On demand webinar: Medical Imaging AI: What the data tell us

Watch here. Despite the availability of a variety medical artificial intelligence products on the market, adoption into clinical practice has been slow. On February 23rd Dr Keith Dreyer, Chief Data Science Officer, Mass General Brigham and Dr Catherine Jones, Thoracic Radiologist and Chest Lead at Annalise.ai discussed the challenges of deploying artificial intelligence into a clinical setting and the development of a comprehensive medical ai tool.

Tuesday 23rd February | 12pm EST / 5pm GMT / 4am AEDT (24th Feb)

In partnership with Aunt Minnie. Watch the webinar on demand here.

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Presentation overviews

1 | The Role of AI in Medical Imaging in 2021: Opportunities and Challenges

Presented by Dr Keith Dreyer, Chief Data Science Officer, Mass General Brigham

Artificial Intelligence and Machine Learning provide the possibility of significantly enhancing how we practice radiology, now and in the future.  While the technology holds great promise, there are many challenges to its successful deployment in clinical practice.  Hundreds of algorithms have been cleared for use by the FDA, yet only a small minority of radiologists have deployed AI clinically.  In this lecture, we will explore feedback on the use of AI from thousands of radiologists in a recent survey conducted by the American College of Radiology Data Science Institute, uncovering many challenges that exist in medical imaging AI today.

Learning objectives
  1. Recognise potential obstacles in deployment of AI into clinical setting
  2. Identify specific challenges radiologists face using AI in medical imaging
  3. Understand the FDA’s regulatory process for clearing algorithms for use

2 | AI and the CXR – developing and validating comprehensive AI

Presented by Dr Catherine Jones, Thoracic Radiologist and Chest Lead, Annalise.ai

Rapid advances in artificial intelligence modelling have led to the development of new and exciting AI tools to assist radiologists. Developing a comprehensive chest X-ray diagnostic tool is a complex process, requiring consideration of clinical use cases, workflow integration and hidden stratification. Dr Catherine Jones discusses the process of developing and validating the most comprehensive chest X-ray diagnostic tool available.

Learning objectives
  1. To understand the commonly used terms relating to artificial intelligence in radiology.
  2. To gain a deeper insight into the development of AI for the interpretation of chest radiographs.
  3. To develop a greater understanding of the clinical use cases of chest radiograph AI.
Speakers biographies

Dr Catherine Jones | Thoracic Radiologist and Chest Lead | Annalise.ai

Prior to her surgical and radiological training in the UK, Dr Jones earned degrees in mathematics and physics, then medicine at the University of Queensland. After a cardiothoracic radiology fellowship in Vancouver, Canada she returned to Australia to begin private practice with the I-MED Radiology Network. Now, as cardiothoracic lead at I-MED, Dr Jones is an executive member of the Australian and New Zealand Society of Thoracic Radiology and sits on multiple committees at the Royal Australian and New Zealand College of Radiologists. Her research interests include occupational lung disease imaging, artificial intelligence validation and diagnostic accuracy studies.

Connect with Catherine.

Dr Keith J. Dreyer | Chief Data Science Officer, Mass General Brigham, Chief Imaging Information Officer, Mass General Brigham, Chief Executive, MGH & BWH Center for Clinical Data Science, Vice Chairman of Radiology – Informatics, Massachusetts General Hospital and Brigham and Women’s Hospital, Associate Professor of Radiology, Harvard Medical School, Chief Science Officer, ACR Data Science Institute

Keith J. Dreyer, DO, PhD, FACR, FSIIM, is Chief Data Science Officer and Chief Imaging Information Officer for Mass General Brigham. He also holds the positions of Vice Chairman of Radiology, Informatics, at Massachusetts General Hospital, Chief Executive for the MGH & BWH Center for Clinical Data Science, and Associate Professor of Radiology at Harvard Medical School. He is ABR board certified in diagnostic radiology with a BS in Mathematics, MS in Image Processing, PhD in Computer Science and medical fellowships in Imaging Informatics and Magnetic Resonance Imaging from Harvard University at MGH.  Dr. Dreyer is the Chief Science Officer for the American College of Radiology’s Data Science Institute and has held numerous board, chair, advisory, and committee positions with the American College of Radiology, Radiological Society of North America, Society of Imaging Informatics in Medicine and numerous global healthcare corporations. He has authored hundreds of scientific papers, presentations, chapters, articles and books; lecturing worldwide on artificial intelligence, clinical data science, cognitive computing, clinical decision support, clinical language understudying, digital imaging standards, and implications of technology on the quality of healthcare and payment reform initiatives.

Connect with Keith.

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