View all newsletters
Receive our newsletter - data, insights and analysis delivered to you
  1. News
October 6, 2020

Mass General Brigham Hospital creates AI model to predict oxygen needs

Researchers at Massachusetts General Brigham Hospital, in partnership with US-based chipmaker NVIDIA, have created an artificial intelligence (AI) model to predict oxygen needs of Covid-19 patients admitted to the emergency room.

Researchers at Massachusetts General Brigham Hospital, in partnership with US-based chipmaker NVIDIA, have created an artificial intelligence (AI) model to predict oxygen needs of Covid-19 patients admitted to the emergency room.

Free Whitepaper
img

How is AI impacting the future of Healthcare?

The applications of AI in healthcare are many, with the potential to transform key aspects of the industry and drive innovation. Uses include data management, remote surgery, diagnostic and procedural AI assistants, drug discovery, and clinical trial design. GlobalData forecasts that the market for AI platforms for the entire healthcare industry will reach $4.3bn by 2024, up from $1.5bn in 2019.

GlobalData’s AI in Healthcare Thematic Research report provides you with an in-depth lens into the impact of artificial intelligence on the industry. We highlight both the challenges and opportunities associated with the innovative technology now, and in the future. Our report also covers:

  • Major players and companies
  • Market size and growth forecasts
  • Case studies
  • Sector scorecard

According to our recent survey, almost two-thirds of pharma professionals expect AI to be the leading disruptive technology in the pharma sector over the next two years. With threats to the industry exacerbated by the COVID-19 pandemic, you should be proactive in adapting strategies and processes to help you remain competitive. Download the full report to get ahead of the competition.

by GlobalData
Enter your details here to receive your free Whitepaper.

The model is designed to determine if a patient requires supplemental oxygen hours or days following an initial exam.

Developed by Dr Quanzheng Li at Mass General Brigham, the original model called CORISK leverages medical imaging and health records to aid clinicians in managing hospitalisations.

To create a generalised model for multiple hospitals, NVIDIA and Mass General Brigham launched the EXAM federated learning initiative with 20 hospitals globally.

Researchers at individual hospitals used NVIDIA Clara Federated Learning Framework, along with a chest X-ray, patient vitals and lab values to train a local model.

The researchers then shared a subset of model weights with the global model as part of a privacy-preserving approach named federated learning. Data was obtained from patients across North and South America, Canada, Europe and Asia.

NVIDIA noted that the AI model is intended to predict the possibility that an individual showing up in the hospital emergency room will require supplemental oxygen.

This could help physicians decide the appropriate care level for patients, including admission to ICU.

Meanwhile, large-scale federated learning projects are ongoing to improve drug discovery and facilitate AI benefits at the point of care.

Owkin has partnered with NVIDIA, King’s College London and other organisations on a drug-discovery consortium called MELLODDY in the UK, to demonstrate the use of federated learning techniques in pharmaceutical industry.

Related Companies

Free Whitepaper
img

How is AI impacting the future of Healthcare?

The applications of AI in healthcare are many, with the potential to transform key aspects of the industry and drive innovation. Uses include data management, remote surgery, diagnostic and procedural AI assistants, drug discovery, and clinical trial design. GlobalData forecasts that the market for AI platforms for the entire healthcare industry will reach $4.3bn by 2024, up from $1.5bn in 2019.

GlobalData’s AI in Healthcare Thematic Research report provides you with an in-depth lens into the impact of artificial intelligence on the industry. We highlight both the challenges and opportunities associated with the innovative technology now, and in the future. Our report also covers:

  • Major players and companies
  • Market size and growth forecasts
  • Case studies
  • Sector scorecard

According to our recent survey, almost two-thirds of pharma professionals expect AI to be the leading disruptive technology in the pharma sector over the next two years. With threats to the industry exacerbated by the COVID-19 pandemic, you should be proactive in adapting strategies and processes to help you remain competitive. Download the full report to get ahead of the competition.

by GlobalData
Enter your details here to receive your free Whitepaper.

NEWSLETTER Sign up Tick the boxes of the newsletters you would like to receive. Get important industry news and analysis sent to your inbox
I consent to GlobalData UK Limited collecting my details provided via this form in accordance with the Privacy Policy
SUBSCRIBED

THANK YOU

Thank you for subscribing to Hospital Management