Artificial intelligence in healthcare: from promise to everyday reality
From diagnostics to personalised medicine, AI is already transforming clinical pathways and the organisation of healthcare
27.05.2026
Although the widespread use of Artificial Intelligence in healthcare is relatively recent and research in this field is constantly evolving, we are no longer talking about the future but about a concrete reality that is already redefining the relationship between doctors, patients and hospitals. The figures confirm this: according to the American Medical Association, over 80% of doctors already use AI tools in their professional practice, more than double the figure from just three years ago. This change affects diagnosis, research, monitoring and the personalisation of care.
The practical applications of Artificial Intelligence in healthcare are becoming increasingly widespread and are helping to make treatment pathways faster, more accurate and more personalised. • Diagnostic imaging: X-rays, CT scans, MRIs, mammograms and histological slides are analysed with a precision that rivals (and in some cases surpasses) the clinical eye. • Drug discovery: Billions of chemical compounds analysed in a matter of days, predictions on the bioactivity of molecules, accelerated mapping of variants for vaccines. • Personalised medicine: By cross-referencing clinical data, genetic profiles and lifestyle, AI helps to develop tailor-made therapies: more effective, with fewer side effects. • Continuous monitoring: Dynamic treatment protocols that adapt to the patient’s progress over time.
The practical applications of Artificial Intelligence in healthcare are becoming increasingly widespread and are helping to make treatment pathways faster, more accurate and more personalised. • Diagnostic imaging: X-rays, CT scans, MRIs, mammograms and histological slides are analysed with a precision that rivals (and in some cases surpasses) the clinical eye. • Drug discovery: Billions of chemical compounds analysed in a matter of days, predictions on the bioactivity of molecules, accelerated mapping of variants for vaccines. • Personalised medicine: By cross-referencing clinical data, genetic profiles and lifestyle, AI helps to develop tailor-made therapies: more effective, with fewer side effects. • Continuous monitoring: Dynamic treatment protocols that adapt to the patient’s progress over time.