Department of Radiology

2018 Webinar Artificial Intelligence. The voice of reason, and the science of reason.

2018 Webinar Artificial Intelligence. The voice of reason, and the science of reason.

  1. Saturday October 20, 2018

     

     

    1. AI Impact Analysis: What it Currently Means and What it Can Mean in the Future for Clinical Medicine.

      10:00 - 10:20

      Dr. Frank Rybicki

      Webinar

      At the end of this presentation, participants will be able to:

      • Discuss  financial considerations for medical AI, including the opportunities for innovative products that are applied to radiology images
      • Describe an example workflow for an AI method applied to lung cancer screening by computed tomography.
    2. Introduction to Medical AI

      10:20 - 10:40

      Dr. Dimitris Mitsouras

      Webinar

      At the end of this presentation, participants will be able to:

      • Identify the basic concepts and techniques underlying modern artificial intelligence technologies
      • Discuss strengths and limitations of current applications of machine learning algorithms in radiology
      • Interpret current results from radiology applications of machine learning.

       

    3. Reality Check on AI Tools

      10:40 - 11:00

      Dr Jaron Chong

      Webinar

      At the end of this presentation, participants will be able to: 

      • Describe the strengths and limitations of AI to clinical radiology applications
      • Review current common tools and strategies for local AI development 
      • Critique the current paradigms for the development and validation of algorithms
      • Propose an idealized AI algorithm development workflow
    4. How AI might work in the future (in a clinical setting)- examples in the Thorax

      11:00 - 11:20

      Dr. Kam Kafi

      Webinar

      At the end of this presentation, participants will be able to:

      • Identify potential applications of AI in thoracic imaging workflows
      • Describe the process of cohort identification and data preparation requirements for application of AI techniques
      • Apply AI and “-omics” techniques using these data to different use cases in thoracic imaging workflows  
    5. How AI works today (in the research setting)- An Example in Chest X-Ray

      11:20 - 11:40

      Dr. Leonid Chepelev

      Webinar

      At the end of this presentation, participants will be able to:

      • Identify  potential applications of AI in thoracic imaging workflows
      • Describe the process of cohort identification and data preparation requirements for application of AI techniques
      • Apply AI and “-omics” techniques using these data to different use cases in thoracic imaging workflows  

       

    6. Q & A

      11:40 - 12:00

      Webinar

    7. The Impact of AI Outside the Healthcare Sector

      15:00 - 15:20

      Nicholas Chapados

      Webinar

      At the end of this presentation participants will be able to: 

      • Describe the impact of AI in terms of supply and demand
      • Summarize recent progress in some key subfields of AI, including vision, natural language processing and reinforcement learning
      • Describe applications in fields like document processing, financial services, the automotive sector, and classify these applications in terms of their enabling core technologies
      • Summarize the new governance framework that AI requires of organizations

       

    8. Overview of AI Industries

      15:20 - 15:40

      Dr. An Tang

      Webinar

      At the end of this presentation, participants will be able to: 

      • Describe the current landscape of AI platforms and software in radiology.
      • Identify hardware and software requirements to run software.
      • Discuss use cases of AI software in the clinical workflow.
    9. Radiomics: The process- from hypothesis, to evidence and validation

      15:40 - 16:00

      Dr. Rebecca Thornhill

      Webinar

      At the end of this lecture, participants will be able to:

      • Identify how conventional (natural language) descriptors can be expressed using objective, quantitative features
      • Develop models that are appropriate for both the size and characteristics of the imaging data set(s) available
    10. Considerations in the Assessment and Implementation of AI-based Clinical Solutions

      16:00 - 16:20

      Dr. Leonid Chepelev

      Webinar

      At the end of this presentation, participants will be able to: 

      • Describe major challenges of implementing AI-based medical imaging software in the clinical setting
      • Identify some of the necessary steps in ensuring adequate implementation of AI-based software
      • Identify key organizations governing the practical implementation of AI-based software
    11. AI as a Career in Academic Medicine and Medical Industry

      16:20 - 16:40

      Dr. Kam Kafi

      Webinar

      At the end of this presentation, participants will be able to: 

      • Identify career pathways leading to academic and industry positions in healthcare AI
      • Identify they key elements of a training curriculum that can serve as a springboard to an academic and industry career in healthcare AI 
      • Describe how candidates are assessed for academic and industry positions in healthcare AI
    12. Q & A and Adjourment

      16:40 - 17:00

      Webinar