“We have seen enormous interest from around the world in our flagship chest x-ray product,” said annalise.ai Chief Medical Officer Dr. Rick Abramson. “Users are intrigued by the depth of diagnostic support we provide and the opportunity to use Annalise Enterprise CXR within new clinical workflows.”
SYDNEY (PRWEB) November 16, 2022
annalise.ai has been named 2022’s Best New Radiology Vendor by AuntMinnie.com, considered one of the largest and most comprehensive community Web sites for medical imaging professionals worldwide. The Minnies highlight the top global innovators and pioneers in the field of radiology, and AI was an important theme in this year’s awards.
Annalise.ai products are particularly distinctive for how many clinical findings they detect. Annalise Enterprise CXR, the company’s first comprehensive decision-support AI solution, detects up to 124 suspected chest x-ray findings and can also provide a notification of suspected urgent findings to a radiologist’s worklist, thus assisting in the treatment of patients with the most critical conditions first.
“We have seen enormous interest from around the world in our flagship chest x-ray product,” said annalise.ai Chief Medical Officer Dr. Rick Abramson. “Users are intrigued by the depth of diagnostic support we provide and the opportunity to use Annalise Enterprise CXR within new clinical workflows.”
The Annalise Enterprise CXR AI model was trained on one of the world’s largest datasets of chest X-rays hand-labelled by radiologist (over 820.000 images) from Australia, Europe, and the United States. The Lancet Digital Health validation study for the chest x-ray product was the largest study of its kind ever undertaken in terms of the number of AI findings concurrently evaluated.
This year, annalise.ai chest x-ray products received U.S. FDA (United States Food and Drug Administration) clearance for use in triage and notification of a subset of chest x-ray findings.
Most recently, annalise.ai launched Annalise Enterprise CTB, the world’s most comprehensive decision- support AI solution for non-contrast CT brain studies. Enterprise CTB is now clinically available in Australia, New Zealand, and Great Britain.
“Annalise Enterprise CTB assists the radiologist with 130 imaging findings, which means more support for the radiologist and a bigger impact on patient care,” said Dr. Abramson.
annalise.ai will be showcasing its US and rest-of-world Annalise Enterprise solutions at this year’s RSNA (Radiological Society of North America) 2022 conference. Visit us at Booth #4757 in the South Hall, AI Showcase at McCormick Place in Chicago or reserve your demo time here.
About annalise.ai
With accelerating advances in medical imaging technology, radiologists and other healthcare providers are now expected to diagnose patients quickly and accurately. annalise.ai fuses the highest quality imaging data with the very best in computer science to produce comprehensive AI clinical decision support solutions, empowering clinicians to make accurate, faster decisions. Our patient-first approach is proudly clinician-led and comes from a deep understanding of the challenges faced in medical imaging. Our AI solutions provide clinicians with a second set of eyes, allowing them to detect with confidence and drive better health outcomes for all patients.
annalise.ai is a joint venture between Australian healthcare technology company Harrison.ai and one of the world’s largest radiology companies, I–MED Radiology Network, a partnership that extends the capability of imaging analysis AI to deliver comprehensive modality solutions. The company has offices in Australia, the United Kingdom, the Netherlands, and the U.S.
annalise.ai solutions are intended for health care professionals only. annalise.ai solutions are not intended to provide direct diagnosis. For detailed device information, including indications for use, contraindications, precautions, and warnings, please consult the user guide prior to use. Not all features are available in all regions, check current regulatory status with an annalise.ai employee.