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Blog Post

Vision for NHS

A vision for how the NHS could embrace accountable AI lifecycle management

One of the most crucial developments in AI – and one which has enjoyed exponential growth recently – is its application for the advancement of medical research and predictive analytics. When applied to the analysis of large and complex data sets – for example databases comprising hundreds of thousands of medical images from multiple sources and locations – AI is a very useful assistive tool, supporting with triage and diagnoses that would otherwise require considerable time and expertise from highly experienced clinicians.

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Demo Collection

DICOM Mammograms

This mammogram dataset consists of 3486 DICOM (Digital Imaging and Communications in Medicine) images. It contains normal, benign, and malignant cases with verified pathology information.

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Whitepapers

Case Study: Solving global food shortages using Automated Image Analysis

Research at the Australian Plant Phenomics Facility is leading to the development of new and improved crops, healthier food and

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