Artificial intelligence (AI) can play an important role in healthcare. It is important to note that AI does not replace healthcare professionals, but rather assists them in their decisions and interventions.

Here are a few examples of how AI is being used in this sector :

Medical research

AI can accelerate medical research by analysing vast research databases, identifying patterns and associations between risk factors and treatment outcomes. This can help discover new therapies, identify new drug targets and improve understanding of diseases.

Detection of diseases

AI can be used for the early detection of certain diseases, such as cancer, heart disease, diabetes, etc. By analysing patients’ medical data, AI can identify risk factors, early markers of disease and provide recommendations for appropriate screening tests.

Medical diagnosis

AI can help doctors make more accurate diagnoses by analysing medical data such as symptoms, medical test results, medical images and more. AI algorithms can detect subtle patterns and signals that might escape the human eye, helping to identify diseases earlier and recommend appropriate treatments.

Decision-making support

AI can help doctors make informed decisions by providing evidence-based information and recommendations. AI algorithms can analyse vast amounts of medical data, clinical research and patient records to help doctors choose the best treatments for their patients.

Patient monitoring

AI can be used to continuously monitor patients’ vital signs, such as heart rate, blood pressure, glucose levels, etc. AI systems can detect abnormal changes or worrying trends and alert doctors for rapid intervention.

Medical robotics

AI is being used in medical robotics to assist surgeons in complex operations. AI-controlled surgical robots can help improve the precision, stability and safety of surgical procedures.