DEEP
LEARNING
MEETS
MEDICAL
IMAGING

We use cutting-edge deep learning
technology to help diagnose disease and
recommend personalized treatment plans
from healthcare imaging data

MEDICAL IMAGING IS GOING THROUGH A DATA REVOLUTION

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.

UP TO600

images produced by a single MRI scan

1 M

million terabytes of digital imaging data

$38 B

annual losses due to sub-optimal radiology processes

MORE THAN20%

false negative diagnostic errors on chest X rays

ONLY 55%

of physician time spent on face-to-face patient care

Our deep learning algorithms accurately detect and highlight abnormalities, reducing the chances of missing a diagnosis.

Solutions

Solutions

Each solution is offered as a remotely accessible API, or available as a plugin for your DICOM viewer. For custom solutions or integration with a PACS system or imaging device, please get in touch.

Our deep learning algorithms precisely quantify disease and tumor volumes, so that patient response to therapy can be monitored closely.

SCIENCE

Applying deep learning to medical images poses a special set of challenges. At Qure.ai we've 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 our key focus areas is algorithm interpretability, ensuring that the reason for a suggested diagnosis is clear to a doctor.

As we develop new solutions and validate them in the clinical setting, we publish our results at deep learning and medical imaging conferences. You can find some of the work we have presented at MICCAI conferences here and here .

brain

RepositoryWe believe that science progresses faster with collaborative effort, and that the best solutions are not developed in isolation. In this spirit, we open-source our research where possible.

LATEST ACTIVITY

TEAM

We are a team of computer scientists, medical practitioners and bioinformaticians. We apply the latest deep learning research to healthcare questions, and develop innovative solutions that will revolutionize the way patients are diagnosed and treated.

We are looking for talented individuals to join the Qure team in India and the San Francisco Bay Area. If you want to be part of this forward-thinking company on the forefront of deep learning, apply now at careers@qure.ai

PARTNER WITH US

Partnering with clinicians helps us identify the most relevant problems, and create real-world solutions. Much of our research is done in collaboration with hospitals, universities and research institutions. If you are a medical institution and would like to partner with us on a deep learning solution, please reach out.