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Artificial Intelligence (AI) is commonly known for its ability to have machines performing tasks which are are linked and associated with the human mind. One of the examples is problem solving. When we hear 'AI', all that comes to our mind is robots and machines performing our jobs and rendering people obsolete. However, what is less understood is that AI is being used widely within specific industries, one of them being healthcare.

Artificial Intelligence (AI) in Healthcare greatly simplifies the lives of patients, doctors and other administrators in the hospital by performing time consuming jobs that are typically being done my humans. AI not only helps in reducing time to perform the job but also cuts down costs. From finding new links between genetic codes to driving surgery-assisting robots; Artificial Intelligence (AI) in Healthcare is reinventing and reinvigorating healthcare sector through machine systems that can comprehend, predict and act.

Here's an understanding of how AI can help in healthcare:

• Efficient Diagnosis and Reduction in Error:

In the year 2015, 10% of all the deaths in USA was a result of misdiagnosis of illness and medical error. In light of that, Artificial Intelligence Company came up with the promise of improving the diagnostic process.

• Developing New Medicines through AI:

One of the biggest AI breakthroughs in drug development came when researchers tasked a robot with researching functions of yeast. The robot scoured billions of data points to hypothesize about the functions of 19 genes predicting 9 new hypotheses. A lot of medicines were then developed through AI that boosted healthcare sector.

• Treating Rare Diseases with AI:

AI can be used to find links between chemicals in the human body which can help map diseases to accelerate the discovery and development of breakthrough medicines. Along with traditional R&D approach, 'Interrogative Biology' approach can develop more robust product candidates that fight rare diseases.

• Earlier Cancer Detection through AI:

AI can be used in diagnostic tests, screenings and blood tests to detect cancer in its earlier stages and consequently develop new, effective and cost efficient treatments.

• Streamlining patient experience through AI:

In the healthcare sector, time is money. Providing a seamless experience to the patients allows hospitals and physicians to treat more and more patients every day. New innovations in AI can help hospital staff to process millions of data points, faster and efficiently.

• Increased Access to Healthcare:

AI can be used to provide personalised healthcare including face to face appointments with doctors. A number of apps have been introduced that scan a patient's survey answers and then connects them via video with the required and right healthcare professional.

• Google's Cloud Healthcare application:

Artificial Intelligence used in Google Cloud takes data down the users' electronic health records and creates better insights for healthcare providers to make better decisions. This also helps prevent readmissions and shortens the amount of time the patients are kept in the hospitals.

• Mining and Managing Data with AI:

There are highly valuable information that can sometimes get lost among trillions of data points, thus causing a loss to the industry of around $100 billion a year. AI can help stop the data hemorrhaging by breaking down data silos and connecting in minutes the information that body takes years to process.

• Bringing AI to medical devices and machines:

In today's medical world, smart devices are imperative for monitoring patients in the ICU and elsewhere. Inserting AI algorithms into those medical devices can reduce cognitive burdens for physicians while ensuring that patients receive utmost care in as timely a manner as possible.

• Using smartphone cameras as powerful diagnostic tools:

The quality of smartphone cameras is getting better day by day and experts say that use of the cameras is a great opportunity for us. Smartphones can be used to collect images of eyes, skin, wounds, infections, or other subjects that may be able to help underserved areas to cope with a shortage of specialists as well as to reduce the time for diagnosis and get a better clarity of the medical wound.

• Creating precise analytics for pathology images:

AI can help do a better job of assessing whether a cancer is going to grow rapidly or slowly. AI can screen through slides and direct us to the perfect thing to look at, so doctors can assess what's important and what's not. Consequently, it increases the efficiency of the use of pathologist as well as the value of the time spent for each case.

There are many Artificial Intelligence Companies all over the world and in India as well that help not only the healthcare sector but various other sectors for better efficiency and results. Techasoft is one such leading Artificial Intelligence Company based in Bangalore, India that has a team of specialist AI and data scientists to ease the business and transform the traditional operating system info modern ones.