Facebook to use AI in predicting if Covid-19 patients need more care

Note* - All images used are for editorial and illustrative purposes only and may not originate from the original news provider or associated company.

Subscribe

- Never miss a story with notifications

- Gain full access to our premium content

- Browse free from any location or device.

Media Packs

Expand Your Reach With Our Customized Solutions Empowering Your Campaigns To Maximize Your Reach & Drive Real Results!

– Access the Media PackNow

– Book a Conference Call

– Leave Message for Us to Get Back

Related stories

Endo Announces Peyronie’s Disease Presentation at...

Endo, a wholly-owned subsidiary of Mallinckrodt plc, announced today...

Leadership at NHS Hospitals in Leeds...

A watchdog has gone on to say that the...

Developing Dr. CaBot, A Medical Education...

Harvard Medical School researchers are developing Dr. CaBot as...

UK & U.S. Regulators Partner for...

The medicines regulator of the UK has announced plans...

Facebook is publishing a research conducted by its artificial intelligence unit in an effort to help healthcare providers predict in advance if a Covid-19 patient may need more intensive care solution.

American social media giant Facebook is publishing a research conducted by its artificial intelligence (AI) unit in an effort to help healthcare providers predict in advance if a COVID-19 patient may need more intensive care solutions and adjust resources accordingly.

According to Mashable, Facebook in a recent detailed blog post said that it had developed two AI models, one based on a single chest X-ray, and another from a series of X-rays that could help forecast if a patient infected by COVID-19 is likely to get worse. A third model predicts the amount of extra oxygen a COVID-19 patient might need.

The research, which can help produce predictions based on chest X-rays, has been done in collaboration with NYU Langone Health’s Predictive Analytics Unit and Department of Radiology.

As per Mashable, Facebook’s AI models in general did a better job than a human when it came to forecasting a patient’s need for more intensive care resources up to four days in advance.

Latest stories

Related stories

Developing Dr. CaBot, A Medical Education Tool That Reasons

Harvard Medical School researchers are developing Dr. CaBot as...

UK & U.S. Regulators Partner for Medtech Regulatory Reforms

The medicines regulator of the UK has announced plans...

Subscribe

- Never miss a story with notifications

- Gain full access to our premium content

- Browse free from any location or device.

Media Packs

Expand Your Reach With Our Customized Solutions Empowering Your Campaigns To Maximize Your Reach & Drive Real Results!

– Access the Media Pack Now

– Book a Conference Call

– Leave Message for Us to Get Back

Translate »