About Careers Internship MedBlog Contact us
Medindia LOGIN REGISTER
Advertisement

AI Cuts Process Time in the Abnormal Chest X-ray Diagnosis

by Mohamed Fathima S on January 22, 2019 at 9:30 PM
AI Cuts Process Time in the Abnormal Chest X-ray Diagnosis

A newly developed Artificial Intelligence (AI) system can drastically reduce the time needed to perform abnormal chest X-rays and help patients receive opinions from radiologists sooner. The AI system reduces a delay of 11 days to less than three days. Routine X-rays of chest area are performed to diagnose and monitor any conditions affecting the lungs, heart, bones and soft tissues.

Researchers from WMG at the University of Warwick, working with Guy's and St Thomas' NHS Hospitals, extracted a dataset of half million anonymised adult chest radiographs (X-rays) and developed an AI system for computer vision that can recognize radiological abnormalities in the X-rays in real-time and suggest how quickly these exams should be reported by a radiologist. In the process of building the AI system, the team developed and validated a Natural Language Processing (NLP) algorithm that can read a radiological report, understand the findings mentioned by the reporting radiologist, and automatically infer the priority level of the exam. By applying this algorithm to the historical exams, the team generated a large volume of training exams that allowed the AI system to understand which visual patterns in X-rays were predictive of their urgency level.

Advertisement


The research team, led by Professor Giovanni Montana, Chair in Data Science in WMG at the University of Warwick, found that normal chest radiographs were detected with a positive predicted value of 73% and a negative predicted value of 99%, and at a speed that meant that abnormal radiographs with critical findings could be prioritized to receive an expert radiologist opinion much sooner than the usual practice.

The results of the research are published today, 22nd January 2019 in the leading journal Radiology in a paper entitled "Automated triaging and prioritization of adult chest radiographs using deep artificial neural networks."
Advertisement

WMG's Professor Giovanni Montana said:

"Artificial intelligence led reporting of imaging could be a valuable tool to improve department workflow and workforce efficiency. The increasing clinical demands on radiology departments worldwide has challenged current service delivery models, particularly in publicly-funded healthcare systems. It is no longer feasible for many Radiology departments with their current staffing level to report all acquired plain radiographs in a timely manner, leading to large backlogs of unreported studies. In the United Kingdom, it is estimated that at any time there are over 300,000 radiographs waiting over 30 days for reporting. The results of this research shows that alternative models of care, such as computer vision algorithms, could be used to greatly reduce delays in the process of identifying and acting on abnormal X-rays - particularly for chest radiographs which account for 40% of all diagnostic imaging performed worldwide. The application of these technologies also extends to many other imaging modalities including MRI and CT."



Source: Eurekalert
Font : A-A+

Advertisement

Advertisement
Advertisement

Recommended Readings

Latest Medical Gadgets

Apple Watch Helps Track Your Heart & Save Lives
The Apple Watch monitors heart rate, VO2 Max (oxygen intake during exercise), and ECG, warning users globally of cardiac abnormalities.
Apple Watch Series 9 -  Next-Gen Tool For Digital Health
Apart from monitoring basic health, the new apple watch series 9 features a new double tap gesture to control apps without touching the watch.
Revolutionary Artificial Nose Offers Precision Food Spoilage Detection
Our artificial olfactory system combines sensing and processing efficiently, mirroring the biological olfactory system's function for energy and space savings.
IIT Delhi Unveils Exoskeleton Device for Paralyzed Stroke Patients
A portable, lightweight, and affordable exoskeleton designed for stroke patients promises expanded accessibility, particularly in areas with limited resources.
Tap on Your Wrist Makes Navigation Easy: Thanks to a Light Wearable Device
A textile-based wearable device that 'taps' a user's wrist with pressurized air, silently guides the person finding their way to their destination.
View All
This site uses cookies to deliver our services.By using our site, you acknowledge that you have read and understand our Cookie Policy, Privacy Policy, and our Terms of Use  Ok, Got it. Close
MediBotMediBot
Greetings! How can I assist you?MediBot
×

AI Cuts Process Time in the Abnormal Chest X-ray Diagnosis Personalised Printable Document (PDF)

Please complete this form and we'll send you a personalised information that is requested

You may use this for your own reference or forward it to your friends.

Please use the information prudently. If you are not a medical doctor please remember to consult your healthcare provider as this information is not a substitute for professional advice.

Name *

Email Address *

Country *

Areas of Interests