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Our Mission

RAIL is an open structured artificial intelligence focused research collaboration based in the Russell H. Morgan Department of Radiology and Radiological Science at Johns Hopkins University School of Medicine, with support from the Johns Hopkins Malone Center for Engineering in Healthcare.

. The group is comprised of physicians and scientists from Johns Hopkins Hospital, the Whiting School of Engineering, and the Applied Physics Laboratory, leveraging subject matter expertise of clinical imaging domains and computer vision.  RAIL aims to be a:

  • 1) a Hopkins wide resource and touchstone for data science collaboration, particularly in image processing and analysis

  • 2) an international leader in research, development, and commercialization of information technology related to artificial intelligence in imaging informatics.

Our Team

Research & Collaboration

RAIL’s research focus is in the development and validation of machine learning applications for medical image classification and analysis.

Learn about Rail Research

Latest News

Keep up on the latest RAIL news.
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Sequential Learning in Azure ML Collaboration with Microsoft

Dr Craig Jones, Assistant Research Professor in Computer Science (Co-Directory of the Radiology AI Lab) along with Dr Haris Sair (Directory of Neuroradiology) have an exciting new collaboration with Health AI, Microsoft.  Dr Jones along [...]

Quantifying Uncertainty in Neural Network Segmentation

Dr Jones and Sair, along with Collaborators in the School of Public Health and the Division of Neuroradiology have designed a method to quantify two types of uncertainty, aleatoric and epistemic, directly from a neural [...]

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