Research

Machine learning for identifying patients at risk of CKD

Conversational agent for general physicians as a tool for their everyday practice to offer validated responses to clinical queries associated with Alzheimer’s Disease based on the...

External validation of a machine learning model for early detection of chronic kidney disease in type 2 diabetes patients across low- and middle-income countries, demonstrating...

Conversational AI tool for answering clinical questions in real time using web-based evidence. It reduced response time by 79% and searches per question by 34% in a preliminary...

The application of Large Language Models (LLMs) to create conversational agents (CAs) that can aid health professionals in their daily practice is increasingly popular, mainly due...

Extracts clinical data from unstructured medical notes, validated on real and synthetic EHRs with over 90% semantic accuracy.

AI model to extract data and use it with risk calculators and prediction models for clinical recommendations

A new tool for OCT interpretation was able to detect macular edema secondary to retinal pathology with high accuracy