I-MED Radiology implements world-first artificial intelligence solution Annalise CXR
I-MED Radiology Network implemented Annalise CXR, an AI chest x-ray decision-support solution developed by annalise.ai (an I-MED joint venture with Harrison.ai), across its 250 clinics nationwide, used by 350 radiologists daily. Annalise CXR detects 124 clinical findings and was, at launch, proven to improve the accuracy of radiologists in identifying over 100 clinical findings, supporting over 38,000 patient cases per month.
Overview
I-MED Radiology Network implemented Annalise CXR, an AI chest x-ray decision-support solution developed by annalise.ai (an I-MED joint venture with Harrison.ai), across its 250 clinics nationwide, used by 350 radiologists daily. Annalise CXR detects 124 clinical findings and was, at launch, proven to improve the accuracy of radiologists in identifying over 100 clinical findings, supporting over 38,000 patient cases per month.
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Inspect the highlighted sourceThe challenge
I-MED Radiology Network, Australia's leading diagnostic imaging provider, is excited to announce that it has implemented a cutting-edge artificial intelligence (AI) solution to help support its leading team of radiologists in the identification of chest disease and illness, which could improve health outcomes for patients.
The solution
I-MED implemented Annalise CXR, a chest x-ray decision-support AI solution developed by annalise.ai (an I-MED joint venture with Harrison.ai), across its 250 clinics nationwide, used daily by 350 radiologists. Annalise CXR detects 124 clinical findings and compares with just 75 findings found using the next most comprehensive CXR AI product; most CXR AI products are limited to fewer than 15 findings. It has been proven to improve the accuracy of radiologists in identifying over 100 clinical findings.
Reported business value
Annalise CXR supports over 38,000 patient cases each month, giving radiologists the confidence to report large volumes of data safely and consistently with minimal disruption to their normal workflow, and offering I-MED's patients and referrers an extra layer of clinical care and specialist support.
Sources
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