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AI-Powered Point-of-Care Ultrasound Guidance & Interpretation Platform

Plavno developed an AI-powered platform for point-of-care ultrasound that helps clinicians capture better scans, assess image quality in real time, and receive preliminary interpretation support at the bedside.

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Overview

Key Metrics & Impact

The solution was designed for healthcare providers using portable or bedside ultrasound in emergency care, primary care, outpatient settings, and remote medical environments. The platform combines scan guidance, image quality analysis, AI-assisted interpretation, and integration with clinical systems into one modular diagnostic product.

  • Faster ultrasound acquisition for non-expert operators

  • Better image quality consistency across different care settings

  • Reduced repeat scans caused by poor capture quality

  • Stronger support for bedside diagnostic decisions

  • Improved access to ultrasound-based diagnostics in underserved locations

Solutions
Challenges
Use Cases
<span>Key Metrics</span> & Impact
01

Problem

Point-of-care ultrasound is increasingly used outside traditional radiology departments, but image quality and interpretation still depend heavily on operator skill.

Common challenges included:


  • Difficulty obtaining diagnostically useful views

  • Inconsistent scan quality across clinicians and departments

  • Limited access to experienced sonographers or radiologists

  • Repeat scans caused by poor initial capture

  • Slower decision-making in urgent bedside scenarios


The client wanted to make ultrasound more accessible, more consistent, and more clinically useful in fast-paced and resource-constrained environments.

Problem
02

Challenge

The platform needed to:


  • Provide real-time guidance during scanning

  • Detect whether the captured view was diagnostically useful

  • Support preliminary AI-assisted interpretation of selected ultrasound studies

  • Work with portable and point-of-care ultrasound devices

  • Integrate into existing healthcare workflows and image storage environments

  • Remain fast enough for real clinical use


There were also important constraints:


  • Scan quality varied significantly depending on operator skill

  • The AI layer had to support, not replace, clinical judgment

  • The system needed to work in bedside and remote scenarios with limited infrastructure

  • The platform had to be modular enough to support different clinical use cases over time

Challenge

Solution

AI-Powered Point-of-Care Ultrasound Platform

Real-time guidance, image quality scoring, anatomical recognition, and AI-assisted interpretation — integrated seamlessly into clinical workflow

Product Highlights

    • Real-time ultrasound scan guidance

    • Image quality feedback during capture

    • Anatomical view recognition

    • Preliminary AI-assisted interpretation support

    • Exam recording, storage, and re-review

    • Clinician dashboard and structured findings support

    • Integration with PACS, EHR/EMR, and telemedicine workflows

User Flows

    • Start the Exam: The clinician launches an ultrasound session on a portable or bedside device connected to the platform.

    • Capture with Guidance: The system provides real-time feedback on probe positioning, target view quality, and whether the captured image is clinically usable.

    • Analyze the Scan: The AI model evaluates the acquired image set and highlights suspicious findings or incomplete views.

    • Review and Route: The clinician reviews the results, saves the exam, and shares it internally or for remote specialist review when needed.

Experience & Scalability

    • Supports emergency departments, outpatient clinics, primary care, and remote care settings

    • Suitable for portable and bedside ultrasound workflows

    • Helps less experienced operators capture clinically useful scans

    • Can scale across multiple ultrasound use cases and departments

    • Designed as a modular AI imaging layer for broader healthcare ecosystems

Architecture Overview

Deep Dive: Project Architecture

  • Device & Capture Layer: The platform connects to ultrasound devices and receives scan data in real time.

  • Guidance Layer: AI models assess view quality, probe positioning patterns, and scan completeness during image acquisition.

  • Interpretation Layer: Selected imaging patterns are analyzed for preliminary clinical support and anomaly highlighting.

  • Review Layer: Clinicians access captured studies, structured summaries, image quality results, and prior exam history.

  • Integration Layer: The platform can connect with EHR/EMR, PACS, telemedicine systems, and cloud medical infrastructure.

  • Deployment Layer: Supports local, cloud, or hybrid deployment depending on infrastructure and latency requirements.

Deep Dive: <span>Project Architecture</span>

Value

Quality & Fidelity

Better scan quality, clearer interpretation support, and more reliable point-of-care imaging workflows

Better Image Acquisition

Better Image Acquisition

The platform helps clinicians capture more useful ultrasound views the first time.

Image quality
Scan guidance
Portable ultrasound
MVP
MVP
Stronger Clinical Support

Stronger Clinical Support

AI helps surface suspicious patterns and incomplete scans earlier.

Interpretation support
Imaging AI
Decision support
MVP
MVP
Fewer Repeat Exams

Fewer Repeat Exams

Better first-pass capture quality reduces the need for unnecessary repeated imaging.

Workflow efficiency
Repeat reduction
Diagnostic quality
MVP
MVP
Broader Access to Ultrasound

Broader Access to Ultrasound

The platform helps extend ultrasound use into settings with fewer specialists.

Access to care
Remote diagnostics
Scalable imaging
MVP
MVP

Benchmarks

Scale & Reliability

Built for bedside imaging, portable devices, and real-time AI support across distributed healthcare environments

Real-Time Performance

Real-Time Performance

The platform is designed for use during active exams, not only after image capture.

Real-time imaging
Low latency
Bedside workflows
Flexible Deployment

Flexible Deployment

Supports local, cloud, and hybrid deployment models.

Local deployment
Cloud imaging
Hybrid model
Multi-Use Expansion

Multi-Use Expansion

The architecture can support additional ultrasound use cases over time.

Extensibility
Clinical modules
Growth-ready platform
Remote Collaboration Support

Remote Collaboration Support

Captured studies can be reviewed and shared for second opinion or specialist input.

Remote review
Telemedicine
Specialist support

Data Protection

Security & Compliance

Enterprise-grade protection for imaging data, exam records, and healthcare system integrations

Controlled Study Access

Controlled Study Access

Exam data and image history are managed through governed clinical workflows.

Secure Image Handling

Secure Image Handling

Ultrasound studies and metadata are processed through protected medical infrastructure.

Better Clinical Traceability

Better Clinical Traceability

The platform improves visibility into scan quality, exam history, and AI-supported diagnostic workflows.

Innovative Experience

Industries & Use Cases

AI-powered ultrasound support for bedside diagnostics, remote care, and distributed clinical teams

Primary Care & Outpatient Clinics

Primary Care & Outpatient Clinics

Improve point-of-care imaging workflows outside radiology.

Telemedicine & Remote Medicine

Telemedicine & Remote Medicine

Enable remote review and specialist collaboration.

Emergency & Acute Care

Emergency & Acute Care

Support faster bedside imaging decisions.

Mobile Healthcare Programs

Mobile Healthcare Programs

Expand ultrasound access in underserved and field-based settings.

Delivery Crew

Project Team

High-performing developers for growing companies

Eugene Katovich

Eugene Katovich

Sales Manager

Need an AI-powered ultrasound platform for scan guidance and bedside diagnostics?

Plavno builds AI imaging solutions that help healthcare teams capture better scans, improve interpretation workflows, and scale portable diagnostics across modern care environments.

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Competitive Ability

Key Performance Flow

Showing how Plavno transforms portable ultrasound into an AI-assisted bedside diagnostic tool

From live image capture to clinician-ready interpretation support — everything runs through one real-time imaging workflow.

01

Capture the Scan

The clinician starts the ultrasound exam and the platform receives the live imaging stream.

02

Guide the Operator

The system evaluates image quality and helps the user improve the scan while the exam is in progress.

03

Support Clinical Review

The exam is stored, displayed in a clinician-friendly interface, and prepared for review, sharing, or follow-up.

04

Deliver Structured Clinical Output

Return the AI report to the clinician through HIMS or the medical platform and enable historical comparison where needed.

Workflow & Delivery

Workflow & Delivery

    • Live exam support

    • Clinician-facing review tools

    • Structured exam output

    • Integration with clinical systems

Scale & Deployment

Scale & Deployment

    • Portable device support

    • Bedside and remote use cases

    • Cloud or hybrid deployment

    • Scalable diagnostic imaging foundation

AI & Imaging Quality

AI & Imaging Quality

    • Real-time view recognition

    • Image quality scoring

    • Scan guidance support

    • Preliminary anomaly detection

Results

Outcomes delivered by an AI-powered ultrasound guidance and interpretation platform

Faster Bedside Decisions

Faster Bedside Decisions

The platform shortens the time from scan to actionable insight.

Better Scan Consistency

Better Scan Consistency

Clinicians capture more usable studies across varying skill levels.

Better Use of Specialist Time

Better Use of Specialist Time

Remote experts review higher-quality studies with more context.

Stronger AI Imaging Foundation

Stronger AI Imaging Foundation

The solution creates a scalable base for broader AI-assisted imaging workflows.

Reduced Operator Dependency for Critical Views

Reduced Operator Dependency for Critical Views

The platform helps less experienced users consistently capture diagnostically useful views.

Tools We Used

Technology stack

Imaging Ingestion

Imaging Ingestion

Ultrasound stream input
Device connectivity
Exam capture
Deployment

Deployment

Cloud infrastructure
Hybrid deployment
Monitoring
Clinical Interface

Clinical Interface

Exam viewer
Structured summaries
Review workflows
Backend & APIs

Backend & APIs

Backend API
Healthcare integrations
Study management
AI Layer

AI Layer

View recognition
Quality scoring
Anomaly support

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Frequently Asked Questions

Quick Answers

Find answers to your common concerns

Can the platform guide the scan in real time?

Yes. It is designed to help clinicians improve scan quality during image acquisition.

Does it replace ultrasound specialists?

No. It supports clinicians and helps escalate or share studies when specialist review is needed.

Can it be integrated into healthcare systems?

Yes. The platform is designed for integration with EHR/EMR, PACS, and telemedicine systems.

Is it suitable for portable ultrasound devices?

Yes. The solution is specifically designed for point-of-care and portable imaging workflows.

About Plavno

Why choose Plavno?

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800+ Projects Delivered

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Testimonials

We are trusted by our customers

“They really understand what we need. They’re very professional.”

The 3D configurator has received positive feedback from customers. Moreover, it has generated 30% more business and increased leads significantly, giving the client confidence for the future. Overall, Plavno has led the project seamlessly. Customers can expect a responsible, well-organized partner.

Sergio Artimenia

Commercial Director, RNDpoint

Sergio Artimenia

“We appreciated the impactful contributions of Plavno.”

Plavno's efforts in addressing challenges and implementing effective solutions have played a crucial role in the success of T-Rize. The outcomes achieved have exceeded expectations, revolutionizing the investment sector and ensuring universal access to financial opportunities

Thien Duy Tran

Product Manager, T-Rize Group

Thien Duy Tran

“We are very satisfied with their excellent work”

Through the partnership with Plavno, we built a system used by more than 40 million connected channels. Throughout the engagement, the team was communicative and quick in responding to our concerns. Overall, we were highly satisfied with the results of collaboration.

Michael Bychenok

CEO, MediaCube

Michael Bychenok

“They have a clear understanding of what the end user needs.”

Plavno's codes and designs are user-friendly, and they complete all deliverables within the deadline. They are easy to work with and easily adapt to existing workflows, and the client values their professionalism and expertise. Overall, the team has delivered everything that was promised.

Helen Lonskaya

Head of Growth, Codabrasoft LLC

Helen Lonskaya

“The app was delivered on time without any serious issues.”

The MVP app developed by Plavno is excellent and has all the functionality required. Plavno has delivered on time and ensured a successful execution via regular updates and fast problem-solving. The client is so satisfied with Plavno's work that they'll work with them on developing the full app.

Mitya Smusin

Founder, 24hour.dev

Mitya Smusin

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