Vision AI for Healthcare | Improve Quality, Operations & Safety

"We wanted to develop models using data we owned, have the ability to scale usage, leverage state-of-the-art AI capabilities, and along the way ensure the privacy of our users’ personal health information. That’s what we found in Roboflow."

Alec Zopf Co-founder and Chief AI & Automation Officer at Wellth

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CASE STUDY

Improving outcomes with AI-powered care adherence

With over 20 million check-ins each year, Wellth helps people improve adherence to healthcare plans with a mix of behavioral science and technologies like computer vision.

Wellth used Roboflow to develop their proprietary computer vision applications. The platform's end-to-end development tools allowed them to create AI models to identify a range of medications and read health monitoring devices.

By integrating computer vision into their platform, Wellth helps people automate adherence monitoring, reducing time spent on manual data entry by 90%.

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Achieve immediate, organization-wide results

Accelerate AI deployment and solve complex challenges across the value chain.

Automate Quality Inspections

Catch quality issues early in pharmaceutical and equipment production. Automated inspections can detect contaminants, imperceptible micro-defects, and packaging integrity flaws, ensuring the highest safety standards.

Verify Inventory & Prescriptions

Ensure exact counts for prescriptions and automate stock updates using computer vision. This minimizes miscounts, prevents misplaced items, and enables predictive ordering, leading to a more efficient and reliable supply chain.

Optimize Admin & Operations

Transform documents into structured, searchable data and automate routine administrative tasks. Easily identify operational bottlenecks by monitoring patient wait times or the flow of people in facilities, boosting overall efficiency.

Guide Procedures & Training

Monitor complex procedures and provide real-time guidance to surgeons and operators. Analyze task execution in medical training videos with AI-assisted skills assessments, enhancing precision and learning.

Analyze Medical Imagery

Automatically detect abnormalities in medical scans like X-rays or MRIs. This provides consistent, unbiased insights, reducing human errors and significantly speeding up diagnostic turnaround times.

Enrich Patient Care & Monitoring

Improve patient outcomes by automatically reading vital signs from equipment, monitoring medication adherence, and proactively detecting unsafe situations. Gather critical insights to generate better, more personalized care plans.

Automate processes across your business

Streamline your entire food and beverage production process, from raw ingredient inspection to verifying label accuracy.

Equipment Manufacturing

Inspect product quality

Detect micro-defects

Verify assembly accuracy

Pharmaceutical Production

Identify contaminants

Verify packaging integrity

Track batch numbers

Hospital Operations

Monitor patient flow

Optimize staff allocation

Track equipment utilization

Pharmacy Management

Verify prescription count

Track medication inventory

Detect dispensing errors

Clinical Research

Analyze medical images

Redact patient data (PHI/PII)

Monitor trial behavior

Patient Care & Monitoring

Detect patient falls

Monitor medication intake

Read device displays

Workforce & Training

Assess surgical skills

Monitor PPE compliance

Analyze training exercises

Sterilization & Hygiene

Log instrument cleanliness

Monitor hygiene compliance

Track waste disposal protocols

Python

cURL

Javascript

Swift

.Net


from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://detect.roboflow.com",
    api_key="****"
)

result = CLIENT.infer(your_image.jpg, model_id="license-plate-recognition-rxg4e/4")

ARM CPU

x86 CPU

Luxonis OAK

NVIDIA GPU

NVIDIA TRT

NVIDIA Jetson

Raspberry Pi

Deploy AI wherever you need

Run on the platform of your choice – from air-gapped servers to cloud-connected cameras in your facility.

Self-hosted Deployment

Roboflow Inference: An open source and scalable way to run models on-device, with or without an internet connection.

Run inference on-device without the headache of environment management, dependencies, managing CUDA versions, and more.

HTTP interfaces for foundation models, like CLIP and SAM, which you can use directly in your application or as part of multi-stage inference processes.

Complex inference features including autobatching inference, multi-model containers, multithreading, and DMZ deployments.

UDP inference to keep latency as low as possible.

Workflows

Simplify Building and Deploying Vision AI Applications

Integrated workflow builder and deployment ensures what you configure runs in production.

Try Workflows

Combine custom models, open source models, LLM APIs, pre-built logic, and external applications

ARM CPU

x86 CPU

Luxonis OAK

NVIDIA GPU

NVIDIA TRT

NVIDIA Jetson

Raspberry Pi

ARM CPU

x86 CPU

Luxonis OAK

NVIDIA GPU

NVIDIA TRT

NVIDIA Jetson

Raspberry Pi

Python


result = client.run_workflow(
    workspace_name="suvjg",
    workflow_id="abc",
    images={
        "image": "YOUR_IMAGE.jpg"
    }
)

Deploy using a fully managed infrastructure with an API endpoint or on-device, internet connection optional

Enterprise-ready management

Streamlined deployment for large-scale computer vision environments.

Manage hundreds of devices

Monitor the status of all streams and devices in one console, track inference volume, modify settings, and push updates remotely.

Granular access controls

Single Sign-On (SSO) integration streamlines user authentication, while role-based access control provides granular permissions settings for admins.

Secure & compliant infrastructure

Data is protected by enterprise-grade security features, such as encryption at rest and transit, SOC 2 Type 2 compliance, and HIPAA-ready infrastructure.