Visual AI inHealthcare & Medicine

Deliver better outcomes by using FiftyOne to build powerful solutions for detection, diagnosis, and care.

Benefits

Build better medical and healthcare solutions with Voxel51

Data is at the heart of medicine and healthcare. AI builders choose FiftyOne to help them refine visual data and models to build robust, reliable visual AI solutions.

Improve outcomes

Increase robustness and reliability of computer vision solutions by bringing quality data and insights to every step of your visual AI development with FiftyOne.

Deliver solutions faster

Shave months off of development time by using FiftyOne to streamline and automate how you curate data and test your models so that you can iterate quickly and get to production faster.

Increase productivity

Avoid repetitive and time consuming computer vision tasks while streamlining data annotation, data quality, and model evaluation workflows with FiftyOne.

Use cases

Help people live healthier, happier lives

Companies in medicine and healthcare rely on FiftyOne across their visual AI development to boost data quality and model performance.

Computer-aided detection and diagnosis

Assist healthcare providers in understanding and evaluating medical data by identifying suspicious regions in images and alerting physicians to concerning areas.

Monitoring disease progression

Precisely monitor disease progression over time. Enable doctors to track disease progression by comparing markers in biomedical images across different points in time.

Preoperative surgical planning

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

Intraoperative surgical guidance

Enable surgeons to use real-time visual and spatial information to navigate with enhanced precision. Fuse preoperative and intraoperative images with AR.

Assisting people with vision loss

Object and face recognition, monetary denomination verification, and spatial navigation help people with blindness or vision loss map and navigate their surroundings.

Slip and fall detection

Recognize, analyze, and predict fall incidents by detecting unusual movements or postures, and alert caregivers to ensure help arrives as soon as possible.

Features

How visual AI can help you

Book a demo

Manage millions of multimodal samples through a unified interface

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.

Evaluate and compare your models

Run analyses on regression, classification, detection, polygon, instance, and semantic segmentation tasks. Access standard aggregate metrics like classification reports, confusion matrices, and precision-recall curves directly within FiftyOne.

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.

resources

Learn more about visual AI in healthcare

Customer stories

How SafelyYou detected 350,000 elderly safety events with visual AI using FiftyOne

With FiftyOne, SafelyYou:

Reclaimed 80 hours of development time
Reduced 77% of images sent for manual verification
Improved Average Precision scores by 10%.

Read the story

“I use FiftyOne on a daily basis to improve the quality of our data and visually inspect model predictions.”
Marijn Lems
Machine Learning Engineer, Aidence

“We use FiftyOne’s CVAT integration to request and load annotations from doctors, and compare them to the models’ predictions. Using FiftyOne’s embeddings visualization, we get a better understanding of our data distribution and identify the most unique images by eliminating near duplicates.”
Oğuz Hanoğlu
PhD Candidate/Engineer, Multimedia Informatics

Resources

Developer resources

Datasets

Models

Google MedGemma
NVIDIA TotalSegmentator foundation model for MRI/CT segmentation
MedSAM2 Medical segmentation
Med-sam-2-video-torch

Tutorials

Data eats models for lunch

Talk to our computer vision experts to start building better datasets and models.