a patient. Having such important info available with the System can bring a revolution.

    What Doctor as a Service bring to the table?

    Doctor as a Service will be an important step towards revolutionising the healthcare industry. Doctors are ultimately humans and they do tend to make mistakes which jeopardize the long term health of the patients. If we have such a system in place; then it can suggest medication with better accuracy and fewer side effects.

    In a few countries, doctors are biased as well where they prescribe medicine based on the commission they receive. We can keep a check on such practices if we can reduce the human intervention. There are instances where doctors don’t guide patients to do exercise, eat better food. Although, they are very much aware internally that if this patient changes his routine to reach a level of physical activity, then he can get rid of medication. But we see that doctors keep calling such patients to collect fees.

    There are places where doctors are not easily available. If Doctor as a Service comes into existence, then it would be easier to provide medical help to the patients. A few African countries can be the most beneficial after the invention of such a system.

    “A good physician treats the disease, the great physician treats the patient who has the disease.”

    Check out more such areas where AI/ML can be implemented –

    a) Entertainment-as-a-Service

    b) Tennis-as-a-Service

  • Redmi Note 7 Pro – Camera AI at its best

    “It’s going to change the way we have been clicking photos on mobile. The Advanced AI program in Redmi Note 7 is one step ahead.”

    Few years back, we used to be obsessed with the Camera Hardware – MP – aperture etc. It is all changing now as we are getting more dependent on the software as well. Hardware is still something important but its the software which has taken the lead to deliver better photos. Although, Xiaomi has taken a step ahead in providing 48 MP camera in Redmi Note 7 but more than that its the software which is the key feature. Xiaomi is launching Redmi Note 7 on Feb 28, 2019 – Official Site

    Fastest adoption of AI is through Mobiles

    Mobile penetration has been the highest in the last few years thanks to the organizations like Xiaomi who are providing good hardware phones to the consumers. Due to stiff competition in the mid to low segment market, all the big players are being forced to launch their products also at similar ranges. Samsung with their M-Series and Sony with their Xperia range are also trying to tap this market.

    As there is higher penetration of mobiles with consumers, so they become the best playground for AI technologies as well. Camera being the best beneficiary of this technological advancement. It is the most used feature in today’s time as almost all the phones have cameras. And providing the best AI algorithm will make more sense in delivering better.

    Beautify 4.0 from Xiaomi is one step towards providing the best AI in their phones. The algorithm which is clearly a step ahead in this segment and supported by the hardware can deliver amazing results.

    How far we can go in this race?

    The race to deliver better at the least price is on. Xiaomi being the front-runner has a lot of advantages as they have put their mind, body and soul in delivering the best products at the least prices. They have already been good at delivering MIUI which has now matured enough to deliver an awesome experience which is better than Samsung/Sony Software.

    AI is now a priority for these mobile manufacturers as it will change the game in delivering better experience in terms of camera, digital assistants, better search results etc.

    All Xiaomi fans are eagerly waiting for the launch of this marvel – Redmi Note 7 and hoping for a top notch product to give them excellent features. The launch on Feb 28, 2019 will be a game changing event to watch out for.

    Xiaomi finally launched it’s new Redmi Note 7 Pro on Feb 28, 2019 with amazing price of Rs. 13999 for 64GB variant and Rs. 16999 for 128GB Variant.

  • Open Your Eyes through Facebook AI

    Facebook AI - the cloudblog.in
    Facebook AI – New Possibilities – thecloudblog.in

    “Do you feel sad when you see an excellent photo clicked, but find the eyes of the person closed in it? If the answer is yes, then this solution from Facebook can help – Facebook AI. “

    I would call it a much needed innovation where the whole world is concentrated on clicking images of themselves and their dear ones. A large amount of images captured are not up to the mark and we always thought of clicking it correctly. Facebook being totally dependent on its users who uploads loads of  images everyday and some are not being uploaded due to issues. This will now make those images relevant and will get uploaded. This technology being available on Facebook only will create better positioning for them as well. I would say that this is a step in the right direction. Facebook will be giving more value to its users and earn their loyalty through this. So, be ready for Facebook AI to save our day.

    Innovation is the key

    If we look at the world from top, then you will see that its kind of saturated with its issues and approach. The big organizations are finding it hard to move ahead. These organizations and their visionary founders are looking towards space, Machine Learning capabilities, Artificial Intelligence, Medical  innovations etc. Every business you run always has scope to move ahead. The only thing you need is to look for different arenas which can help you deliver more to the customer. Facebook being a social platform provides functionalities which give more so that they stick to this platform. No need to mention the players like Amazon, Google, SpaceX, Tesla – who are the front runners in innovation and are advancing ahead a fast pace.

    How do you identify areas to deliver more to the customer?

    Sometimes we avoid small things which might be a big chunk but is not recognizable. Just like this innovation of opening the eyes by Facebook AI, it looks like an issue which happens due to the devices owned by the users, or their imperfection to take shots or may be due to lighting. It looks like something not created or owned by Facebook, but they identified it as an area where they could get more loyalty from its users by delivering better experience and renewed memories.

    Eyes being closed is mostly common when we click images of kids which are usually our best memories. As it could not be clicked correctly, we used to delete or discard such images. But now we have this innovation from Facebook to assist us. Facebook will allow this functionality to be used only when you upload images to Facebook ,will create more content for the social platform.

    I would say opportunities are everywhere which could be due to someone else but you can always take a step ahead and deliver better.

    How Facebook AI plans to achieve it?

    This is like photoshopping your images without using Photoshop. If you are a designer, then you must have heard of Adobe Photoshop. It’s a popular tool which is used by designers all over the world to create graphics for web/print etc. What Facebook AI has achieved, was previously being done by designers with this tool…of course it needs a very good tool knowledge. So, bringing the eyes to life is an achievement as it is now being done through a program without intervention of any designer or any tools.

    Now, let’s look at how they would have worked on the algorithm to achieve this important milestone –

    a) Again, Data is the key

    b) Find previous images to understand your eyes structure

    c) Find face dimensions from current images and previous images from library

    d) Calculate the size of the eyes by checking the face dimensions in the image

    e) Change the size of the eyes copied from other images

    f) If this is the only image available, then you probably need to supply some images. Or, wait for some guess work to be implemented

    g) If its the only image, then be prepared for some surprises. Without any sample availability,  it will be tough to guess the exact eyes structure, its colours, dimension etc.

    These are some of the steps which this algorithm will have to go through before achieving the right output.

    If you have given deep thoughts into AI algorithms and feel that there could be more steps which would be required, then do share your thoughts in the comments section below for everyone to understand.