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
GLOBETECH PUBLISHING LLC

Download Mobile App




AI-Powered Technology Identifies Abnormalities in CT Scans

By MedImaging International staff writers
Posted on 30 Apr 2018
Image: The new AI-powered technology can accurately identify bleeds, fractures and other critical abnormalities in head CT scans and generate reports (Photo courtesy of Qure.ai).
Image: The new AI-powered technology can accurately identify bleeds, fractures and other critical abnormalities in head CT scans and generate reports (Photo courtesy of Qure.ai).
A new artificial intelligence (AI)-powered technology can accurately identify bleeds, fractures and other critical abnormalities in head CT scans, and can automatically generate abnormality reports. These automated reports are a first-to-market capability in the AI and radiology category, helping radiologists and hospitals prioritize care, make smarter and faster diagnoses and reduce costs.

The new head CT scan technology has been launched by Qure.ai (Mumbai, India), a healthcare AI startup, which focuses on making healthcare affordable and accessible using the power of AI. Its deep neural networks can understand and interpret medical images accurately and enable machines to perform routine diagnostics, thus improving healthcare outcomes and costs. Until now, Qure.ai has delivered AI-powered chest, abdomen and musculoskeletal image interpretation technology. The company has now launched capabilities for head and brain CT scans for the first-time.

Qure.ai trained the new AI using a collection of 313,318 anonymized head CT scans, along with their corresponding clinical reports. Out of these, 21,095 scans were used to validate the AI's algorithms. Finally, the AI was clinically validated on 491 CT scans, with the results compared against a panel of three senior radiologists. The validation study found that Qure.ai's AI to be more than 95% accurate in identifying abnormalities.

The company has also made a dataset of 491 AI-interpreted head CT scans, as well as the corresponding interpretations from the three radiologists, publicly available for download. This dataset is from the Centre for Advanced Research in Imaging, Neurosciences and Genomics, and includes both outpatient and in-patient scans from seven centers.

"Qure.ai's new head CT scan technology rapidly screens scans in under 10 seconds to detect, localize and quantify abnormalities, as well as assess their severity," said Prashant Warier, Co-Founder and CEO, Qure.ai. "This enables patient prioritization and the appropriate clinical intervention."

"We are delivering near-radiologist accurate AI to support radiologists, physicians and healthcare providers," said Sasank Chilamkurthy, AI Scientist, Qure.ai. "Our deep learning algorithms can accurately detect and highlight head CT scan abnormalities, reducing the chances of missing a diagnosis. Our technology can also localize the brain regions affected and quantify the bleed regions in a fully-automated report."

Related Links:
Qure.ai

Ultrasound Imaging System
P12 Elite
Silver Member
X-Ray QA Meter
T3 AD Pro
Medical Radiographic X-Ray Machine
TR30N HF
Digital Radiographic System
OMNERA 300M

Channels

Ultrasound

view channel
Image: The new implantable device for chronic pain management is small and flexible (Photo courtesy of The Zhou Lab at USC)

Wireless Chronic Pain Management Device to Reduce Need for Painkillers and Surgery

Chronic pain affects millions of people globally, often leading to long-term disability and dependence on opioid medications, which carry significant risks of side effects and addiction.... Read more

Nuclear Medicine

view channel
Image: The diagnostic tool could improve diagnosis and treatment decisions for patients with chronic lung infections (Photo courtesy of SNMMI)

Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections

Mycobacteroides abscessus is a rapidly growing mycobacteria that primarily affects immunocompromised patients and those with underlying lung diseases, such as cystic fibrosis or chronic obstructive pulmonary... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.