We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
PURITAN MEDICAL

Download Mobile App





AI Model for Monitoring COVID-19 Predicts Mortality Within First 30 Days of Admission

By HospiMedica International staff writers
Posted on 08 Apr 2022
Print article
Image: A new study has set an international benchmark in applying AI for monitoring and managing COVID-19 (Photo courtesy of Unsplash)
Image: A new study has set an international benchmark in applying AI for monitoring and managing COVID-19 (Photo courtesy of Unsplash)

A study by a team of researchers has become an international benchmark for the reliable use of artificial intelligence (AI) in monitoring and managing COVID-19.

In an article published in the Journal of the American Medical Informatics Association, the research team at the Universitat Politècnica de València (UPV, Valencia, Spain) has demonstrated the limitations that the variability or heterogeneity of data may have in reliably applying AI when it comes from multiple sources, e.g. a range of hospitals or countries. The article sets out the key aspects of potential solutions to such limitations. Furthermore, the team has developed new tools based on this study to help describe and classify patients with COVID-19.

The researchers have also developed an AI model for the early prediction of mortality (within the first 30 days of admission to the emergency department), focusing principally on adults aged over 50. They have also developed a deep learning application that helps to predict severity in all age groups, with the advantage of being able to operate even with incomplete patient information, offering robust and reliable AI in the event of data quality issues.

“These predictive models can help to select the best treatment for each patient according to their mortality risk, and to plan and manage resources in cases of low availability of resources, and in a way that can withstand potential uncertainties in the available information,” said Carlos Sáez, a member of the BDSLab-ITACA group research team at Universitat Politècnica de València, who coordinated the study.

In addition, following a study of nearly 800,000 COVID-19 cases, the researchers have developed a new technique to investigate subphenotypes (dividing patient populations into meaningful groups) in line with clinical characteristics. This technique, based on meta-clustering exploratory AI, can be used to automatically obtain a large number of results at different socio-demographic levels (by age group, gender, and combinations thereof), which would otherwise have to be carried out manually, involving additional work. This technique not only encourages non-discrimination, but also presents the results to the user in a detailed and intuitive manner, ready for exploration. Applying this technique to the cases led the team to conclude that chronological age alone cannot be used as a risk factor for severity, but rather must always be accompanied by comorbidities and even habits (physiological age).

“We also observed that, under equivalent clinical conditions, women have a higher recovery rate than men and, among older people, it is those aged over 100 who recover best. And we found that there is significant variability in recovery rates between different states in Mexico and also depending on the clinical institution,” concluded Carlos Sáez.

Related Links:
Universitat Politècnica de València 


Print article
IIR Middle East

Channels

Critical Care

view channel
Image: Three dimensional measurement of the all-mesh thermistor (Photo courtesy of Shinshu University)

Ultraflexible, Gas-Permeable Thermistors to Pave Way for On-Skin Medical Sensors and Implantable Devices

On-skin medical sensors and wearable health devices are important health care tools that must be incredibly flexible and ultrathin so they can move with the human body. In addition, the technology has... Read more

Surgical Techniques

view channel
Image: Engineers have developed a process that enables soft robots to grow like plants (Photo courtesy of University of Minnesota)

Soft Robotic System Can Grow Like Plants to Allow Surgical Access to Hard-To-Reach Areas

Soft robotics is an emerging field where robots are made of soft, pliable materials as opposed to rigid ones. Soft growing robots can create new material and “grow” as they move. These machines could be... Read more

Patient Care

view channel
Image: The biomolecular film can be picked up with tweezers and placed onto a wound (Photo courtesy of TUM)

Biomolecular Wound Healing Film Adheres to Sensitive Tissue and Releases Active Ingredients

Conventional bandages may be very effective for treating smaller skin abrasions, but things get more difficult when it comes to soft-tissue injuries such as on the tongue or on sensitive surfaces like... Read more

Health IT

view channel
Image: Using digital data can improve health outcomes (Photo courtesy of Unsplash)

Electronic Health Records May Be Key to Improving Patient Care, Study Finds

When a patient gets transferred from a hospital to a nearby specialist or rehabilitation facility, it is often difficult for personnel at the new facility to access the patient’s electronic health records... Read more

Business

view channel
Image: Differentiated stapling technology for bariatric surgery (Photo courtesy of Standard Bariatrics)

Teleflex Completes Acquisition of Bariatric Stapling Technology Innovator

Teleflex Incorporated (Wayne, PA, USA), a leading global provider of medical technologies, has completed the previously announced acquisition of Standard Bariatrics, Inc. (Cincinnati, OH, USA), which has... Read more
Copyright © 2000-2022 Globetech Media. All rights reserved.