Artificial intelligence is already being used in health care to classify symptoms, to evaluate a CT scan or electrocardiogram, or to identify high-risk patients using big data.
For some disorders, artificial intelligence algorithms can aid diagnosis, identify recommended treatments, predict therapeutic outcomes or contraindications, and through telemedicine devices monitor a patient’s progress.
Moreover, privacy issues are very relevant in this area because the data provided to AI are highly sensitive.
Artificial neural networks are being used as clinical decision support systems for medical diagnosis, while machine learning is already being used for drug design.
Artificial intelligence is being applied in research to analyze increasing amounts of available data and applications, mainly for classification, regression, clustering, prediction, generation, discovery and development of new scientific insights. AI will change the pharmaceutical industry through so-called “combination products,” which integrate drug delivery systems with AI algorithms and process biological feedback data in real time.
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