Gadgets, neural networks and health

We will not be mistaken if we say there are hundreds and thousands of mobile applications related to health on the market. We find a lot of programs that allow you to monitor the pulse rate, the covered distance and the calories spent on the Internet. Now it’s not surprising the existence of a fitness trackers.

  In the sphere of IT development in medicine have taken a leap into the future. Advanced gadgets can be classified as devices for monitoring, diagnostics, temporary therapeutic effect and assistant systems. Now artificial intelligence is in the active stage of its development. Let’s try to imagine what advanced devices it is able to work effectively.

Monitoring – I have eyes at the back of my head

Many of us have seen monitors in the special care ward in the hospital. Such devices are expensive and collect set of patient’s indicator condition.  The startup team CareTaker decided to make medical monitoring easier and cheaper, and created a device for the home.

The gadget is hugely cheaper, but the measurement accuracy does not suffer. The professional device level has already been confirmed by the FDA. For example, some patients can leave the hospital, and the doctor will receive on-line information about their condition.

The blood glucose meter Dario can collect analysis findings of carbohydrate metabolism and is operated by any smartphone. If it is necessary, the analysis findings are sent to the attending physician. The system provides nutritional advice and gives recommendation on daily regimen offline.

Put the case that the gadget is connected to a medical neural network. The program processes the data and sends the recommended dose of insulin into a smart syringe, which is located at the patient’s home. The dose will be received with normalizations, as a result supporting treatment will become even more effective.

Diagnostics or artificial intelligence doctor in your home

A graduate of the Massachusetts Institute of Technology has created a prototype home diagnostician. The device is a mirror with an integrated camera that receives high quality medical images. Currently, the system can analyze the appearance of a person: black circles under the eyes, skin color, pulse rate. Current information is displayed on the screen. This is the same mirror.

In medical image analysis, artificial intelligence has risen to higher levels of accuracy. Let’s imagine such a camera is connected to a neural network. That kind of diagnostics will get to the new level. Some pathologies will be disclosed already at an early disease, when you just look in the mirror in the morning.

Scanadu Scaut allows disclosed cardiovascular disease at an early stage. The device is a plastic disk with a set of detectors, and it detects the pressure, pulse, temperature and blood oxygenation saturation. Data acquisition takes place in 10 seconds, you only need to touch the disk to the forehead.

The system allows you to give an appraisal of the profile state in any situation: at home, in training, on a journey. Disclose a critical state at an early stage will get out of the rain. It is no secret in the rating of unexpected deaths heart disease has been making the top three for many years.

Therapy – there is no need to visit a doctor

Now it is difficult to imagine in the present level of IT development in medicine, it is not a person who is engaged in the treatment of health problems, but a machine. However, exclusive devices have already hit the market.

Chronic pain prevents us from doing business, it disturbs sleep. The Quell neurostimulator generates weak electrical impulses that block pain signals to the brain. The device is fixated in the form of a bandage on the legs and it can be controlled using a smartphone. The gadget does not replace the doctor and it specific to temporary use. However, the idea deserves attention as a prototype for more complex systems working in tandem with artificial intelligence.

Assistant without the need for the salary

Routine task in a medical institution takes up much of staff’s time. We also often treat the doctor’s instructions carelessly at home.

Tricella Pillbox is a small multiple smart pillbox, like a usual pillbox. The difference is the device opens only certain cellule in accordance with the doctor’s instructions.

The Augmedics system allows the physician to add data to the case-record while communicating with a remote assistant during the patient’s examination. The software application is powered by Google Glass smart glasses. Today, the assistants are the English-speaking residents of India, but let’s imagine the opportunities and benefits can be obtained from the joint working of the program with artificial intelligence. Quickness, efficiency, the ability to pre-diagnose and order additional tests automatically.  Today, any hospital will pay trough the nose for such an assistant.

Medical neural networks are still taking initial steps on a market, but our view is that they’re destined for greatness. There are problems of information transfer standards, problems of accuracy of the received data and problems of take off data’s methods. In addition, there are issues of ergonomics and ease handling of medical gadgets.  However, in 10 years we can become the owners of watches will stand guard over our health. Does anyone remember those times when a 5-megabyte hard disk weighed more than a ton?

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