EndorsedendorsedCompleted

AI Image Analysis Tool & Dashboard for The LivingCare Group

Services Covered:

AI and Machine LearningCustom Software DevelopmentUI/UX Design
Project hero — replace with case study imagery
Industry
Industry

Healthcare

Duration
Duration

6 months

Budget
Budget

10K - 49K

Client Size
Start Date

1 February 2025

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
82/100
Strong

Project Capability Score (PCS) estimates how capable Inexture Solutions is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

The LivingCare Group

mapLeeds, United Kingdom

Project Summary

INEXTURE Solutions Limited designed and developed an AI-powered image analysis tool and dashboard for a healthcare provider to improve diagnostic workflows. The engagement included consultation, strategy, model development, dashboard integration, cloud deployment on AWS, and post-deployment support. The solution accelerated report generation, reduced patient waiting times, and fit smoothly into the client's existing systems.

Key Challenges

  • The client needed to explore AI to make diagnostic processes more efficient.
  • They wanted to improve overall patient experience by reducing report times and increasing diagnostic throughput.

Project Deliverables

  • AI-powered image analysis tool
  • Machine learning models for MRI and CT scan pre-screening
  • User-friendly dashboard for clinicians
  • Integration into clinical workflow
  • Post-deployment support

Project Solution

INEXTURE Solutions Limited designed and developed AI models to analyze medical scans and built an AI-powered image analysis tool that pre-screens MRI and CT scans and generates preliminary diagnostic reports. They delivered end-to-end services including consultation, strategy, development, dashboard creation, integration into the clinic's workflow, cloud deployment on AWS, and post-deployment support. Technologies used included TensorFlow, Python, Node.js, React.js, and OpenAI.

Project Outcome

  • Diagnostic workflow became faster, with some reports reduced from hours to minutes.
  • Reduced patient waiting time and improved clinic efficiency.
  • The solution improved the speed and accuracy of workflows and integrated smoothly with the client's system.

Platforms

  • WebWeb

Tech Stack

  • TensorFlowTensorFlow
  • PythonPython
  • Node.jsNode.js
  • React.jsReact.js
  • Amazon Web Services (AWS)Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

4.88star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

INEXTURE Solutions Limited's work improved the client's diagnostic workflow, increasing speed and efficiency. The team delivered a solution that fit smoothly into the client's system. INEXTURE Solutions Limited's technical expertise, professionalism, and willingness to listen were commendable.

Chris Beck

Director

Note: This endorsement is based on publicly available client feedback from external review sources.

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