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The adoption of artificial intelligence in the diagnosis and prognosis of disease could help to extend people's lives whilst providing significant savings for the NHS.
This is according to researchers from Cardiff University who have provided compelling evidence showing the benefits that state-of-the-art techniques can bring to risk assessments in patients.
Study - PLOS - One - Team - Researchers
In a new study published in PLOS One, the team of researchers has demonstrated how artificial intelligence can provide an equally accurate and reliable prognosis for patients with cardiovascular disease, compared to traditional methods.
The machine-learning techniques they used required no expertise or human interaction and therefore overcame a major bottleneck in the process.
Co-author - Study - Professor - Craig - Currie
Co-author of the study Professor Craig Currie, from Cardiff University's School of Medicine, said: "If we can refine these methods, they will allow us to determine much earlier those people who require preventative measures. This will extend people's lives and conserve NHS resources."
In an era of evidence-based medicine, the use of statistics has become a crucial part of estimating the risks of certain types of disease.
Clinicians - Statisticians - Task - Equations - Intelligence
Traditionally, clinicians and statisticians have approached this task by manually developing mathematical equations. However, artificial intelligence provides techniques that can uncover complex associations in the data.
"Although we already have reliable methods of forecasting people according to their degree of risk of serious heart events, artificial intelligence promises new ways of interrogating data and the likelihood of more reliable classification of risk," Professor Currie continued.
Study - Team - Technique - Programming - GP
In their study, the team trialled a technique known as genetic programming (GP) – a method inspired by evolution in nature whereby computer programs are encoded as a set of genes that are then iteratively modified or evolved.
GP is advantageous over algorithms produced by humans in...
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