Case Study

AI-Powered Diagnostic Solution for Musculoskeletal Injury Assessment

Utilising Advanced AI Technology for Accurate and Efficient Diagnosis and Treatment Planning
AI enabled Musculoskeletal Injury Assessment
%

Enhanced Diagnostic Accuracy

%

Decreased Variability in Clinical Decisions

%

Clinical User Satisfaction

Background

In the healthcare industry, accurate musculoskeletal injury assessment is crucial for effective treatment. Traditional methods often lack precision and speed leading to inconsistencies in clinical decisions. 

Tata Elxsi collaborated with medical professionals to develop an advanced  AI-based Diagnostic platform. This platform analyses ultrasonography images to provide real-time quantification of tendon and ligament health, enabling precise data-driven assessments. 

Leveraging it's expertise in AI and healthcare technologies, Tata Elxsi ensured a reliable, cutting-edge AI-based diagnostic platform for clinicians and healthcare facilities.

Challenge

Developing an AI-based diagnostic platform  involved navigating significant complexities and challenges:

  • Algorithm Complexity: Advanced algorithms were essential for precision analysis of ultrasonography images in real-time healthcare solutions
  • Processing Speed: Quick and accurate analysis through artificial intelligence and image processing while maintaining high performance across various injuries and conditions
  • Integration with Workflows: Seamless integration into existing healthcare workflows without disruption required a robust diagnostic platform
  • Consistency and Reliability: Ensuring consistent, reliable performance while maintaining speed and accuracy was crucial. 

Solution

Tata Elxsi developed a pocket-sized diagnostic adapter with an AI engine for musculoskeletal injury assessment  capable of connecting to healthcare diagnostic devices.

Key features included:

  • AI Engine Capabilities: Accurate, real-time ultrasound image analysis of achiliestendon using artificial intelligence and image processing, with low computational power
  • Mobile Phone Interface: User-friendly results of diagnosis displayed on mobile phones, enhancing portability.
  • Network Independence: Operates without internet connectivity, suitable for field conditions, ensuring reliable ultrasound analysis anywhere.

The system provided a five-point score for tendon injury assessment, quantifying cross-sectional area and percentage of the injured area with a 90% accuracy rate.

The AI-based system supported clinicians with data-driven insights, decreasing variability in clinical decisions by 70% . 

Healthcare professional analyzing an ultrasonography image for musculoskeletal injury assessment
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Impact

The AI-based diagnostic platform significantly advanced musculoskeletal injury assessment, achieving key highlights:

Accurate Injury Grading and Injury Analysis

  • Provided a five-point score for tendon injury assessment.
  • Quantified cross-sectional area and percentage of injured area with 90% accuracy rate.

Enhanced Recovery Tracking:

  • Improved prognosis and treatment plans.
  • Enabled precision tracking of injury progression.

Reduction of Subjectivity:

Supported clinicians with data-driven insights, decreasing variability by 70% and ensuring consistent and reliable assessments, efficiency in diagnosis and treatment planning.

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Services rendered

Tata Elxsi

  • Development of Advanced AI Algorithms
  • Enhancement of Processing Speed
  • Integration with Healthcare Workflows
  • Development of Adapter for Diagnosis
  • Mobile App Development
  • Ensuring Network Independence
  • Impact Measurement
  • Data-Driven Assessment

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