News Archives - Page 6 of 8 - Lab of Medical Imaging and Computation

2016 California Impact Challenge: Precision Medicine: (Runner-up)

Synho Do for AI Skin Surveillance Cam – A cloud-based, high performance skin cancer screening device leveraging an advanced AI algorithm that can instantly recognize the unique patterns of spots on the skin, making earlier skin cancer detection more accurate and affordable

Invited Talk : Asia Spine 2016

Invited Speaker for the Asia Spine 2016. It was held in Seoul, Korea on 22-24 September, 2016.

Bone Age Classification Study is covered at NVIDIA BLOG

Ask doctors and they’ll tell you: In children, there’s chronological age and there’s bone age. When the two don’t match, there’s a problem. Bones that mature too quickly or too slowly may impair a child’s growth. Radiologists measure bone age, or skeletal maturity, by comparing x-rays of children’s hands to the standard for their age….

SIIM 2016 Annual Meeting Preliminary Program

June 30, 2016 Dr. Synho Do presented machine learning at the SIIM 2016 Annual Meeting Preliminary Program.

GPU-Accelerated Radiological Knowledge Extraction System at MGH

April 05, 2016 Dr. Synho Do will present a novel GPU-accelerated knowledge extraction system as decision support for radiologists to help reduce human error and improve workflow efficiency.

2016 grant proposal “Applying Medical Image Deep Machine Learning to Decrease Rate of Missed Critical Findings in Radiology” accepted.

March 27, 2016 On behalf of the CRICO Board, the project entitled “Applying Medical Image Deep Machine Learning to Decrease Rate of Missed Critical Findings in Radiology” has been accepted for grant funding.

Hampton Symposium 2016: Frontiers in Imaging

March 24, 2016 The MGH Department of Radiology proudly presents the Hampton Symposium 2016: Frontiers in Imaging, an exciting CME program and Alumni Reunion held at MGH.

IEEE International Symposium on Biomedical Imaging 2016 : Reviewer

October 07, 2015

CADI = voice + EHR. In the wards, clinics, or operating room, talk to CADI and listen to what your EHR has to say.

May 09, 2015 CADI (Clinical Assist Decision Interface) gives voice to your EHR. CADI listens to you in natural language, reaches into the EHR, decision support system, paging directory, patient lists, knowledge database, and speaks up with the appropriate information. CADI is anywhere and everywhere in the hospital – it lives on your computer, smart phone,…

New Platform: Interaction with 3D Medical Data

May 04, 2015 Recent advances in virtual and augmented reality have enabled new forms of interaction with complex medical imaging data. Conventional interfaces restrict the physician to viewing projections of 3D data on a 2D medium, which always necessitates omission of some data.