Medical Industry’s Changing Dimensions With Artificial Intelligence (AI)
In today’s world, we are surrounded by the technology everywhere and it has changed our daily lives in a vast manner. From first computer produced to the success of autonomous cars today, the technology has changed its face within last few decades and has shown great potential about how far it has come. And this transition just doesn’t stops here, in fact it is growing day by day with new technological inventions evolving in the market.
While if we debate about which technology has recently evolved as the fate of future, stated as the game changing and has posed huge impact in all fields from Mechanics to Computing and beyond that, Artificial intelligence (AI) is the only name which tops the chart. The concept of AI powered systems has empowered all the fields to engage with this technology to transform themselves to newer levels. But despite the progress that many other industries made, healthcare is likely to be the one market where artificial intelligence can truly have an impact that goes beyond convenience and will bring positive effects on human lives.
The health care for years have faced number of challenges and setbacks in different course of time. But the AI pundits have a strong feeling that this technology will give new dimensions to the health care industry as it has the capabilities to revolutionize the unimaginable tasks with in coming few years. Although many have fears that the aftermath of rapid increase in AI powered machines would eventually come on the face of humans in near future and excessive implication of AI machines could spell the end of the human race. But the other part of the community who have been seriously working with this AI topology for years, are fully convinced that this will prove to be the next successful era of cooperation between humans and machines.
Talking about the evolution of health care industry with Artificial intelligence, the thought comes out very clear is that the AI will redesign the medical industry completely. With the help of automated AI systems, medical professionals will explore new ways of designing treatment plans and finding the best suited methods for every patients. Artificial intelligence in health care would organize patient routes and treatment plans better, and will also provide physicians with literally all the information they need to make a good decision before recommending risky remedies. For which Google’s innovative “Project Deep-mind Health” is one of the finest recent example.
Google Deep-mind Health is the exploration of the AI research branch of the company, as they have designed this system which could be used to mine medical records in order to provide much better and refined results for faster health services. Google Deep-mind is able to process not hundreds, but thousands of present and past medical information within minutes to give accurate predictive treatments for the patients. Although research into such big data-harvesting and machine learning is in its early phase & working in a limited environment, as at the moment Google with its new AI-Healthcare system is cooperating with few organizations only like the one Moorefield’s Eye Hospital NHS Foundation Trust, where it is working with them to improve eye treatment operations.
Whereas another computing giant IBM has also recently introduced its dedicated AI powered system for healthcare industry. Its name is IBM Watson Healthcare. As the name suggests this system also belongs to the IBM Watson family, but it is specifically artificially powered for the medical industry. Currently, Watson healthcare is built to explore genomics and assist cancer diagnosis, making use of its strength with words. The Artificial intelligence deployed in it is able to read and interpret words through natural language processing and is pretty good at it.
Recently some medical experts tested the Watson Healthcare system by having the AI to analyze 1000 cancer diagnosis. In 99 percent of the cases, Watson was able to recommend treatment plans that matched actual suggestions from oncologists. Not only that, but because it can read and digest thousands of documents in minutes, Watson found treatment options human doctors missed in 30 percent of the cases. The AI’s processing power allowed it to take into account all of the research papers or clinical trials that the human oncologists might not have read at the time of diagnosis. Watson healthcare basically consists of two cognitive computing technologies that can be used by the AI algorithm within it, which is expected to help physicians make more informed and accurate decisions faster and to cull new insights from electronic medical records (EMR).
So today some people feel confident in trusting Artificial intelligence (AI) to drive it from one point to another point with higher standards, but it is also a fact that medical industry is still not ready to fully trust on AI to independently diagnose patient diseases. Yes, there are artificially designed intelligent healthcare systems like Watson and others out there in the market, but still we cannot categorize these systems as an actual replacement of the professional doctors. While advancements in machine learning and big data have contributed to healthcare by assisting in processing data and discovery insights much faster than humans can do. So AI working alongside with machine learning and experienced clinicians, is likely to continue to be the current course for many healthcare organizations for some time, and until we can prove that AI has what it takes to accurately diagnose patients, the expansion of its current use in healthcare is likely to be a careful and well-planned process.