Date: 27 June 2017
Location: Digital Catapult Centre, 101 Euston Road, London NW1 2RA
From applying machine learning and AI to genomics to better understand cancer, to intelligent technologies providing decision support assistance for doctors, the healthcare sector is receiving a huge boost from the proliferation of AI and Machine learning technologies.
The question is; how are these technologies being harnessed in new innovations that use patient and consumer data, and how do we overcome the privacy and technical challenges of accessing sensitive health data?
This will be an exciting conference, exploring the opportunities and challenges of applying machine learning & AI to patient and consumer health data – including electronic medical records, images and scans and person generated health data. You will hear from SME and larger companies, clinicians, data owners and innovators their insights and success stories.
This thought-provoking day will explore the benefits and challenges of accessing private medical records and sensitive health data, including the issue of access by private providers and public attitudes to data sharing. A number of SMEs will discuss cases that show the benefits and outcomes of using health data and explain their innovations and interventions to improve human health and wellbeing. We will discuss ways to solve the data sharing issue, by bringing together clinicians, data owners, private healthcare providers and innovators to discuss innovative ways to apply intelligent technologies to patient data.
For more information about Digital Catapult, click here