Synthetic data in AI in healthcare: the state of the art and its promise and perils
The advantages and disadvantages of synthetic data in healthcare
The advantages and disadvantages of synthetic data in healthcare
Data was pulled from electronic health records of nearly 100,000 adults who had tested positive for COVID-19 and machine learning models identified risk factors
The proliferation of synthetic data in artificial intelligence for medicine and healthcare raises concerns about the vulnerabilities of the software and the challenges of current policy
Stanford Cloud Computing lecturer, Timothy Chou and privacy lawyer Mirena Taskova present the most common misconceptions concerning privacy. Take the quiz. But be warned, the answers will surprise you!
An interprofessional perspective on research and care
Health Catalyst believe the route to a superior healthcare system is via superior data and analytics technology
How London’s UCL Institute of Health Informatics created an open-source database and 'Github' of phenotyping