MiDATA - Data Science Program

Director, Data Science - Dr. Pascal TyrrellPascal_RSNA1.jpg

What to Do With All of MiDATA? The Department of Medical Imaging’s Data Science Unit.

Bridging the gap between clinical expertise and the science of managing and analyzing medical imaging data is challenging. To provide direction for data management as well as the analysis and reporting of research findings, we have introduced a data science unit – MiDATA – offering users an environment geared towards a “soup to nuts” approach to medical imaging research methodology, statistics, and machine learning. The Department of Medical Imaging of the University of Toronto is one of the largest in North America with faculty, residents and fellows based at nationally and internationally renowned hospitals conducting cutting edge clinical research in the greater Toronto area. The challenge of any successful research and educational program is bridging the “know-do” gap. The goal of MiDATA is to facilitate impactful research through the efficient and creative use of a mentored learning environment.

Our program consists of three aspects: research education and mentorship, research project oversight, knowledge translation.

The three main areas of focus are:

  1. statistics for medical research.
  2. statistics for medical image feature analysis 
  3. machine learning for medical imaging research 

Upcoming Courses

AI in Medicine

Wednesday, May 11, 2022 running alternate Wednesdays for 6 weeks. Discussion sessions will run from 6.00pm – 7.30pm

“Artificial Intelligence (AI) is a rapidly developing field and has been revolutionizing the medical field to benefit medicine. This course uses recent literature, papers, and examples to look at the applications of AI tools to see how they can directly assist patients and medical professionals. This 0.25 FCE course is primarily for Faculty and students in a MSc, PhD, or residency/ fellowship program that would like to gain insight into the emerging field. Some topics discussed include challenges in the medical field and how AI can help, applications of AI/ML, and future of AI in medicine.”
Register Here

Biostatistics in a Nutshell

Wednesday, May 4th, 2022 running alternate Wednesdays for 6 weeks. Discussion sessions will run from 6.00pm – 7.30pm

“Introduction to statistics for medicine (biostatistics). This 0.25 FCE short course is primarily for Faculty and students in a MSc, PhD, or residency/ fellowship program that has a requirement of data analysis. Students learn about important fundamental statistical principles by studying the analysis of real data.”
Register Here

MiStats+ML

MiDATA Resources

 

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