Medical imaging diagnostics
The identification of anomalies in diagnostic images is essential, but not always straightforward. Detecting lesions can be complex and requires a high level of attention and experience from doctors. To address this challenge, a leading multinational company in the production of imaging diagnostic instruments involved us in the development of a technology to automate and optimise the process, improving reliability and reducing the margin of error.
At Moxoff we have developed an algorithm based on neural networks and deep learning, capable of automatically analysing diagnostic images and identifying the presence of possible anomalies. The system promptly flags suspicious areas that require further evaluation, as it has been trained on countless images assessed by expert radiologists.
This approach enables AI support to be integrated into the diagnostic workflow, without replacing the doctor’s role, but improving their efficiency and accuracy.
