AI Transformation in Healthcare

Globally, artificial intelligence is transforming infinite fields in uncountable ways along with the healthcare industry. However, machine learning is perplexing many researchers that up to what level it will alter the healthcare space. According to the report of Rock Health, 121 health AI and machine learning companies raised $ 2.7 billion in 206 deals between 2011 and 2017. And it is also expected, by 2026, AI could save up to $150 billion annually in the healthcare industry of the United States. Here are five points which helps you to understand the crucial role of AI in the healthcare industry.

Early detection

Sometimes, it’s difficult to examine the disease at the right time or predict the real factor behind the illness leading to crash. Therefore, AI models can be used to identify patients who are likely to crash. Many developed and developing countries are using machine learning techniques for the detection of cancer at early stages or before it got worse. Often mammograms are not so clear to predict the disease accurately which forced us to go for a biopsy. While implementing AI, we can get rid of unnecessary biopsies and can examine the mammograms more accurately and quickly.

Diagnosis

Around the globe, people disburse a vast amount of their income into healthcare. For the detection of drastic diseases clinicians advice for an unnecessary routine check-up and many other tests which ends up with wasting lots of money. Hence, AI can help us all while diagnosis the disease accurately and much faster than ever and will also save lots of patient’s money. This fast and hi-tech diagnosis feature of artificial intelligence helps in reducing the tests and saves the time of clinicians as well as patients.

Research

Research in healthcare is likely to be very expensive and time taking. Launching a drug into the market is one of the toughest tasks in the healthcare industry. Only a few companies have the caliber to launch its product into the market successfully. According to the California Biomedical Research Association, drug research takes an average time period of 12 years to catch the eye of a patient. But machine learning models can significantly cut the time period as well as the cost of researching a drug.

Treatment

Beyond diagnosis, artificial intelligence also helps patients to get a much better and advanced form of treatment. There are various web series like ‘Westworld’ and ‘Altered Carbon’ predicting the future features of AI in healthcare space. It suggests the most appropriate treatment of the particular disease. Robotics is the most advanced form of artificial intelligence. It aids in complex surgeries and operations, making it as simple as possible. Robots have taken over on repetitive task in surgeries and operations which results in saving lots of time of clinicians and patients.

Conclusion

The benefits of artificial intelligence are indisputable forcing pharmaceutical brands to invest more money. And it’s obvious that machine learning models will upgrade the healthcare industry to an unbelievable advanced level.

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