Imaging in Healthcare: Technical Challenges and Trends


Presentation Introducing Stage A20

Healthcare is evolving. Imaging has a key role in this process. Today it is used extensively in screening, diagnostics, planning treatment efficacy analysis and then monitoring for recurrence and metastasis. There are disruptive technologies such as machine learning (AI) and big data which are penetrating clinical pathways. The regulatory constraints and risk-averse nature of the industry have restricted roll out, but this is what we expect in the next 5 to 10 years.

Healthcare has new and expanding challenges. Ageing populations are presenting new levels or disease and previously rare diseases, such as Alzheimers, are becoming more prevalent. Technology must respond to this.

The next generation of imaging technology must be fit for purpose and, driven by the costs of an ageing population, must be cost effective. There are additional techniques such as theranosticsand different types of radiation therapy, now more widely used, which have their own demands. Machine learning and big data analytics require truly quantitative imaging. Human interpolation is no longer an option.

The landscape for image sensors and cameras is changing. How can we, as manufacturers, camera designers, integrators and systems groups keen ahead of the curve. How do we deliver what is expected and necessary?

Unitive Design



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