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Enhancing an Innovative Tumor Detector with Scalable ML Infrastructure

Facilitating the scalability of a cutting-edge radiology imaging platforms and boosting the accuracy and efficiency of the ML model predicting the probability of the development of cancer using the information extracted from CT scans and MRIs.

A clinitian with CT scans

Project Highlights

90% faster image processing due to ML model optimization

Environment setup time reduced from several hours to a few minutes

Seamless integration with the client’s ML model for DICOM analysis

Customizable viewer interface for clinical-grade use

Project Highlights

90% faster image processing due to ML model optimization

Environment setup time reduced from several hours to a few minutes

Seamless integration with the client’s ML model for DICOM analysis

Customizable viewer interface for clinical-grade use

Project Summary

About Client

Our client is a Barcelona-based tech startup founded in 2020. The company specializes in medical imaging analysis, providing radiologists with an easy-to-use, state-of-the-art tool that simplifies diagnostics and improves the quality of care.
 
The proprietary ML model utilized by our client has proven its efficiency in detecting and characterizing lesions on CT scans and MRIs, earning the company multiple HealthTech awards and support from several investors.
 
Currently, the company focuses on the investigation of radiological findings in the pancreas; however, in the near future, the software will expand to the analysis of lesions found in the liver and kidneys.

Client Request

Prior to partnering with Light IT Global, our client had already developed a cutting-edge AI/ML-powered software that enhances the diagnostics of abdominal injuries and predicts their evolution with high accuracy.
 
However, the cooperation with healthcare facilities was mostly manual, which seriously limited our client’s commercial potential, blocked scaling, and negatively influenced customer satisfaction.
 
As Light IT Global’s team has experience with custom radiology imaging software development, creating an on-premise cloud solution adopted by Philips Healthcare, our experts were trusted to resolve an array of challenges that stalled our client’s success.

The Outcome

A robust, scalable ML-based infrastructure facilitates the integration of AI/ML technology into clinical workflows, making the benefits of IT innovation more accessible to clinicians and patients.
 
The optimizations implemented by Light IT Global helped to accelerate the model inference nearly tenfold, simultaneously ensuring the system’s stability even during peak load periods.
 
At the same time, as the solution is intended to be used by thousands of radiologists in numerous medical facilities across the globe, data security and utmost privacy were cornerstones of the development process as well. That’s why our team safeguarded the easy and quick creation of isolated environments for different clinics and medical offices to work independently.
 
To ensure the project’s success, Light IT Global’s specialists carried out multiple tasks, including but not limited to the following:

Developed a custom automated system for provisioning isolated environments for clinics, internal use, and demo purposes.

Customized and extended an open-source DICOM viewer to support clinical workflows.

Сreated a fail-safe management and routing studies system based on multiple instances of Orthanc.

Established a robust user management and invitation system to safeguard scalability, industry compliance, and data security.

Enabled automated analysis pipeline with the client’s ML model and report generation.

Implemented multi-role validation, findings approval, and visual verification workflows.

Achieved a 90% performance gain in ML inference by optimizing logic and GPU usage.

Introduced cybersecurity best practices like user role management and data encryption to ensure the maximum level of data protection.

Created a smooth and uninterrupted user experience to safeguard quick onboarding and a frictionless workflow for healthcare professionals utilizing the solution.

Project Summary

About Client

Our client is a Barcelona-based tech startup founded in 2020. The company specializes in medical imaging analysis, providing radiologists with an easy-to-use, state-of-the-art tool that simplifies diagnostics and improves the quality of care.
 
The proprietary ML model utilized by our client has proven its efficiency in detecting and characterizing lesions on CT scans and MRIs, earning the company multiple HealthTech awards and support from several investors.
 
Currently, the company focuses on the investigation of radiological findings in the pancreas; however, in the near future, the software will expand to the analysis of lesions found in the liver and kidneys.

Client Request

Prior to partnering with Light IT Global, our client had already developed a cutting-edge AI/ML-powered software that enhances the diagnostics of abdominal injuries and predicts their evolution with high accuracy.
 
However, the cooperation with healthcare facilities was mostly manual, which seriously limited our client’s commercial potential, blocked scaling, and negatively influenced customer satisfaction.
 
As Light IT Global’s team has experience with custom radiology imaging software development, creating an on-premise cloud solution adopted by Philips Healthcare, our experts were trusted to resolve an array of challenges that stalled our client’s success.

The Outcome

A robust, scalable ML-based infrastructure facilitates the integration of AI/ML technology into clinical workflows, making the benefits of IT innovation more accessible to clinicians and patients.
 
The optimizations implemented by Light IT Global helped to accelerate the model inference nearly tenfold, simultaneously ensuring the system’s stability even during peak load periods.
 
At the same time, as the solution is intended to be used by thousands of radiologists in numerous medical facilities across the globe, data security and utmost privacy were cornerstones of the development process as well. That’s why our team safeguarded the easy and quick creation of isolated environments for different clinics and medical offices to work independently.
 
To ensure the project’s success, Light IT Global’s specialists carried out multiple tasks, including but not limited to the following:

Developed a custom automated system for provisioning isolated environments for clinics, internal use, and demo purposes.

Customized and extended an open-source DICOM viewer to support clinical workflows.

Сreated a fail-safe management and routing studies system based on multiple instances of Orthanc.

Established a robust user management and invitation system to safeguard scalability, industry compliance, and data security.

Enabled automated analysis pipeline with the client’s ML model and report generation.

Implemented multi-role validation, findings approval, and visual verification workflows.

Achieved a 90% performance gain in ML inference by optimizing logic and GPU usage.

Introduced cybersecurity best practices like user role management and data encryption to ensure the maximum level of data protection.

Created a smooth and uninterrupted user experience to safeguard quick onboarding and a frictionless workflow for healthcare professionals utilizing the solution.

Location

Spain

Industry

Healthcare

Partnership Period

10 months

Type

Enterprise Medical Imaging Solution

Platform

Web

Team Size

10 experts

Services

IT Consulting, Custom Software Development, Data Science, and AI/ML services

Expertise

Web Development, DevOps, Quality Assurance and Testing, UI/UX Design

Tech Stack

Node.js, React, Python, Orthanc, OHIF Viewer, PostgreSQL, PyTorch, NumPy, CUDA, Matplotlib, Argo CD, Helm Chart, Kubernetes, IaC, Terraform

Project Details

Business Challenge

While the latest advancements in AI/ML-based HealthTech promise a wide array of benefits to radiology specialists, in reality the integration process is typically too complicated, time-consuming, and resource-intensive. As a result, many specialists end up not utilizing AI-powered software at all and still rely on less effective assessment techniques including manual.
 
Our client’s goal is to shift the perception of AI-based screening tools and deliver a cutting-edge digital product that would enhance the workflow of a modern radiologist rather than disrupt it. That is why the process of the software development vendor selection was thorough and vigorous. It was absolutely necessary for an IT provider to not only be experienced in the development of modern radiology imaging software but also well-versed in the complexities of the medical workflow.
 
The final product should combine security, full compliance, and accurate analysis with ease of use, intuitive interface, and smooth PACS integration.

Implementation

Since day one of cooperation on this project, Light IT Global’s goals have been to take all the necessary technical measures to optimize the software’s performance, ensure easy scalability, and modularity through clean architecture and flexible infrastructure. To achieve that, our experts offered and implemented the following procedures:

Organize the project in layers such as presentation, domain, and data to follow a clean architecture.

Place business logic in reusable custom hooks or services.

Introduce lazy loading to load components only when needed.

Design small, reusable, and decoupled components. Use props and slots to compose complex components.

Set up a new, solid database with only the necessary tables and clear, well-defined relationships.

Incorporate integrity control, constraints (Primary Keys, Foreign Keys, Unique, Check, NotNull)

Implement a set of data security measures promoting safe authentication and authorization, encryption of sensitive data, and prevention of common attacks

Careful technical execution that facilitates the smooth operation of the solution’s front-end and back-end was paired with modern intuitive UI/UX and thorough testing. The use of reliable libraries like Material-UI allowed to create a responsive layout and clean UI. Both integration and unit tests (Jest and React Testing) were performed to secure the quality of the final product and the stability/security of all the components.
Software structure diagram

Solution Delivered

A custom environment provisioning system created by our experts utilizes a role-based access model, with user roles being user, environment administrator, and reviewer. Each person accessing the environment has a unique ID, username, and email address, which strengthens accountability, simplifies user management, provides operational clarity, and boosts data protection.
 
Each isolated environment is a customised and extended version of the OHIF viewer where users can easily manage studies (upload, view, inspect, delete). File validation mechanisms on the server side ensure that only properly formatted files with correct DICOM tags are accepted. This prevents incorrect display and poor analysis results.
 
The user also gets easy access to a set of tools for CT scans analysis as well as one-button study analysis via the ML script. Once the ML script finishes the analysis, two additional modalities are added to the study:
 
1. Secondary capture — a visual representation of the analysis results
2. Structured Report — a textual summary report
 
The report contains a number of actionable insights about all findings (like location, size, characteristics), general information, and comparison with the previous studies.
 
All findings detected by the script can be digitally assessed to safeguard accuracy and proper classification. As the whole process is quick and automated while still providing instant access to all the necessary medical information, radiologists receive a valuable web-based tool that saves time, provides convenience, and enhances the diagnostic process, ensuring nothing is missed.
 
Light IT Global’s ML-focused contributions to the product significantly improved model performance and usability, resulting in a solution ready for real-world clinical environments.
Tumor detector interface

Business Outcome

The unique medical device software offered by our client has the potential to revolutionize the way AI/ML-based solutions are used in radiology, in general, and in cancer prevention, in particular.
 
The software is MDR-approved, ensures 96,6% lesion detection sensitivity, and provides a number of benefits to both radiologists and healthcare facilities. The platform provides automatic test fetching and comparison, is fully integrable in the PACS, and offers fully isolated environments for each facility, which combines ease of use and data security. The system’s ability to bring real-life value without any disruption to the existing medical workflows (which may vary across facilities) boosts adoption and increases the commercial potential of the product.
 
The solution is patented and certified. It has already been successfully showcased on multiple radiology-specific congresses across the globe and is currently present in +10 sites across Europe.

Project Details

Business Challenge

While the latest advancements in AI/ML-based HealthTech promise a wide array of benefits to radiology specialists, in reality the integration process is typically too complicated, time-consuming, and resource-intensive. As a result, many specialists end up not utilizing AI-powered software at all and still rely on less effective assessment techniques including manual.
 
Our client’s goal is to shift the perception of AI-based screening tools and deliver a cutting-edge digital product that would enhance the workflow of a modern radiologist rather than disrupt it. That is why the process of the software development vendor selection was thorough and vigorous. It was absolutely necessary for an IT provider to not only be experienced in the development of modern radiology imaging software but also well-versed in the complexities of the medical workflow.
 
The final product should combine security, full compliance, and accurate analysis with ease of use, intuitive interface, and smooth PACS integration.

Implementation

Since day one of cooperation on this project, Light IT Global’s goals have been to take all the necessary technical measures to optimize the software’s performance, ensure easy scalability, and modularity through clean architecture and flexible infrastructure. To achieve that, our experts offered and implemented the following procedures:

Organize the project in layers such as presentation, domain, and data to follow a clean architecture.

Place business logic in reusable custom hooks or services.

Introduce lazy loading to load components only when needed.

Design small, reusable, and decoupled components. Use props and slots to compose complex components.

Set up a new, solid database with only the necessary tables and clear, well-defined relationships.

Incorporate integrity control, constraints (Primary Keys, Foreign Keys, Unique, Check, NotNull)

Implement a set of data security measures promoting safe authentication and authorization, encryption of sensitive data, and prevention of common attacks

Careful technical execution that facilitates the smooth operation of the solution’s front-end and back-end was paired with modern intuitive UI/UX and thorough testing. The use of reliable libraries like Material-UI allowed to create a responsive layout and clean UI. Both integration and unit tests (Jest and React Testing) were performed to secure the quality of the final product and the stability/security of all the components.
Software structure diagram

Solution Delivered

A custom environment provisioning system created by our experts utilizes a role-based access model, with user roles being user, environment administrator, and reviewer. Each person accessing the environment has a unique ID, username, and email address, which strengthens accountability, simplifies user management, provides operational clarity, and boosts data protection.
 
Each isolated environment is a customised and extended version of the OHIF viewer where users can easily manage studies (upload, view, inspect, delete). File validation mechanisms on the server side ensure that only properly formatted files with correct DICOM tags are accepted. This prevents incorrect display and poor analysis results.
 
The user also gets easy access to a set of tools for CT scans analysis as well as one-button study analysis via the ML script. Once the ML script finishes the analysis, two additional modalities are added to the study:
 
1. Secondary capture — a visual representation of the analysis results
2. Structured Report — a textual summary report
 
The report contains a number of actionable insights about all findings (like location, size, characteristics), general information, and comparison with the previous studies.
 
All findings detected by the script can be digitally assessed to safeguard accuracy and proper classification. As the whole process is quick and automated while still providing instant access to all the necessary medical information, radiologists receive a valuable web-based tool that saves time, provides convenience, and enhances the diagnostic process, ensuring nothing is missed.
 
Light IT Global’s ML-focused contributions to the product significantly improved model performance and usability, resulting in a solution ready for real-world clinical environments.
Tumor detector interface

Business Outcome

The unique medical device software offered by our client has the potential to revolutionize the way AI/ML-based solutions are used in radiology, in general, and in cancer prevention, in particular.
 
The software is MDR-approved, ensures 96,6% lesion detection sensitivity, and provides a number of benefits to both radiologists and healthcare facilities. The platform provides automatic test fetching and comparison, is fully integrable in the PACS, and offers fully isolated environments for each facility, which combines ease of use and data security. The system’s ability to bring real-life value without any disruption to the existing medical workflows (which may vary across facilities) boosts adoption and increases the commercial potential of the product.
 
The solution is patented and certified. It has already been successfully showcased on multiple radiology-specific congresses across the globe and is currently present in +10 sites across Europe.

Location

Spain

Industry

Healthcare

Partnership Period

10 months

Type

Enterprise Medical Imaging Solution

Platform

Web

Team Size

10 experts

Services

IT Consulting, Custom Software Development, Data Science, and AI/ML services

Expertise

Web Development, DevOps, Quality Assurance and Testing, UI/UX Design

Tech Stack

Node.js, React, Python, Orthanc, OHIF Viewer, PostgreSQL, PyTorch, NumPy, CUDA, Matplotlib, Argo CD, Helm Chart, Kubernetes, IaC, Terraform

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White checkmark in a blue box icon Your privacy is protected
Clutch logo
Forbes logo
IAOP the global outsourcing 100 badge
Echalliance badge
ISO 9001:2015 certification badge
ISO 27001 certification badge
Clutch logo
4.9 - 41 Reviews
Goodfirms logo
4.8 - 19 Reviews
2022 company of the year golden badge

Boost Your Business Growth with Cutting-Edge Software

Denis Kovalenko Light IT

Denis Kovalenko

VP of Sales and IT Services