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Chest experts Oxipit and contextflow team up for diagnostic quality assurance
The new partnership aims to mitigate the risk associated with missed findings in CT medical imaging studies.
ChestEye Quality analyzes medical images and corresponding radiologist reports. Acting as a virtual safety net, the software sends a notification to the radiologist if it detects a mismatch or a missed finding not identified in the radiologist report. Out of nearly 200,000 analyzed chest X-ray images, an average of 1 in 552 (0.18%) chest X-ray studies feature clinically-significant missed findings. The result varies from 0.08% to 0.92% depending on the type of medical institution.
The contextflow partnership will expand ChestEye Quality capabilities into the CT modality.
contextflow SEARCH Lung CT is a clinical decision support system that automatically detects, quantifies and visualizes key disease patterns and lung nodules in CTs of the lungs over time, displaying relevant information directly in the radiologist's PACS viewer.
In a clinical impact study at the Medical University of Vienna (MUW), an earlier version of SEARCH Lung CT showed an average reading time savings of 31% when contextflow SEARCH Lung CT is available for use with a trend towards improved diagnostic accuracy.
"We are excited to partner with experts in CT AI medical imaging. The ChestEye Quality AI double reading approach has already proven itself in the CXR modality, helping radiologists to spot more clinically-relevant nodules and improving early diagnostics of lung cancer. Collaboration with contextflow highlights the robustness of the ChestEye Quality framework, showcasing how the AI double reader approach can be easily expanded into other medical imaging modalities,"
contextflow Chief Commercial Officer Marcel Wassink continues: "With this cooperation we aim to provide radiologists a safety net that catches potential mismatches between the contents in the radiology report and the visual findings related to all patterns in the CT scan detected by contextflow. The goal is to further support radiologists with a friendly warning system that helps them double check their analysis of the CT scan."
The first ChestEye CT Quality deployment is planned at the Leiden University Medical Center (LUMC).
About Oxipit | https://www.oxipit.ai
Oxipit develops AI applications for diagnostic medical imaging. With a team of award-winning data scientists and medical doctors, the company aims to introduce innovative artificial intelligence breakthroughs to everyday clinical practice.