Apr 19, 2024
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Completed
AI-Enhanced Surgical Recording: Revolutionizing Medical Data Collection
$25,000+
more 1 year
United States
6-9
Service categories
Service Lines
Mobile Development
Domain focus
Healthcare
Challenge
Computational limitations: Due to server constraints, on-device processing was paramount to ensure seamless operation.
Video data collection: Precise object segmentation within the footage required the implementation of advanced algorithms and techniques.
Sound data collection: The accurate recognition of audio signals within video footage also posed a significant challenge.
Computational limitations: Due to server constraints, on-device processing was paramount to ensure seamless operation.
Video data collection: Precise object segmentation within the footage required the implementation of advanced algorithms and techniques.
Sound data collection: The accurate recognition of audio signals within video footage also posed a significant challenge.
Solution
Utilization of CoreML-compatible neural networks enabled sound recognition and object segmentation, while rigorous data collection, preprocessing, model training, and conversion ensured optimal performance on iOS devices.
Utilization of CoreML-compatible neural networks enabled sound recognition and object segmentation, while rigorous data collection, preprocessing, model training, and conversion ensured optimal performance on iOS devices.
Results
An iOS app integrates advanced AI technology into a comprehensive health tech platform, facilitating real-time surgical data capture.
We created a robust iOS app that accurately captures surgical procedures, enhancing data collection efficiency for medical analytics company clients.
An iOS app integrates advanced AI technology into a comprehensive health tech platform, facilitating real-time surgical data capture.
We created a robust iOS app that accurately captures surgical procedures, enhancing data collection efficiency for medical analytics company clients.