Andrew Brown

I am a Clinical Fellow at the University Health Network (UHN), University of Toronto. My areas of clinical medicine are medical imaging and interventional radiology. My areas of research interest are the application of machine learning in radiology and business analytics in healthcare. My recent work has focused on applying machine learning to quality and safety challenges in medical imaging. I completed my MBA at MIT with a focus on on data science and healthcare management. I received my MD from the University of Toronto and my BSc in Biochemistry and Biomedical Sciences from McMaster University.

Contact: LinkedIn Twitter



News

  • (Mar 2019) Presented work on "Machine learning techniques to translate follow-up imaging post RFA and TACE for HCC: Towards greater shared decision making in IR clinic" at the Society of Interventional Radiology 44th Annual Scientific Meeting.
  • (Mar 2019) Our work paper "Natural Language Processing of Radiology Reports in Patients With Hepatocellular Carcinoma to Predict Radiology Resource Utilization" was published in Journal of the American College of Radiology.
  • (Nov 2018) Our work paper " Minimally Invasive Treatment for Benign Prostatic Hyperplasia: Economic Evaluation from a Standardized Hospital Case Costing System" was published in Cardiovascular and Interventional Radiology.
  • (Oct 2017) Our work paper "Using machine learning for sequence-level automated MRI protocol selection in neuroradiology" was published in Journal of the American Medical Informatics Association.
  • (Apr 2017) Presented work on Automating Medical Imaging Protocol Selection and Machine Learning Based Image Quality Analysis at Canadian Association of Radiologists the 80th Annual Scientific Meeting. Awarded a Radiologist-in-Training Award.
  • (Apr 2017) Case report "Successful balloon assisted percutaneous thrombin injection of right subclavian artery pseudoaneurysm" was published online in the Journal of Vascular Access.
  • (Feb 2017) Our work paper "A Natural Language Processing-based Model to Automate MRI Brain Protocol Selection and Prioritization" was published in Academic Radiology.