News | Orthopedic Imaging | March 19, 2018

Bone Age AI Algorithm Offered Free for Research Use on EnvoyAI Platform

Winning algorithm in RSNA17 AI Bone Age Challenge correctly correlates skeletal maturation with chronological age in pediatric hand radiographs

Bone Age AI Algorithm Offered Free for Research Use on EnvoyAI Platform

March 19, 2018 — Artificial intelligence (AI) platform provider EnvoyAI recently announced a new partnership with 16 Bit, the winner of the Radiological Society of North America’s (RSNA) Bone Age Algorithm Challenge. EnvoyAI’s platform launched in November 2017 with 14 partners and 35 algorithms.

The EnvoyAI Exchange continues to grow, adding new premium partners and algorithms with a current total of 19 partners and 46 algorithms. 16 Bit is Toronto-based and was founded by two radiologists focused on providing practical applications of advanced AI technology to solve the most pressing diagnostic imaging problems in today’s clinical environment.

Pediatric populations frequently require correlation between skeletal maturation and chronological age. A radiograph of the left hand is typically used and patients are categorized based on comparison of bony structures to reference standards. Bone age algorithms automate this comparison process and deliver assistive results to radiologists, expediting time to diagnosis. The application of artificial intelligence using the bone age use case was a major focus of the RSNA annual meeting, where 16 Bit took center stage with their algorithm providing a mean absolute difference (MAD) of 4.265 months on the competition’s test set which used an average of three pediatric radiologist interpretations and the final report as the gold-standard. Individual radiologists differed, on average, by 7.32 months from this gold-standard. These results highlight the tremendous potential for machines to assist physicians in providing more reliable care.

16 Bit’s bone age algorithm is now available through the EnvoyAI developer portal, meaning that, upon request, anyone can test the algorithm for free against their own clinical data by uploading a DICOM file. The algorithm will be made available free for research use to EnvoyAI pilot sites, which will allow for fast implementation via the EnvoyAI platform.

The 16 Bit algorithm was demonstrated at the 2018 Healthcare Information and Management Systems Society (HIMSS) annual meeting, March 5-9 in Las Vegas. EnvoyAI was an exhibitor at HIMSS, located in the booth of distribution partner TeraRecon.

For more information: www.envoyai.com

 

Related Content

FDA Clears Siemens Healthineers' Multix Impact Digital X-ray System
Technology | Digital Radiography (DR) | January 21, 2019
The U.S. Food and Drug Administration (FDA) has cleared the Multix Impact, an affordably priced, floor-mounted digital...
Novel Technique May Significantly Reduce Breast Biopsies
News | Breast Biopsy Systems | January 17, 2019
A novel technique that uses mammography to determine the biological tissue composition of a tumor could help reduce...
Artificial Intelligence Used in Clinical Practice to Measure Breast Density
News | Artificial Intelligence | January 15, 2019
An artificial intelligence (AI) algorithm measures breast density at the level of an experienced mammographer,...
Sponsored Content | Videos | Artificial Intelligence | January 15, 2019
ITN Contributing Editor Greg Freiherr offers an overview of...
Machine Learning Uncovers New Insights Into Human Brain Through fMRI
News | Neuro Imaging | January 11, 2019
An interdisciplinary research team led by scientists from the National University of Singapore (NUS) has successfully...
Videos | Interventional Radiology | January 11, 2019
Julius Chapiro, M.D., research faculty member and an...
AI Approach Outperformed Human Experts in Identifying Cervical Precancer
News | Digital Pathology | January 10, 2019
January 10, 2019 — A research team led by investigators from the National Institutes of Health and Global Good has de
Artificial intelligence, also called deep learning and machine learning, was the hottest topic at the 2018 Radiological Society of North America (RSNA)) meeting.

Artificial intelligence was the hottest topic at the 2018 Radiological Society of North America (RSNA)) meeting, which included a large area with its own presentation therater set asside for AI vendors.

Feature | Artificial Intelligence | January 10, 2019 | Dave Fornell, Editor
Hands down, the hottest topic in radiology the past two years has been the implementation of...
Sponsored Content | Videos | Digital Radiography (DR) | January 10, 2019
ITN Contributing Editor Greg Freiherr discusses how advances in digital technology are giving new meaning to the term...
Shimadzu Medical Systems USA Acquires Core Medical Imaging
News | Digital Radiography (DR) | January 08, 2019
Shimadzu Medical Systems USA has acquired Core Medical Imaging Inc. (CMI) in order to further expand its healthcare...