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We do not aim to replace radiologists. Instead, a radiologist will be empowered to prioritise the urgent cases and thereby offer a more patient centric model of health service delivery.
Established in 2019, Envisionit Deep AI™ is an innovative medical technology company using Artificial Intelligence to transform medical imaging diagnosis.
We are guided by OUR VISION to positively impact healthcare by using revolutionary technology like artificial intelligence to democratise access to diagnostic healthcare.
Medical imaging is at the forefront of disruption in medicine and by utilising our platform, you become a part of the movement to democratise access to healthcare for all.
Chest radiography is the most readily available, cost effective and appropriate imaging modality for the assessment and initial diagnosis of common respiratory diseases, including COVID pneumonia.
The RADIFY Platform for COVID and Tuberculosis detects, labels and triages the most urgent cases providing a summarised report to the doctors within seconds.
RADIFY™ is capable of labelling 20 different pathologies on chest radiography in under 20milliseconds.
RADIFY™ for mammography assists radiologists in the diagnosis and screening of breast lesions.
Mammography has been the frontline screening tool for breast cancer for decades.
The early detection of breast cancer is life-saving especially in under resourced countries.
We’ve developed RADIFY™ for mammograms as a clinical decision support tool for radiologists when screening for breast cancer.
RADIFY AI solution integrated with the mobile ultrasound tool will achieve radiology-level performance for point-of-care diagnosis on ultrasound images.
Ultrasound is a relatively inexpensive and portable modality of diagnosis for life-threatening diseases and for use as point-of-care. The procedure is a non-invasive tool and it quickly gives doctors information necessary to make a diagnosis.
We do not aim to replace radiologists. Instead, a radiologist will be empowered to prioritise the urgent cases and thereby offer a more patient centric model of health service delivery.
Established in 2019, Envisionit Deep AI™ is an innovative medical technology company using Artificial Intelligence to transform medical imaging diagnosis.
We are guided by OUR VISION to positively impact healthcare by using revolutionary technology like artificial intelligence to democratise access to diagnostic healthcare.
Medical imaging is at the forefront of disruption in medicine and by utilising our platform, you become a part of the movement to democratise access to healthcare for all.
Chest radiography is the most readily available, cost effective and appropriate imaging modality for the assessment and initial diagnosis of common respiratory diseases, including COVID pneumonia.
The RADIFY Platform for COVID and Tuberculosis detects, labels and triages the most urgent cases providing a summarised report to the doctors within seconds.
RADIFY™ is capable of labelling 20 different pathologies on chest radiography in under 20milliseconds.
The RADIFY Platform for COVID and Tuberculosis detects, labels and triages the most urgent cases providing a summarised report to the doctors within seconds.
RADIFY™ is capable of labelling 20 different pathologies on chest radiography in under 20milliseconds.
We’ve developed RADIFY™ for mammograms as a clinical decision support tool for radiologists when screening for breast cancer.
RADIFY™ for mammography assists radiologists in the diagnosis and screening of breast lesions.
Mammography has been the frontline screening tool for breast cancer for decades.
The early detection of breast cancer is life-saving especially in under resourced countries.
RADIFY AI solution integrated with the mobile ultrasound tool will achieve radiology-level performance for point-of-care diagnosis on ultrasound images.
Ultrasound is a relatively inexpensive and portable modality of diagnosis for life-threatening diseases and for use as point-of-care. The procedure is a non-invasive tool and it quickly gives doctors information necessary to make a diagnosis.
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