Home /
Usecases /
Maria Fareri Children's Hospital deploys a diagnosis platform using NLP and algorithmic search to assist physicians with difficulty to diagnose symptoms
janhavi
Jan. 19, 2019
Summary:
A diagnostic assistant platform called Isabel uses natural language processing and machine learning to offer possible diagnoses for physicians. Symptoms are entered into Isabel as text and the system's algorithms search through its medical database to offer likeliness of different diagnostic predictions, with claimed 95% accuracy.
Problem:
Often times rarer diseases are misdiagnosed as more common ones and can have severe consequences. The idea behind Isabel was to offer all diagnostic possibilities and started out as a database, eventually evolving to using AI to streamline predictions and natural language processing.
- Industry
- Healthcare
- Function
- Information Technology
- Company Name
- Maria Fareri Children’s Hospital
- Vendors
- HEALTHCARE ISABEL
- AI Technologies
- Link to usecase
- link