HOW AI CAN MAKE HEALTHCARE BETTER?
AI and Healthcare
The potential for AI in healthcare is vast. AI is increasingly a part of our healthcare ecosystem.
Here are the eight ways that showcase how this transformation is currently underway.
The use of AI in consumer health applications encourage healthier behaviour in individuals and help with the proactive management of a healthy lifestyle. It puts consumers in control of health and well-being.
: AI is being used to detect diseases, such as cancer, at an early stage. AI is enabling review and translation of mammograms 30 times faster with 99% accuracy, reducing the need for unnecessary biopsies.
:IBM’s Watson for Health is helping healthcare organizations apply cognitive technology to unlock vast amounts of health data and power diagnosis. Google’s DeepMind Health is working in partnership with clinicians, researchers and patients to solve real-world healthcare problems.
Using pattern recognition to identify patients at risk of developing a condition – or seeing it deteriorate is another area where AI is beginning to take hold in healthcare.
AI can help clinicians take a more comprehensive approach to disease management, better coordinate care plans, and help patients to better manage and comply with their long-term treatment programmes.
END OF LIFE CARE
Robots and AI have the potential to revolutionise end of life care, helping people to remain independent for longer, reducing the need for hospitalisation and care homes.
Drug research is one of the more recent applications for AI in healthcare. By directing advances in AI to streamline the drug discovery; both the time to market for new drugs and their costs can be reduced.
AI allows those in training to go through naturalistic simulations. And training can be done anywhere; with the power of AI embedded on a smartphone, quick catch up sessions will be possible.
The use of AI in health has already brought multiple benefits to healthcare stakeholders. Learn more about interesting use cases of AI in other fields.