Amazon Medical: Tech Giants Move into Healthcare
Welcome to Future Health, your weekly briefing on the impact of AI in Health, Sport and Life Sciences.
Over 3 million people die each year from chronic respiratory diseases, an estimated 6% of all deaths worldwide. Many of these cases can be linked to factors beyond the person’s control, with air pollution an enormous contributor. Catch up on the latest news of how advances in AI are helping combat this fundamental and widespread issue.
- Develop HealthTech apps on GE’s Edison platform
- Neural Networks for ultrasound imagery
- A primer on deep learning for genomics
CognitionX Research
The business of natural language computing: is a chatbot right for your business? Where should you start? What tools should you use?
The Impact of AI on HR: understand how to evaluate and implement AI solutions for your business.
Ethics in AI: explore the risks and opportunities facing business, society, legislators and regulators. Pre-register your interest
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Healthcare
How AI advances are revolutionising respiratory care
Asthma and chronic obstructive pulmonary disease (COPD) cause a combined 400 million people worldwide to suffer, resulting in approximately 14 million lost work days per year. Read up on the key ways AI is helping combat such respiratory diseases.
GE Healthcare announces new applications built on AI Platform ‘Edison’
GE points out that 90 percent of healthcare data comes from imaging — but just 3 percent of that data gets analyzed or put to work. With the Edison platform, the company aims to help improve those statistics by boosting clinicians’ trust in AI technologies and simplifying a developer’s ability to create compliant applications.
Product News
Amazon’s newest service uses machine learning to extract medical data from patient records
Amazon has launched a new service that uses machine learning to extract key data from patient records and can potentially help healthcare providers and researchers save money, make treatment decisions, and manage clinical trials. Naturally questions of data privacy arise — Amazon says patient data is encrypted and can only be unlocked by customers who have a key.
Detection and Diagnostics
Oxford imaging firm lends AI smarts to £50m government initiative
Working alongside Guys & St Thomas hospital, Oxford based Mirada Medical will partner with a medical imaging and artificial intelligence (AI) centre led by King’s College London to demonstrate how deep learning and ‘advanced’ medical imaging technologies can improve patient care.
Machine learning identifies foetal size from ultrasound images
Researchers from Seoul based Yonsei University have developed a three stage (and very advanced) convolutional neural network (CNN) trained on 182 ultrasound images. They obtained accurate segmentation in 87% of cases.
Research
A primer on deep learning in genomics
A paper, co-authored by Peltarion, the Stanford School of Medicine and the Chan-Zuckerberg Biohub, finds that AI could be used to predict changes in DNA sequences critical in medical diagnosis and vaccine developments.
“This is potentially game-changing.” — Mikael Huss, data scientist at AI-firm Peltarion, Professor at the ‘Karolinska Institutet’ in Sweden.
Sports Analytics
New York City FC to roll out AI Powered SmartCoach ‘PLAYR’ to its Academy Teams
The Big Apple based club is set to incorporate PLAYRtechnology into the regular training of two of their academy teams. The technology is used by over 1800 clubs worldwide, its adoption indicative of the importance of personalised analytics in high performance sport.
Something to Get Involved In
Testing new medical technologies in the NHS: apply for funding
Innovate UK and the Office for Life Sciences are working in partnership to invest up to £1.5 million in business projects that support the development of new medical devices, diagnostics and regulated digital technology. UK based SMEs can apply for funding now — projects should address NHS priorities (see article).
