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Artificial Intelligence (AI) is known for administering machines that perform tasks associated with the human mind.

Out of all the varied industries in the world, the health industry has indicated increased demand of, and therefore experienced, revolutionizing tends the most. This revolution has been mainly observed in terms of rising utility of technology in the health sector.

With progression of time the world has become familiar with technologies such as Artificial Intelligence and Machine Learning being put to use in a myriad of ways. The introduction of these technological tools in the health sector has carried the purpose of serving the industry by creating possibilities of providing improved health care.

The Need for Artificial Intelligence in Healthcare Sector:

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Similar to every other sector, the future has arrived for health-related industries as well. AI and Machine Learning have played a key role in providing solutions to health-related realms. This includes handling of patients’ data, development of new medical procedures and the treatment of chronic diseases, etc.

The ability of Machine Learning to provide medical staff with a data-driven Clinical Decision Support System (CDSS) has established ways for enhanced health services for patients and increased revenue for the industry.

Besides being a cause of improved health services and better revenue generation, AI has proselytized the production of preventive medicines and the discovery of new drugs necessary for the health sector.

In this write up we will guide our readers about the augment of Artificial Intelligence in the health sector and see how it has demonstrated itself as imperative for the advanced approach to health-related complications.

Let’s take the discussion further, shall we?

Here is why we believe AI will establish itself as a dire need for the health sector in the near future:

1. AI and Machine Learning Assist in Diagnosis of Diseases:

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Artificial Intelligence and Machine learning (AI/ML) have emerged as a pathway to cater to the health related needs of a rising global population and the diagnosis of diseases that have manifested alongside. Innovative mediums have presented themselves as effectual tools for medical staff as far as diagnosing medical conditions, monitoring health epidemics, developing treatment plans, and devising treatment procedures beneficial and convenient for patients.

2. The Need for Robots in Health Sectors Goes Beyond Surgical Use:

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Health care sectors have worked with robots for considerably long now – mostly for assistance in surgical procedures. However, with advancements in AI and ML robots will be able to assist more so with carrying out diversified tasks in the coming years. For instance, AI-enabled robots can help doctors in treating patients via telepresence. Robots can also help with transportation of medical supplies, disinfection of hospitals, automating medical devices and more.

3. Wearable Tech, More Than Just Your Jog Partner

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Wearable tech brings forward devices that tell people much more than how many steps they have taken. These devices are used to monitor heart rhythms and blood pressure, and help detect atrial fibrillation while sending a report to the doctor too. Wearable tech has capabilities that render it beneficial for consumers – it becomes an effective tool of proactive health care for those who utilize it.

4. AI Supported 3-D Printing Helps in Replication of Patient-specific Organs:

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3D printing technology provides prototyping, customization, research and manufacturing services in healthcare sectors. In the healthcare sector, one of the most beneficial aspects of 3D printing is its employment in the replication of patient-specific organs. The technology assists in the preparation of procedures related to organ replication. The development of prosthetic limbs, the printing of tissues as well as organs has become economical, thanks to 3-D printing technology.

How AI Helps Personalize Health Care:

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Digital assistants like Siri and Alexa by Apple and Amazon respectively, are already using AI to serve as a personal assistant in varied capacities by consumers. From reserving restaurants, scheduling meetings and even picking up calls, there’s less work left for humans to necessitate taking help from others. With AI assistants working in the healthcare industry, it would be therefore not an overstatement to say healthcare will continue to become personalized with the passage of time.

Here’s Why We see AI as a Digital Assistant for Personal Healthcare:

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Monitoring patients’ health condition, transmitting results to healthcare providers involved with individual cases, arranging virtual and face to face medical appointments – by all means it looks like the future of digital assistants is full-time employment in healthcare – companions to patients who hire their services.

AI utilization in healthcare is projected to grow at an annual rate of 48% between 2017 and 2023 according to Business Insider.

Our secret ability to look into the future coupled with our superpower of judging the present tells a little more:

Currently the two most obvious demonstrations of AI impact on healthcare constitute of IBM Watson and Google Cloud’s HealthCare API.

Watson, IBM built a question-answer computing system that helps in the treatment of cancer. AI technology pinpoints treatment for cancer patients.

On the other hand, Google Cloud’s HealthCare API is beneficial for healthcare related organizations – it helps in collection, storage and access of patients’ data.

Health and Tech companies are finding new ways to establish AI and ML in the health market. With the speed at which the world is investing in the spread of these digital mediums, we believe the future of AI in healthcare sectors is glowing bright. The companies associated with health and technology are keenly focused on providing AI-based digital assistants, that would perhaps run the best with logistic support from the likes of BuyTvInternetPhone – needless to say the healthcare industry is enthusiastically diving deeper into the realm of digital health.

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