CAMBRIDGE, Mass., Feb. 16, 2018 -- Artificial intelligence platform provider EnvoyAI (www.envoyai.com) today announced a new partnership with 16 Bit (www.16bit.ai), 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 artificial intelligence 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.
Steven Rothenberg, MD, Chief Medical Officer of EnvoyAI stated, “EnvoyAI is committed to delivering the best algorithms available directly to clinicians. We are excited to offer 16 Bit’s bone age algorithm on the EnvoyAI Exchange to foster ever-increasing reproducibility of research and commercialization of artificial intelligence through prospective validation.” In addition, Dr. Mark Cicero, 16 Bit’s Chief Operating Officer shared, “The performance and momentum of our bone age algorithm at RSNA was a clear indication that the clinical environment is ready to take the next step with implementing AI. 16 Bit elected to partner with EnvoyAI and join the platform to gain fair, broad, and fast access to a wide market of ready consumers.”
See the 16 Bit algorithm demonstrated and join EnvoyAI at the Healthcare Information & Management Systems Society (HIMSS) annual meeting in Las Vegas, Nevada March 5th- 9th, 2018. EnvoyAI will be located at distribution partner TeraRecon’s booth #3900. Online demonstrations are also available by contacting EnvoyAI at firstname.lastname@example.org or TeraRecon at email@example.com.
About EnvoyAI (www.envoyai.com) EnvoyAI facilitates the streamlined distribution and hospital implementation of trained machine learning algorithms via a vendor neutral distribution platform. EnvoyAI provides a developer platform, integrations, and an open API for algorithm developers, technology partners, and end users. EnvoyAI assists research institutions and emerging AI companies in the translation and commercialization processes, starting with rapid deployment via a scalable, secure, cloud-based infrastructure with the ability to add local components to facilitate on-site deployments as well. EnvoyAI also works with distribution partners to make algorithms on the platform available to a very wide footprint of hospitals and, ultimately, to physicians.
About 16 Bit Inc. (www.16bit.ai) 16 Bit is an AI-first company located in Toronto, Canada that designs, trains, and rigorously validates intelligent medical image analysis systems that enable radiologists and physicians to diagnose patients more accurately, faster, and at lower cost. Partnered with some of the world’s most prestigious institutions and founded by radiologists with technical backgrounds in engineering and computer science, 16 Bit blends these domains to craft the most advanced diagnostic algorithms for medical imaging. As a testament to this, 16 Bit developed FiSys, a state-of-the-art pediatric bone age prediction algorithm which won first place in the 2017 RSNA Machine Learning Challenge with a mean absolute difference of 4.265 months. Currently in the development pipeline is their next-generation computer-aided mammography system and neurological emergency detection system.