Medical Video Annotation for AI

Video is a growing dataset available for AI development. Our annotation platform enables clients to structure video by both classifying one or multiple findings from a set of options and segmenting regions of interest.

Use cases

Surgical video

From minimally invasive to open surgery, tag and segment visible surgical instruments, lesions and organs. Tag operating room features and communication between surgeons for content and sentiment.

Clinical sessions

Tag a patient, caregiver or provider’s facial expressions, intonation or emotional responses, whether in a counseling session, or during a procedure. Identify content and sentiment of communication between speakers.

Annotation types

Classification

Polygon segmentation

Box segmentation

Line segmentation

Circle segmentation

Range selection

Trusted by AI leaders across healthcare

“We were able to use the disagreement between labelers to convert categorical labels into a continuous metric. That’s ultimately the training data we used and it was only possible because of the 20+ opinions we could gather from Centaur.ai on each piece of our data.”

Dr. Jason Shumake
Director of Data Science
Read the story →

“The speed of Centaur.ai’s work - it’s incredible. If you've never used the product, it’s hard to even realize how much more efficient you can be at labeling if you've got thousands of medically knowledgeable people looking at your data and telling you how it should and shouldn’t be labeled.”

Jennifer Nam
Clinical Operations Lead
Read the story →

“We were able to improve our model dramatically - from .6 to .83 F1 score - in part, because of Centaur.ai.”

Fausto Milletarì
Sr. AI Scientist
Read the story →