MGH Clinical Research Day 2017 Team Award Winner

Clinical Research Day is an annual celebration of clinical and translational investigators and their accomplishments over the past twelve months at the Massachusetts General Hospital (MGH). This year, among 340 abstract submissions reflecting the exciting work being conducted by clinical research teams here at MGH, “Deep Learning for Rapid, Accurate, Automated Detection & Characterization of Intracranial…

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“A Deep-Learning System for Fully-Automated Peripherally Inserted Central Catheter (PICC) Tip Detection” Published in Journal of Digital Imaging

“A Deep-Learning System for Fully-Automated Peripherally Inserted Central Catheter (PICC) Tip Detection” is now available to view at Springer Nature SharedIt.  Please follow the link below.                       Dear Author, Congratulations on publishing “A Deep-Learning System for Fully-Automated Peripherally Inserted Central Catheter (PICC) Tip Detection” in…

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AI Gives One-Stop Shopping for Urinary Stone Evaluation

http://www.auntminnie.com/index.aspx?sec=sup&sub=aic&pag=dis&ItemID=118413 AuntMinnie.com, 10/3/2017, Erik L. Ridley An artificial intelligence (AI) algorithm can accurately detect and classify urinary stones based solely on images from noncontrast single-energy CT scans, according to research presented at last week’s Society for Imaging Informatics in Medicine’s Conference on Machine Intelligence in Medical Imaging (C-MIMI) in Baltimore. In a proof-of-concept study, an…

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Bone Age Assessment with Artificial Intelligence

http://www.massgeneral.org/imaging/news/radiology-rounds/september-2017/bone-age-assessment-with-artificial-intelligence/ https://link.springer.com/article/10.1007/s10278-017-9955-8 Radiology Rounds, September 2017 – Volume 15, Issue 9, Gary Boas Bone age assessment is the evaluation of skeletal maturity. For decades, it was determined by examining the X-ray of a patient’s hand and wrist and matching it using an atlas of 200 images. Artificial intelligence (AI) is manifest when machines develop an…

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