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Brain Scans

Common Problems with Medical Data Labelling

Prototyping new ideas is slow

Prototyping new ideas is slow

Scaling up products is difficult

Scaling up products is difficult 

Expensive regulatory approvals

Expensive regulatory approvals

Unreliable quality

Unreliable quality

Slow and difficult communication

Slow and difficult communication

Inability to deal with complexity

Inability to deal with complexity

Labelata - Enabling medical AI

Network of trained medical experts
high quality & reliable data

Labelata addresses challenges in medical data labelling
Labelata provides a network of trained experts

Easily scalable
from small to big projects

Labelata addresses challenges in medical data labelling
Labelata allows easily scalable projects

Robust quality assurance
helps regulatory approvals

Labelata addresses challenges in medical data labelling
Labelata has robust quality assurance

Expertise
in complex 3D segmentations

Labelata addresses challenges in medical data labelling
Labelata has expertise in complex 3D segmentation

Seamless communication
projects managed by medical experts

Labelata addresses challenges in medical data labelling
Labelata offers seamless communication

Highly flexible
fast adaptability & labels on demand

Labelata addresses challenges in medical data labelling
Labelata is highly flexible
Labelata's client David Golan from Viz.ai

David Golan
Co-founder, Viz.ai

"Viz derived great value from Labelata's work. It allowed us to jumpstart a project much faster than we would have otherwise and probably shaved 1-2 months off our delivery timeline which is significant. Not only was the speed and quality of the segmentations impressive, we particularly liked the ease of communication with the Labelata team."

SERVICES

Labelata specialises in supporting academics, firms and hospitals with Medical research and AI projects

Segmentation 4 .png
Doctor Analyzing X-Rays
Doctor Operating CT Scanner

DATA LABELLING

We ensure quality and protect your data

Provide manual segmentation and labelling of all anatomical structures using any types of medical images (e.g. MRI, CT etc.)

CONSULTING & QUALITY ASSURANCE

Technical advice & expertise from experienced Radiologists

Our network of radiologists with experience in AI projects provide quality assurance and advice to help plan your project

DATA ACQUISITION

Acquire training data

We acquire the training data you need to perform research and development

CASE STUDIES

How to scale up and commercialise research and development

Labelata has supported the Spine Biomechanics Group to publish multiple clinical studies and provided the comfort and reliability to scale their products. They have now created a spin-off to commercialise their research. 

Only available in English

Labelata's client Balgrist University Hospital

How to develop FDA-cleared algorithms to analyse medical imaging data

Viz.ai was able to launch the Left Ventricle/Right Ventricle ratio algorithm (an FDA approved AI algorithm). Labelata’s segmentations of the heart helped Viz.ai develop an algorithm that automatically calculates the ratio between the two ventricles, a critical measurement to evaluate the severity of pulmonary embolism.

Only available in English

Labelata's client Viz.ai

How to establish ground truth for Medical AI models?

Labelata's team of highly skilled musculoskeletal experts helped Covera Health to produce ground truth. Using this training data, Covera was able to build AI models to develop software providing quality insights on Musculoskeletal ('MSK') radiology. 

Only available in English

Labelata's client Covera Health

CLIENTS

Labelata's client Covera Health
Labelata's client Viz.ai

ETH COMPUTER VISION LAB

UNIVERSITY OF ZURICH

Labelata's client Balgrist University Hospital
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