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Putting the AI in Radiology  

AI, machine learning, and deep learning are radically altering the healthcare field, especially in areas like radiology, cardiology, hematology, ophthalmology, and neurology. 

 

Radiology, in particular, is seeing impressive results with AI, which isn’t surprising as machine learning’s ability to discover hard-to-find patterns in massive amounts of data, even image data, is a natural fit for the discipline that uses medical imaging to diagnose and treat diseases within the body.

 

Today, half of all published research studies in the top radiology journals are AI-related. AI, including machine learning and deep learning, is being prominently endorsed at radiology conferences worldwide, including at this year’s prestigious European Congress of Radiology. 

 

No longer just seen as a futuristic technology, AI is becoming an integral part of daily life in radiology departments worldwide. Understandably so as AI can optimize radiologists’ workflows, facilitate quantitative radiology, and assist in discovering genomic markers.

How is AI helping Radiologists?

The technology helps radiologists increase efficiency as well as lower a patient’s overall healthcare costs because diagnoses can be delivered faster and more accurately than before.

 

One company that is developing groundbreaking AI technology in the radiological field is RADLogics, the healthcare software company that develops AI-Powered solutions to support image analysis that improves radiologists’ accuracy and productivity, while also improving patient outcomes.

Approved AI Applications for Radiology

On July 8, 2021, the company announced FDA 510(k) clearance for its novel AI-Powered chest X-ray pneumothorax application. The solution gives healthcare providers, hospital networks, and clinicians access to AI software that is trained via pattern recognition to flag chest X-rays suspected of pneumothorax or collapsed lungs. 

 

Operating in parallel with existing radiological workflows, the chest X-ray solution analyzes images for features suggestive of pneumothorax, then makes case-level output available to a PACS workstation for worklist prioritization or triage. 

 

The AI-Powered solution integrates into a comprehensive, seamless, and secure workflow to augment acute care teams with deep clinical insight and actionable intelligence in minutes.

In accordance with FDA guidance for imaging systems and software to tackle the COVID-19 public health crisis, RADLogics has made its FDA cleared X-ray and CT solutions available to hospitals and healthcare systems throughout the U.S.  The application is available at the Nuance AI Marketplace for Diagnostic Imaging

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