‘AI in Healthcare’ is a term that simply refers to the use of AI in healthcare.
Healthcare? Healthcare is the distribution of services which relate to medical care. Healthcare systems are established to suit the health requirements of a certain population, according to the World Health Organisation (WHO), and more generally, to improve and maintain the health of individuals in a community.
So, an example of AI in healthcare would be the use of AI (specifically, machine learning algorithms) to predict the probability that a patient is suffering from a particular disease, based on some information that can be collected from them, like certain blood levels, age, and so on.
In recent years, the use of technology and AI in healthcare has increased rapidly, and continues to increase. The huge amounts of available healthcare related data (think about it, most visits to the doctor collect some biological data from you), enable AI and ML algorithms to be developed which can be implemented within healthcare systems and used to support, assist, or lead doctors in their decision making processes relating to patient care every day.
The implementation of AI in healthcare can allow for the early detection and diagnosis of diseases in patients. This can save many lives, as doctors can provide more specialised care and treatment to these individuals.
Techniques and structures used in the implementation of AI include artificial neural networks, convolutional neural networks, and Bayesian networks.
AI in healthcare is an ever changing and fast moving field and promises to bring new innovations which further advance the efficiency and potential of our healthcare systems today.