Overcoming the regulatory challenges of smart active ophthalmic devices
The ophthalmology world is welcoming a new wave of sophisticated implant technology designed to transform diagnosis and treatment.
The ophthalmology world is welcoming a new wave of sophisticated implant technology designed to transform diagnosis and treatment.
The digital future of ophthalmology comes with the promise of improved patient access, better quality of care, reduced workloads, optimised efficiencies and improved quality of life for patients and HCPs. There are many challenges to be overcome, not least the need to develop data, workflows and technologies in tandem. One example core example is how to best unlock successful home monitoring for ophthalmology.
A select group of thought leaders gathered at Cape Cod, by the shores of the Atlantic Ocean. They were there to collaborate, to challenge conventional thinking, and ultimately to shape a realistic vision for the future of ophthalmology.
What is semi-supervised machine learning? And what could it mean for the research and development of AI-powered digital medical systems? Andrew Goulter reports on state-of-the art deep learning research that promises huge savings in the time and expense of development.
AI will transform business and society, but concerns remain over AI ethics, AI security and much more. Here, CC experts explain how AI assurance can be the protection for the future of your business or organisation.
While exploring some of the details of CC’s workshop approach to help tough tech start-ups, Roger Mainwaring-Burton reveal the secrets of taking a product, service or company from benchtop to scale to success in the market.