Group Members

Research Focus

 

The mission of the AI in Medicine group is to develop and find effective computational techniques for the analysis of biomedical data. The group focuses on pursuing research, including:

 

  • Development of AI algorithms for image interpretation.
  • Literature reviewing to finding effective techniques to improve patient care and health care services.

 

We have a particularly strong interest in the application of computing technology to improve the diagnosis and stratification of patients and the management of patients with different diseases.

 

Projects

 

Prediction of fibrotic tissue in hypertrophic cardiomyopathy using machine learning in cardiovascular Magnetic Resonance Imaging (MRI)

 

Our aim is to apply machine learning in hypertrophic cardiomyopathy MRI to assist in improving the prediction of progressive fibrosis in mice. Machine learning-based methods may allow us to automatically predict the severity of diseased tissue in hypertrophic cardiomyopathy using MR images. Our research also includes developing algorithms to improve image quality and assist in disease diagnoses.

 

Artificial Intelligence In Medicine

Alankrita Tewari, 

Research Assistant

Bachelor of Technology Electronics and Telecommunication Engineering, KIIT University, India

alankrita.t@camcid.org

 

Danilo Tetesi, MSc.

Research Assistant

Master in Cognitive Neuroscience, University La Sapienza, Italy

danilo.t@camcid.org

 

Ashwitha Devasya, MSc.

Research Assistant

M. Sc. Advanced Computer Science with Big Data, University of Strathclyde, UK

ashwitha.d@camcid.org

 

Research Coordinator

Hillary Dixon

hillary@camcid.org