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 hp
Sign In
Advertise with Us
ARAB HEALTH - INFORMA

Download Mobile App




AI Camera Technology Helps Doctors Quickly Assess Severity of Infections

By HospiMedica International staff writers
Posted on 11 Jun 2024
Print article
Image: The AI camera could help doctors identify serious infections (Photo courtesy of Lisa Thanner/University of Gothenburg)
Image: The AI camera could help doctors identify serious infections (Photo courtesy of Lisa Thanner/University of Gothenburg)

A significant number of patients who visit healthcare centers are seeking help for symptoms like sore throats, coughs, and fever. While many of these infections are harmless and self-resolving, they can sometimes be the initial signs of more severe and potentially life-threatening illnesses such as pneumonia, COVID-19, and Lemierre’s syndrome. It is crucial to quickly evaluate the severity of these symptoms to provide necessary treatment without the inappropriate use of antibiotics. The overuse of antibiotics leads to the development of resistant bacteria strains, diminishing the effectiveness of these drugs. Currently, the severity of an infection is determined by checking vital signs, which are key indicators of a person's physical health, using a variety of instruments. Now, a new technology that can measure a patient’s pulse, breathing, and blood pressure simply by scanning their face could provide a tool for quickly assessing the severity of acute infection and other medical conditions.

The newly developed method by researchers at the University of Gothenburg (Gothenburg, Sweden) combines camera technology, software, and artificial intelligence (AI) to potentially replicate the results obtained from traditional instruments by simply scanning a patient's face for 30 seconds. In a recent study involving over 200 patients suspected of having COVID-19, this camera-based method was clinically tested and shown to enhance both the assessment of severity and the accuracy of diagnoses. The technology was able to provide data on the patient’s heart rate, oxygen saturation, respiratory rate, and blood pressure. Although the findings are promising, they require further validation, particularly concerning the precision of the measurements.

“The new AI method means that measurements are faster, more convenient for the patient, easier for the healthcare provider, and involve less risk of infections being spread via measuring equipment,” said Stefan Malmberg from the University of Gothenburg. “This type of research is crucial for the development of new healthcare technologies.”

Related Links:
University of Gothenburg

Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
Gold Member
12-Channel ECG
CM1200B
New
Phototherapy Eye Protector
EyeMax2
New
Hospital Data Analytics Software
OR Companion

Print article

Channels

Surgical Techniques

view channel
Image: (Left) An image of a 3D-printed material implanted in vivo for 4 weeks. (Right) A photo of coral (Photo courtesy of Dr Zhidao Xia and Jesus Cobaleda)

Revolutionary Coral-Inspired Material for Bone Repair Promotes Faster Healing

Bone defects caused by fractures, tumors, and non-healing injuries are major contributors to disability worldwide. Traditionally, doctors have used either a patient’s own bone (autograft) or donor bone... Read more

Patient Care

view channel
Image: The portable biosensor platform uses printed electrochemical sensors for the rapid, selective detection of Staphylococcus aureus (Photo courtesy of AIMPLAS)

Portable Biosensor Platform to Reduce Hospital-Acquired Infections

Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The acoustic pipette uses sound waves to test for biomarkers in blood (Photo courtesy of Patrick Campbell/CU Boulder)

Handheld, Sound-Based Diagnostic System Delivers Bedside Blood Test Results in An Hour

Patients who go to a doctor for a blood test often have to contend with a needle and syringe, followed by a long wait—sometimes hours or even days—for lab results. Scientists have been working hard to... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.