Any mention of artificial intelligence (AI) brings to mind how machines could — or already do — perform tasks typically associated with the human mind. What however is more interesting is not its generic advantage but its specific uses in different industries.
How useful is AI in healthcare?
In healthcare, for instance, AI experts could leverage the power of machine learning (ML) to support hospital staff and physicians by providing clinical decision support (CDS) — i.e. assistance with clinical decision-making tasks — driven by data. ML uses algorithms to identify patterns in data and give accurate, timely, and automated insights to healthcare providers.
How has spending on AI in healthcare grown?
The work of AI engineers is driving the prevalence of technology in healthcare. According to Business Insider Intelligence, from 2017–2023, spending on AI in healthcare will grow at a CAGR of 43%. This brings wider advantages from AI sifting through huge sets of data to conduct predictive analysis and extract insights on patients.
What advantages does AI bring to healthcare?
AI facilitates the delivery of healthcare services at a lower cost and a higher speed than otherwise possible. This is possible due to AI experts analyzing big data sets from patients and automating certain tasks. The following are the positives of using AI in healthcare: