Qure

Qure.ai use cutting-edge deep learning technology to help diagnose disease and recommend personalized treatment plans from healthcare imaging data. Worldwide, the number of medical imaging procedures being performed is increasing several times faster than the number of doctors who can interpret them. Each scan is much more complex and information-rich than it used to be. Physician workload keeps increasing, as does the amount of information that they need to process before reaching a diagnosis. In this setting, the chance of human error increases, and doctors may miss a diagnosis that is evident in hindsight.

Qure’s deep learning algorithms accurately detect and highlight abnormalities, reducing the chances of missing a diagnosis. Each solution is offered as a remotely accessible API or available as a plug-in for your DICOM viewer. Qure is ideal for custom solutions or integration with a PACS system or imaging device. Qure deep learning algorithms precisely quantify disease and tumor volumes, so that patient response to therapy can be monitored closely. Applying deep learning to medical images poses a special set of challenges.

Qure.ai has tailored deep learning algorithms to deal with these challenges and to make the most of the rich 3-dimensional information contained in medical images. One of Qure’s key focus areas is algorithm interpretability, ensuring that the reason for a suggested diagnosis is clear to a doctor. As it develop new solutions and validate them in the clinical setting, Qure publish results at deep learning and medical imaging conferences. Qure believe that science progresses faster with collaborative effort, and that the best solutions are not developed in isolation. In this spirit, it is creates open-source of research.