News | Artificial Intelligence | August 10, 2017

Participants will design algorithms to assess bone age from pediatric radiographs; results will be presented at RSNA 2017 annual meeting

RSNA Announces Pediatric Bone Age Machine Learning Challenge

August 10, 2017 — The Radiological Society of North America (RSNA) is organizing a challenge intended to show the application of machine learning and artificial intelligence on medical imaging and the ways in which these emerging tools and methodologies may improve diagnostic care.

The RSNA Pediatric Bone Age Machine Learning Challenge addresses a familiar image analysis activity for pediatric radiologists: assessment of bone age from hand radiographs of pediatric patients used to evaluate growth and diagnose developmental disorders. The Challenge uses a dataset of hand radiographs provided by a consortium of leading research institutions — Stanford University, the University of California, Los Angeles and the University of Colorado — that have associated bone age assessments provided by multiple expert observers.

Participants in the challenge will be judged by how well the bone age evaluations produced by their algorithms accord with the expert observers’ evaluations. Participants will have the opportunity to directly compare their algorithms in a structured way using this carefully curated dataset. The RSNA Machine Learning Challenge organizing committee will select a small group of the most successful entries for recognition at the RSNA annual meeting, Nov. 26-Dec. 1 in Chicago. Recognition of Challenge participants will be part of a broad range of educational events and exhibits focusing on machine learning at the RSNA annual meeting. 

 The milestone activities scheduled for the Challenge include:

  • Training data phase: Aug. 1-30
  • Leader board phase: Sept. 1-Oct. 7
  • Submission of results: Oct. 7-15
  • Review and confirmation of results: Oct. 15
  • Notification of awardees: Oct. 15
  • Public announcement of results: Monday, Nov. 27 at the RSNA 2017 annual meeting

At the challenge site, prospective participants may review the terms and conditions, evaluation criteria and other details of participation as well as, register to participate and download the training dataset to begin the Challenge.

The Challenge is hosted on the MedICI platform (built by CodaLab) provided by Jayashree Kalpathy-Cramer, Ph.D., and Massachusetts General Hospital, supported through NIH grants and a contract from Leidos.

For more information: www.rsnachallenges.cloudapp.net


Related Content

Videos | Information Technology

A discussion on macro trends and the future of medical imaging with Jef Williams, managing partner, Paragon Consulting ...

Time February 07, 2023
arrow
News | Radiation Therapy

February 2, 2023 — DenseBreast-info.org (DBI) announced the results of the study, “Effect of an Educational Intervention ...

Time February 02, 2023
arrow
News | Radiation Therapy

February 1, 2023 — Radiotherapy is a crucial component of cancer treatment, used to shrink or destroy tumors with high ...

Time February 01, 2023
arrow
Feature | Radiology Business | By Melinda Taschetta-Millane

Here is a recap of what ITN viewers found most interesting during the month of January: 1. A Look at the Changes in 2023 ...

Time February 01, 2023
arrow
Webinar | Information Technology

Postpandemic staffing shortages and increased volumes require radiologists to do more with less, exacerbating burnout ...

Time January 30, 2023
arrow
News | Digital Pathology

January 27, 2023 — Fujifilm has completed its asset purchase of Inspirata, Inc.’s digital pathology business effective ...

Time January 27, 2023
arrow
Videos | PACS

Konica Minolta Healthcare recently announced it is working with Amazon Web Services to offer its cloud-based Exa ...

Time January 27, 2023
arrow
News | Artificial Intelligence

January 26, 2023 — MedCognetics, Inc., an Artificial Intelligence (AI) software firm, announced that it has been awarded ...

Time January 26, 2023
arrow
News | Artificial Intelligence

Artificial intelligence (AI) is playing a growing role in all our lives and has shown promise in addressing some of the ...

Time January 26, 2023
arrow
News | Digital Pathology

January 25, 2023 — mTuitive, Inc. and PathPresenter Corporation announced a new partnership to deliver an enhanced ...

Time January 25, 2023
arrow
Subscribe Now