Trustworthiness of AI: the key to future medical use
AI is slowly becoming integrated into medical practices around the world. But how can we bridge the gap between the systems being developed by research and industry in ophthalmology? A team of UvA researchers studying the use of AI in health, and specifically in ophthalmology, believes the key lies in the trustworthiness of the AI, as well as in involving all relevant stakeholders at every stage of the production process.
In ophthalmology there are currently only a small number of systems regulated and even those are very seldom used. Despite achieving performance close to or even superior to that of experts, there is a critical gap between the development and integration of AI systems in ophthalmic practice. The UvA research team studied the barriers preventing use of these systems and how to bring these barriers down. They concluded that if the systems were finally to see widespread use in actual medical practice, the main challenge was to ensure trustworthiness. To become trustworthy they need to satisfy certain key aspects: they need to be reliable, robust and sustainable over time.
Already available in an open access version, the paper will soon appear in the publication Progress in Retinal and Eye Research. The full study “Trustworty AI: Closing the gap between development and integration of AI systems in ophthalmic practice” can be found here.
From September onwards Amsterdam Data Science will merge media channels with Amsterdam AI. Any online activities you are used to will continue on the Amsterdam AI channels. So please register below to stay up to date!
Amsterdam Data Science is excited to announce the next step in joining forces with Amsterdam AI. Together, we will support Amsterdam’s development as an international hub for Responsible AI.
The UvA Data Science Center is announcing a groundbreaking research program to align artificial intelligence (AI) for the interpretation of video data with human values and ethical principles.