Why We Must Trust AI for the Healthcare System?
Technology

Why We Must Trust AI for the Healthcare System?

 

We live in a world of artificial intelligence or AI, and there are no doubts about it. No matter how hard you try to deny, unless you’re a nomad, you’re influenced by artificial intelligence’s growing network in one form or the other. It starts from the most indispensable part of our lives, called technology, and extends to finding out the secrets of the universe and more. Between that, artificial intelligence has its claws deep into several industries, including research and development, business, economy, lifestyle, e-commerce, and healthcare.

Why AI is the Key?

If we casually take a look around to discover what companies trying to make it big are doing, there are a majority of chances that we will find them using AI in one form or the other.  After all, artificial intelligence is the key to carving a niche in the market, sustaining one’s business, and making it big among the customers. Most of the successful organizations around the world are implementing artificial intelligence in their business core and products so that they can stay afloat with the changing trends.

Another reason why artificial intelligence has gained popularity is that because of the people out there. As customers, their demands are ever-increasing. Be it their increased rationality in modern times, exposure to a wide number of digital platforms, accessible knowledge of every little thing, or the standard maintained by top-class organizations who are already utilizing AI to impress them.

These and many more such factors are doing nothing but shifting the market scenario and raising their expectations from every other brand and organization. As a result, this is putting stress on the small and medium enterprises that still stuck onto their conventional methods of doing business. But, that’s not going to work as the future draws upon us. Be it the field of business or any other industry. AI is the key to catering to people’s demands more efficiently and rapidly.

While a business can wait, it is the healthcare industry that requires the most attention of cutting-edge technologies like artificial intelligence and machine learning. After, all it’s about people’s lives who are at stake due to lack of medical facilities, improper treatment plans, and haste medical decisions by burnout doctors and experts.  And then the figure of the rising population that is constantly putting the pressure on governments, institutions, and medical organizations to scale up their facilities and treatment plans and accommodate those who are needy.

But the fact of the matter is that no matter how much institutions scale their services or whether the government opens more hospitals and clinics, there is nothing that can beat the rising population and growing healthcare challenges around the world. Right from common diseases for which most medicines out there have side effects, let’s not even come to question rare cancers to one in a million genetic diseases. The healthcare industry still lacks plenty of answers to some life-threatening questions. And no matter how much intelligence we deploy or even if we go on an endless hunt to recruit more and more doctors, the problem will not be solved. On a mathematical scale, the rate at which the problems if the healthcare industry is increasing is far greater than the solutions that are currently being deployed.

 

 

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AI is Revolutionizing Healthcare

But thanks to artificial intelligence, if not immediately today, we can claim to be at par with the healthcare problems in a few years from now. For those who are already utilizing the AI technology in healthcare space has claimed significant results and improvements in their organization. Most of the people in the medical industry are occupied performing the paperwork and feeding the customer data when they should be investing time drawing inferences from it.

Similarly, the allocation of resources in a hospital is unimaginably complicated, with people running around haphazardly and no clear instructions to utilize them. AI, on the other hand, aims to solve these problems by helping organizations and medical staff predicts the footfall of patients on any particular day.  All they need is some existing and historical data, and with deep learning models to the job, everything becomes crystal clear in a few moments.

Reducing Medical Burnouts

The rest of the manual tasks are automated using deep learning neural network-based models. When these are efficiently managed the risk of misdiagnosis and medical error also goes down, because it is done by an automated and precise machine. Furthermore, statistics suggest that as many as 79 percents of the healthcare professionals indicate that artificial intelligence-based tools helped them mitigate conditions of clinical burnouts. Less burdened medical staff means they will be utilizing more of their time in actual patient care. This is just an example of why artificial intelligence is not just an option but a turning necessity in the healthcare industry.

Breast Cancer Prediction

In an interesting research by the tech titan Google, an artificial intelligence-based algorithm was able to predict the chances of breast cancer in women more effectively than a doctor. The algorithm analyzed samples of over 76000 women in the UK and 15000 in the US to detect cancerous cells in the mammograms of women who were already suffering from the disease. The algorithm not only excelled at detecting cancer but also reduced the existence of errors that commonly occurred in diagnosis.

Intelligent Symptom Checker

Another example of the excellence of AI is Buoy, an intelligent AI-based symptom, and cure checker. It uses an advanced algorithm to diagnose and treat illness by listening to a patient’s symptoms and health concerns, then guiding the patient to the correct care based on the diagnosis.

Conclusion

Artificial Intelligence (AI) is undoubtedly spreading its impact in the field of healthcare and showing remarkable results. Those who are still doubting the technology,  are losing out on a lot of time to provide care to their patients. At the same time, those who are utilizing healthcare software development are planning ways to improve and enhance it so that even better results can be delivered.

James
James Warner is a Business Analyst / Business Intelligence Analyst as well as experienced programming and Software Developer with Excellent knowledge on Hadoop/Big data analysis, testing and deployment of software systems at NexSoftSys.
https://www.nexsoftsys.com/

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