I just came across a great paper describing the difference between anonymization vs pseudonymization. Both represent important methods for protecting the privacy of patients whose data take part in studies and are analyzed by artificial intelligence. Currently, these are the most widely used privacy preservation techniques for medical datasets: 1) Anonymization is the removal of private data from a medical record. Simply, they delete parts of data such as name, gender or age. 2) Pseudonymization is the replacement of sensitive entries with artificially generated ones. They simply replace data such as name, gender or age with synthetic ones. It's harder than it sounds. Interestingly, the paper concludes that "De-identification by naive anonymization or pseudonymization alone must therefore be viewed as a technically insufficient measure against identity inference." But authors don't leave us in the dark, but recommend techniques that can indeed enhance patients' privacy. Check it out: #ArtificialIntelligence #privacy #anonymization #pseudonymization #HealthData …see more