Imaging Systems for Aesthetics and Dermatology. Works in the field of aesthetics and early skin cancer detection, using imaging procedures. Business focus is on the development, image management, archiving, and sale of systems for digital aesthetics, dermatoscopy, and body mapping procedures. We are developing a cloud based solution to integrate new features into the desktop-based medical imaging (SAAS) platform. The application is presently designed to view images and analyse them thereby aiding in the detection of a wide array of dermatological pathologies. Desktop based application is getting migrated to a cloud-based architecture to provide uniform access from various platforms like Macintosh, Microsoft, iPad, and mobile devices. We also utilize our AI-ML skills in improving image analysis, interoperability, reliance on non-cloud apps, integration of various in-house hardware devices, etc. all factors that will be accommodated while optimizing overall application performance.
The application identifies wound size, shape, area and volume using artificial intelligence (AI) to measure wound circumference, type and progress. It is a platform that allows multiple care facilities to manage wound healing progress rate and wound treatment supplies.
The HIPAA compliant mobile app provides access to real-time wound status and the information is stored for further review from care team. The application provides visual evidence of wound progress and identifies at-risk residents for early intervention.
It also streamlines decision making process and collaboration within care team and is designed for efficient management of wound care supplies.
The intent of the application is to create SOAP notes for the patient history by using chatGPT and RAG with private knowledge base. The propriatory extension parses patient history from the patient management website and sends it to the backend API. The backend API receives the patient history and returns the generated SOAP notes to the client extension.
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