Big data, telemedicine, IoMT, and others — the healthcare industry is driven by digital transformation nowadays. However, it may be difficult to follow all the trends. One of the best choices is to focus on artificial intelligence (AI). Before you start learning how to get data ready for artificial intelligence in healthcare, it is important to get a clear idea of how AI may be used in the industry.
General Information about AI
Artificial intelligence is related to building intelligent machines capable of performing various tasks and making decisions. Basically, such machines can do some things instead of people. AI is associated with the development of the following three core cognitive skills:
Learning. This process is related to acquiring data and setting rules on how it can be used;
Reasoning. This skill is related to picking an accurate algorithm to achieve a desired goal;
Self-correction. This function of AI development is related to making corrections for achieving the best possible results.
AI in Healthcare
There are different things that effective treatment depends on, including correct and quick diagnosis and choosing a correct treatment plan. AI in healthcare is used for completing these tasks. It is capable of analyzing large data, detecting important connections in a data set, choosing right solutions, and more. AI is used for finding links between genetic codes, running surgical robots, detecting cancer at early stages, developing new medicines, and for many other purposes.
Such technology can significantly simplify the lives of all parties involved in the healthcare industry. It has a potential predicted to reach about $150 billion by 2026.
Thanks to AI, it is possible not only to treat diseases more quickly but also to prevent their occurrence or diagnose them at early stages, which will result in greater treatment effectiveness. Thus, we can expect AI to play a major role in healthcare in the nearest future.