While some of these applications are in a burgeoning phase, modern advancements in artificial intelligence will continue to transform healthcare as we know it.
At its core, healthcare and medicine strive to improve or maintain health. Different facets of its goal include diagnosis, treatment, and prevention of illness and impairments to one’s quality of life. This idea has not changed, but the tools and technology we use in the field of medicine have. Artificial intelligence makes possible new ways to support health and practice medicine. While some of these applications are in a burgeoning phase, modern advancements in artificial intelligence will continue to transform healthcare as we know it.
Data Management
Artificial intelligence is poised to take on managing the massive amounts of healthcare data generated every day. Programs will collect, store, and analyze electronic health records from whole networks of systems to produce invaluable insights. Hopefully, the data management capabilities will enable providers and those working in other clinical settings to improve their services. Of course, this potential also sparks discussions on how to keep all this data secure. Artificial intelligence itself would be deployed to help security analysts monitor its system for cyberthreats.
Developing Drugs
Developing new drugs takes up a lot of resources to accomplish, costing millions of dollars over the span of several years. Artificial intelligence may just be able to shorten the overall development timeline and increase the production rate for safe and effective pharmaceuticals. Improving drug development presents the obvious advantage of more quickly treating patients and saving more lives. This is all likely done by using supercomputers to analyze the molecular structures of existing drugs to predict how these can be modified to combat new illnesses.
Design Treatment Plans
Artificial intelligence can personalize treatment plans by presenting clinicians and physicians with evidence-based options. A human medical professional would need to assess the patient’s particular health background and the medical issue at hand to decide on a course of treatment. It’s neither a good or bad approach, just a rather slow one. Instead, artificial intelligence programs can process all of the patient’s information along with external data, research, and expertise. The program would then recommend different options but still requires a trained medical professional to approve the treatment order.
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