The Zegami solution for Healthcare
Over recent years there has been exponential growth in the need for experienced Radiologists, Pathologists and Clinicians. AI can help reduce the burden while keeping the human in the loop.
AI can help clinicians, researchers and data scientists for both pre-clinical and clinical image analysis and quality control.
- Quality control of images
- Image annotation
- Removal of imaging artefacts
- Highlight and identify clinical features
Do you have an existing project or idea that needs AI?
Healthcare Case Studies
Accelerating treatment for Chronic Fatigue Syndrome
A collaboration with a medical researchers at Oxford University to try and find the cause of Myalgic Encephalomyelitis (ME), otherwise known as Chronic Fatigue Syndrome.
Image Analysis on the frontline of clinical research
Expenditure on big data analytics in healthcare is estimated to see an annual growth rate of over 19% between now and 2027. By then, the sector could be worth over $95 billion.
Can AI be used to speed up COVID-19 diagnosis?
Zegami has built a tool that could help speed up diagnosis of COVID-19, using a combination of deep learning and ground-breaking data visualisation.