Artificial Intelligence (AI) is generally known for the ability of machines to perform tasks related to the human mind, such as problem solving. However, what is underestimated is that artificial intelligence is used in certain industries, such as healthcare.
The healthcare industry continues to grow as machine learning and artificial intelligence become more popular in technology in the digital age. Business Internal Intelligence reports that spending on artificial intelligence in healthcare is projected to increase by 48% annually between 2017 and 2023.
What Is Artificial Intelligence In Healthcare?
Machine learning has the potential to provide physicians and hospital staff with data-driven clinical decision support (CDS), which will pave the way for increased potential. Machine learning, a subset of AI designed to identify patterns, uses algorithms and data to provide automated information to healthcare providers.
Examples Of AI In Healthcare And Medicine
AI can improve healthcare by promoting the discovery of over-the-counter drugs and narcotics. Here are two examples of how AI is affecting healthcare
IBM Watson’s treatment, for cancer patients & the ability to recognize the Google Cloud Healthcare applications, that may makes it easier for the healthcare organizations, to collect & the access storage of data.
Business Insider Intelligence reports that researchers at the University of North Carolina’s Linberger Comprehensive Cancer Center used IBM Watson’s genomic product to identify specific treatments for more than 1,000 patients. The product analyzed extensive data to determine treatment options for people with tumors that revealed genetic abnormalities.
By comparison, Google’s Cloud Healthcare Application Programming Interface (API) includes offering CDS and other artificial intelligence solutions that help physicians make more informed clinical decisions about patients. The artificial intelligence used in Google Cloud takes data from users’ electronic medical records through machine learning, which produces data for healthcare providers to make better medical decisions.
Google has teamed up with the University of California, Stanford and the University of Chicago to develop an artificial intelligence system that predicts the outcome of hospital visits. This works as a way to prevent reading and reduce the number of patients staying in hospitals.
The Advantages, Problems, Risks & Ethics of AI In Healthcare
The inclusion of AI in the biological human services system has many benefits, including robotization of territories and breaking down huge patient information rates to deliver better social insurance faster and at a lower cost.
According to Business Internal Intelligence, 30% of human services costs are related to regular operations. Artificial intelligence can robotize part of these tasks, such as pre-approval protection, unpaid invoice tracking, and record keeping, to reduce the burden on social insurance professionals and ultimately save cash.
Artificial intelligence can disperse heavy signals of information, organize continuous experiments and fuel predictive inquiries. Quickly acquiring silent bits of knowledge allows the biological system of medical services to find important areas of consideration for patients that need improvement.
Portable social insurance innovation also uses artificial intelligence to serve patients more easily. Programming that uses AI, such as FitBits and smartwatches, can examine information to alert users and their health professionals to potential medical concerns and risks. Having the option to assess one’s well-being through innovation makes it easier for specialists to do their job and avoids unnecessary visits or cuts to the medical clinic.
Similarly, with everything AI, in healthcare innovation, they rely on information provided by people, which means that there is a risk that there may be alien bias in information gathering. Past competitions have shown that there is a possibility that coders’ bias and bias in AI may influence AI’s discoveries. In promoting critical social security, in particular, new ethical principles are needed to address and prevent bias around AI.
The Future of Artificial Intelligence in Healthcare
The use of AI in social security showcases is becoming increasingly important due to wearable innovation, modern medicine, and the company’s interest in transforming the overall computing age as a whole.
Emergency clinic and social insurance experts, like Google Cloud Platform, are seeing the benefits of using artificial intelligence in innovation and storing patient information in private code. Artificial intelligence enables experts and patients to more effectively access wellness records and review patient wellness information that has been recorded for some time using AI composite innovation.
Wellness organizations, startups, and health professionals are looking for better ways to integrate AI into the social safety net. And the faster we improve the human services framework through artificial intelligence, the faster the company will move towards betterment.