Skip to main content

Reset your password

Please enter the e-mail address you used to register to reset your password

Note: The verification e-mail to change your password should arrive immediately. However, in some cases it takes longer. Don't forget to check your spam folder.

If you haven't received the e-mail in 24 hours, please contact customerservices@ioppublishing.org

Registration complete

Thank you for registering with Physics World
If you'd like to change your details at any time, please visit My account

Close
Diagnostic imaging

Diagnostic imaging

Advanced algorithm predicts outcome for patients with severe brain injury

17 Jun 2022
Head CT scans
Guiding patient care: Predicting long-term clinical outcomes is challenging in patients with severe TBI because of their comatose status and concerning imaging features such as cerebral oedema and intracranial haemorrhage. But many such patients have potential to make a favourable recovery. (Courtesy: iStock/Sutthaburawonk)
A team of US-based researchers has created an innovative deep-learning model that analyses CT scans

You’ve reached the limit of what you can view on Physics World without registering

If you already have an account on Physics World, then please sign in to continue reading

If you do not yet have an account, please register so you can

  • Access more than 20 years of online content
  • Choose which e-mail newsletters you would like to receive

Abigail Williams is a freelance journalist based in Cardiff, specializing in science, technology and business
Read previous

Atmospheric helium levels are on the rise
Read next

Continuous Bose–Einstein condensate opens the door to continuous-wave atom lasers

Discover more from Physics World

Related jobs

Related events

Copyright © 2024 by IOP Publishing Ltd and individual contributors