The goal of this project was to develop a Deep Learning powered solution detecting a disease on medical X-ray images. The model I have developed achieved AUC of 0.98. The solution is part of a bigger system which is developed to assist medical doctors in their daily work.
The goal of this project was to develop an AI backend engine for an intelligent decision support system which asses an ischemic stroke risk. The system was developed in collaboration with a health insurer to allow preventive interventions for patients with high risk of a stroke.
The goal of this project was to develop a rules-based decision support system. The solution was assisting medical doctors to make fast decision about blood transfusion. The project was conducted in collaboration with medical doctors as domain experts.
The goal of this project was to develop an AI-backed decision support system helping medical doctors to decide about blood transfusion. In collaboration with multiple hospitals we collected historical data about blood transfusions, patients, and medical tests relevant to blood transfusion.
SolarData is a platform allowing to simulate the amount of energy produced by a photovoltaic energy system in a specified geographic location weather data and parameters of the photovoltaic system like number and type of solar panels, angle of the installation, etc.
The goal of this project was to develop an AI backend for a frequently asked questions chatbot. A client had collected significant amount of questions and answers that were used to train machine learning natural language processing models.