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Excerpt from the original story:

 

UF researchers can now assess and treat a patient’s condition faster than ever before with advanced artificial intelligence technology.

Dr. Azra Bihorac, a UF college of medicine and surgery professor, and Parisa Rashidi, a UF biomedical engineering assistant professor, published research last Tuesday in the Nature Scientific Reports journal that describes a system that speeds up and more accurately determines a patient’s condition using artificial intelligence.

The system Rashidi and Bihorac developed quickly processes a large amount of data at once in order to provide a clear interpretation of a patient’s medical condition.

 

  Posts

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February 25th, 2019

News Coverage in CBS

A first of its kind technology developed here in Gainesville can predict the probability and possible cause of death in […]

February 25th, 2019

News Coverage in Fox13

Artificial intelligence used in the ICU to predict mortality, news story: Watch the video here: link

February 22nd, 2019

News Coverage in Alligator Newspaper

Excerpt from the original story:   UF researchers can now assess and treat a patient’s condition faster than ever before […]

February 19th, 2019

News Coverage in UFHealth News

n a hospital’s intensive care unit, doctors get a cascade of data about each patient’s condition that can be challenging […]

February 18th, 2019

NIH Trailbalzer Award

The under-assessment of pain response is one of the primary barriers to the adequate treatment of pain in critically ill […]

August 29th, 2018

Survey on EHR Deep learning available on IEEE JBHI

Our survey paper on deep learning for EHR will appear in the September Issue of IEEE JBHI: Link  

May 10th, 2018

NVIDIA’s news story on Intelligent ICU

NVIDIA reports on our intelligent ICU research, “AI Assists Doctors Monitor ICU Patients”: Researchers at the University of Florida developed […]

April 30th, 2018

Intelligent ICU paper available on arXiv

Currently, many critical care indices are repetitively assessed and recorded by overburdened nurses, e.g. physical function or facial pain expressions […]

April 20th, 2018

CVPR Student Travel Award

Congratulations to Anis for receiving a CVPR workshop travel award!

April 20th, 2018

CTSI-UFII Pilot Project awarded

Our proposal on “Automated Integration of Patient-Generated Data with the Electronic Health Record Data”, PI, Rashidi, has been selected for funding […]