An application for Wound Detection and Wound Measurement. Version 2 of the WoundCorder.
WoundCorder: AI-Powered Wound Monitoring App
Title: WoundCorder: LiDAR-Based 3D Wound Volume Measurement with LLM Analysis Problem: Can WoundCorder utilize LiDAR built-in algorithms and incorporate a large language model (LLM) to measure wound volume in 3D and provide quick wound analysis?
Objective
The goal of this project is to develop and validate WoundCorder, a LiDAR-based smartphone app that accurately measures wound volume in 3D and integrates LLM-based wound analysis. This could improve clinical wound documentation and decision-making.
- Current Plans
Improve UX from WoundCorder V1
Improve accuracy from WoundCorder V1
Refine GPT: Used for wound detection and prescription
Improve data security
References
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Plos One. Evaluation of wound measurement techniques.
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BMC Bioinformatics. Open-source wound analysis software.
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ScienceDirect. Wound measurement accuracy in clinical practice.
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Aranz Medical. Importance of accuracy in wound measurement.
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PR Newswire. WoundTech funding and technology overview.
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WoundCareWeekly. AI in wound assessment.