AI-Powered Technology Identifies Abnormalities in CT Scans

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."

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