Radiology AI

GLEAMER’s ChestView AI Revolutionizes Thoracic Imaging

European tech innovator GLEAMER, renowned for its AI-enhanced medical imaging solutions, continues to break new ground with its latest publication in the esteemed journal Radiology. This marks GLEAMER’s third significant contribution to the journal, following a previous publication that earned the prestigious Margulis Award for Scientific Excellence at the last RSNA. The spotlight is now on ChestView, an advanced AI algorithm designed to detect anomalies in chest X-rays with precision comparable to human experts. This innovation underscores GLEAMER’s expanding expertise in new imaging domains while maintaining its commitment to top-tier diagnostic accuracy.

ChestView: A Breakthrough in Thoracic Imaging

Developed in collaboration with AP-HP and supported by a comprehensive, cross-referenced CT-scan database, ChestView is already making waves in over 200 medical institutions worldwide. Building on the success of its predecessor, BoneView, ChestView not only enhances diagnostic accuracy but also streamlines radiologists’ workflow. Its capabilities extend from urgent care scenarios—identifying conditions like pneumothorax, pleural effusions, and consolidations—to early cancer detection with lung nodules and mediastinal masses. ChestView’s global relevance is evident across both private and public healthcare sectors.

The Transformative Study

The study “Using AI to Improve Radiologist Performance in Detecting Abnormalities on Chest Radiographs” by Bennani et al. sets a new benchmark for AI in medical diagnostics. Conducted in collaboration with Cochin Hospital (AP-HP Paris, France), the study demonstrates that ChestView significantly enhances radiologists’ detection rates, sensitivity, and efficiency, with reading times reduced by an average of 31%. Notably, sensitivity for detecting critical conditions such as pneumothorax increased by up to 39%, and for lung nodules by 18%, highlighting AI’s pivotal role in the future of radiology.

Christian Allouche, CEO of GLEAMER, expressed pride in their ongoing efforts: “This study proves our ability to elevate standards of care in various clinical areas, with a commitment to evidence-based results that increase trust and accelerate adoption.”

Prof. Marie-Pierre Revel, Head of Radiology at Cochin Hospital, praised the study’s findings, emphasizing the challenges of chest X-ray interpretation and the essential support provided by AI: “The performance of the algorithm paves the way for enhancing diagnostic accuracy across the board, elevating the standard of care for a broader patient population.”

GLEAMER’s Continuous Innovation

GLEAMER’s suite of AI solutions is transforming radiology standards, from BoneView’s fracture detection to automated measurements with BoneMetrics and BoneAge. These pioneering solutions have secured CE certification in Europe, with BoneView also FDA-cleared in the U.S. for both adults and children. With a recent capital boost of $29.5 million, GLEAMER is poised to make medical diagnostics more precise, efficient, and accessible, heralding a new era for healthcare providers and patients alike.

For more details on the study, click here.