Detecting lung nodules on a chest X-ray image is an important first step in assessing a patient. DrAid supports the radiologist in identifying lung nodules on x-ray.
BoneView has analyzed more than three million images around the world and is deployed in more than 13 countries across Europe, the Middle East, Asia-Pacific and North America. More than 3,500 radiologists and emergency physicians now rely on BoneView in their clinical routines.
Detecting lung nodules on a chest X-ray image is an important first step in assessing a patient. DrAid supports the radiologist in identifying lung nodules on x-ray.
CINA-ICH uses deep learning to identify suspected intracranial hemorrhage and prioritizes those cases in the worklist, dramatically reducing turnaround time for head trauma and stroke patients.
Visual cues of early stages of osteoarthritis often elude radiographs which can lead to misdiagnosis, unnecessary examinations and lack of treatment. Artificial intelligence (AI) has proven efficient in recognizing the complex visual patterns of osteoarthritis.
Early detection of breast cancer is key before the cancer metastasizes. A clinical study compared radiologists’ performance reading with and without MammoScreen® 3D.
CINA-ICH uses deep learning to identify suspected intracranial hemorrhage and prioritizes those cases in the worklist, dramatically reducing turnaround time for head trauma and stroke patients.
Timely and accurate diagnosis are necessary for the management of acute ICH patients. Unfortunately, 16% of critical findings are never reported to referring clinicians. This drop in communication intuitively impacts patient care, especially those with ICH.