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Consulting Case Study

AI Technology Due Diligence for Acquisition

Problem Statement:  Several components of heart sounds carrying clinical  importance fall beyond human audible range. Make algorithms to detect these faint sounds from a stethoscope signal for primary care clinical decision support.​

Client: Established MedTech Company, USA

Industry Segment: Healthcare

Requirement: Evaluate the AI technology powering a surgical-aid tool developed by an acquisition target. Identify technical strengths and weaknesses.

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Previous 

Plant Yield Optimization

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Outcome: Exhaustive technology evaluation report, produced in time with sufficient depth and breadth that empowered the client to make an informed decision about the acquisition.

Tech Stack Used: Semantic Segmentation, 3D Object Tracking, Image Registration

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AI Audit and Roadmap

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