In this Proof of Concept (POC)/pilot project engagement we will translate the clinical challenge/problem at hand into an ML objective and construct an AI/ML model using sample data.
"Artificial intelligence (AI)” is a “catch-all” term used to describe intelligent tech built using machine learning (ML), deep learning (DL), computer vision (CV), natural language processing (NLP), advanced analytics, data science, etc.
YOU are an innovative healthcare organization sitting on digitized clinical data and looking to reduce errors, cut down waste, and improve patient outcomes through AI and ML, this POC service is right for you. Along with our technical know-how, we bring our domain expertise in working with caregivers and healthcare researchers for translating clinical problems/opportunities into machine learning applications. Our goal is to accelerate your ability to build and deploy the next generation of clinical decisioning tools that can augment the caregivers from any specialty.
In this POC engagement, we will translate the clinical challenge/problem at hand into an ML objective, standup an Azure ML Platform, and construct an AI/ML model using Azure AutoML or Azure Cognitive Toolkit based on client requirements.
During this engagement we will work with the client to achieve the following objectives: