Applying Artificial Intelligence in Healthcare Everywhere there is talk of the advantages that artificial intelligence (AI) can have for our daily lives and among its possible applications, one is the interest of health professionals in applying it to daily clinical practice. But, often, it is not specified when and how these professionals should use, or rather, in which cases their application should be prioritized. Health professionals can apply AI in their clinical routine, whether in emergency medicine or chronic care by means of decision algorithms. To make it easy, they ask: is the patient experiencing pain anywhere? they will then move on to a second question; Have the patient vomited? Do they have diarrhoea? Does the patient have a fever? How much? Do they have an extended stomach? And so on.
According to the answers, a clinical assumption or diagnosis will be made. This would be an easy decision tree to copy for AI application as one example. But there are decision algorithms much more complex, where current and previous clinical data are mixed, serum biology (also called
clinical
tests),
imaging
tests
(ultrasound,
radiographs),
electrical
records
(electrocardiograms, electromyograms) and, more recently - and in some cases - genomic analysis. This is where AI or artificial intelligence comes in healthcare to make the lives of