Artificial intelligence (AI) is transforming all industrial sectors by enabling machines to perform tasks that usually require human intelligence. Indeed, it is causing a paradigm shift in the healthcare industry. Protecting innovations concerning AI-enabled healthcare products is important to gain a competitive advantage, promote innovation and continue encouraging investment into research and development.
To create AI-enabled healthcare products, a combination of mathematical models, methods and algorithms are employed in the processes of training, testing and deploying the models in a software solution. Vast quantities of healthcare data (eg, electronic health records and medical images) are subjected to the AI model development process, or machine learning pipeline, to develop trained and tested models that can be deployed in software to provide a real-world healthcare application.