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Help people live healthier, happier lives

Data is at the heart of patient care. Medical teams choose FiftyOne and FiftyOne Teams to boost data quality, model performance, and patient outcomes.

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“I use FiftyOne on a daily basis to improve the quality of our data and visually inspect model predictions. I much prefer the interactive experience of FiftyOne over static notebooks with matplotlib figures.“

“METU uses FiftyOne at various stages of research. We use FiftyOne’s CVAT integration to request and load annotations from doctors. We compare doctors’ annotations and the models’ predictions. Using FiftyOne’s embeddings visualization, we get a better understanding of our data distribution. We also produce synthetic images with GANs, then identify the most unique images by eliminating near duplicates.”

Companies in medicine and healthcare rely on 
FiftyOne and FiftyOne Teams across their AI pipeline

Computer-aided detection and diagnosis

Computer vision assists healthcare providers in understanding and evaluating medical data by identifying suspicious regions in images and alerting the physician to these concerning areas.

Monitoring disease progression

Computer vision can be used to precisely monitor the progression of a disease over time. These models allow doctors to track the progression of various diseases by comparing markers in biomedical images taken at different points in time.

Preoperative surgical planning

When digital templating, visualization, and simulation is combined with CT scans and other diagnostic imaging, it can help minimize surgery time and its invasiveness. This reduces costs, time in the operating room, and even mortality rates.

Intraoperative surgical guidance

Computer vision enables image guided surgery like MIS, which allows surgeons to use real time visual and spatial information to navigate with enhanced precision. Intraoperative images can also be fused with preoperative images in AR environments.

Assisting people with vision loss

Computer vision capabilities like object and face recognition, monetary denomination verification and spatial navigation help people with blindness or limited vision map and navigate their surroundings. This makes it easier for them to live independently.

Slip & fall detection

Computer vision can be used to recognize, analyze, and predict potential fall incidents by detecting unusual movements or postures, These detections can then be used to alert caregivers to ensure help arrives as soon as possible.
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Increase productivity

Focus on what matters by avoiding repetitive or  time consuming computer vision tasks that can be easily automated with FiftyOne.

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Get to production faster

Shave months of development time off your computer vision project by using FiftyOne to increase the velocity in how you curate data and test your models.

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Save money

Time to production, engineering productivity, annotators, and hardware to train and test can add up quickly. FiftyOne helps you automate, increase accuracy, iterate quickly, and get to production faster.

Healthcare workflows enabled by FiftyOne and FiftyOne Teams

Organize millions of samples in 
multiple formats

Machine learning engineers spend over half of their time wrangling data, but it doesn’t have to be that way. Use FiftyOne’s powerful dataset import and manipulation capabilities to manage millions of diagnostic images and videos.

Find and eliminate false positives

By curating better datasets and training more accurate models, FiftyOne can help drive down false positives that the model predicts incorrectly. For example, this could mean less patients being told they have a disease when they are actually healthy.

De-identification of patient data

Medical images acquired for clinical purposes are critical for use in research. However, before the images can be used, sensitive metadata elements (PII or PHI) from DICOM images need to be removed. FiftyOne can help you view and curate these datasets, verifying their compliance before training your models.

Data versioning

FiftyOne Teams enables you to track revisions to your datasets so you always know what data your models are trained on. View or rollback to previous versions of your datasets at any time. This history can prove critical in situations where compliance is mandatory.

Streamline your visual AI workflows

Supports all popular
computer vision tasks

> Classification
> Detection
> Instance segmentation
> Semantic segmentation
> Polygons and polylines
> Keypoints

> Point clouds and annotations
> Geolocation
> Embeddings
> Multiview datasets
> Image, video, and 3D data

See how computer vision is changing the healthcare industry

Chestxray Dataset

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