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
77 ELEKTRONIKA

Download Mobile App




Physician-Aided AI Enhances Detection of Acute Respiratory Distress Syndrome in Chest X-Rays

By HospiMedica International staff writers
Posted on 14 Apr 2023
Print article
Image: Collaboration of AI with physicians can improve ARDS diagnostic accuracy (Photo courtesy of Freepik)
Image: Collaboration of AI with physicians can improve ARDS diagnostic accuracy (Photo courtesy of Freepik)

Acute respiratory distress syndrome (ARDS) is a highly fatal critical illness, with diagnosis often missed or delayed, resulting in patients not receiving evidence-based care. Researchers have now developed a deep learning algorithm to help doctors identify ARDS more quickly and reliably in chest X-rays.

In a new study, the research team University of Michigan (Ann Arbor, MI, USA) assessed the strengths and weaknesses of the AI model compared to expert physicians and investigated how both could work together to improve ARDS diagnosis and patient outcomes. The team used 414 chest X-rays from adult hospital patients with acute hypoxic respiratory failure, and had the AI model and a group of physicians with expertise in chest X-ray interpretation for ARDS detection work side by side. They evaluated overall performance in ARDS detection, accuracy based on X-ray interpretation difficulty, and the level of AI/physician certainty in their interpretations. The AI model demonstrated a higher overall performance in detecting ARDS findings than physicians. However, the researchers discovered that the AI model outperformed the physicians in interpreting less challenging chest X-rays, while physicians were better at reviewing more difficult ones. In rating their confidences in the chest X-ray interpretation, one was found to be less confident while the other performed better.

The team's analysis suggests that AI and physician expertise could complement each other, potentially reducing ARDS misdiagnosis rates. They tested several strategies in which an AI and physician could collaborate to achieve the best performance. One effective method involved having the AI system review the chest X-ray first and then deferring to physicians if it was uncertain. This approach allowed physicians to review a smaller subset of chest X-rays, reducing workload and allowing them to focus on more challenging cases. Such an approach could ultimately transform care delivery to ARDS patients in the intensive care unit (ICU).

“Understanding how to effectively operationalize AI systems in the ICU is really important,” said study senior author Dr. Michael Sjoding, Associate Director of the Weil Institute and Associate Professor of Pulmonary and Critical Care Medicine. “These systems are becoming more common, but there has not been a lot of work done so far to understand how to bring them to the bedside to help clinicians provide the best care. This work opens the door to a future where AI systems and human experts work together to provide excellent ARDS care to all patients.”

“Because medical decisions are often high stakes, we know that patients and clinicians likely won’t accept completely replacing human expertise with AI algorithms,” added Dr. Negar Farzaneh, a Weil Institute Research Investigator and Data Scientist, as well as lead author on the study. “However, strategies where the model complements a physician’s diagnosis, rather than replaces it, might be a more reasonable alternative. Our work suggests that these collaborations, when optimized, can result in higher diagnostic accuracy and enable patients to receive more consistent care.”

Related Links:
University of Michigan 

Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
Silver Member
Wireless Mobile ECG Recorder
NR-1207-3/NR-1207-E
New
Washer Disinfector
TIVA 10-M

Print article

Channels

Critical Care

view channel
Image: The AI model uses data from patients\' electronic health records to predict their chances of surviving CRRT (Photo courtesy of 123RF)

AI Model Accurately Predicts Continuous Renal Replacement Therapy Survival

Continuous renal replacement therapy (CRRT) is a type of dialysis used for severely ill patients who are unable to undergo regular hemodialysis. Although CRRT has been in use for many decades, there is... Read more

Surgical Techniques

view channel
Image: Classification of the guidance image applied for surgical robot (Photo courtesy of Science China Press)

Advances in Image-Guided Methods Enabling Intelligent Surgical Robots for Precise Procedures

Traditional image-guided methods often depend on stationary equipment within the operating room, while modern surgical robots are equipped to acquire and process high-precision images in real time during surgeries.... Read more

Patient Care

view channel
Image: The portable, handheld BeamClean technology inactivates pathogens on commonly touched surfaces in seconds (Photo courtesy of Freestyle Partners)

First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds

Reducing healthcare-acquired infections (HAIs) remains a pressing issue within global healthcare systems. In the United States alone, 1.7 million patients contract HAIs annually, leading to approximately... 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: POCT offers cost-effective, accessible, and immediate diagnostic solutions (Photo courtesy of Flinders University)

POCT for Infectious Diseases Delivers Laboratory Equivalent Pathology Results

On-site pathology tests for infectious diseases in rural and remote locations can achieve the same level of reliability and accuracy as those conducted in hospital laboratories, a recent study suggests.... Read more

Business

view channel
Image: The finalists have been announced for the IHF Awards 2024 (Photo courtesy of IHF)

International Hospital Federation Awards 2024 Finalists Announced

The International Hospital Federation (IHF; Geneva, Switzerland) has announced the finalists of the IHF Awards 2024 after the judges completed scoring entries in all 7 Award categories. The IHF Awards... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.