Treatment of epidural tumours located in the spinal canal can be highly challenging, due to the risk of causing irreversible damage. To address this challenge, a medical team at Brigham and Women’s Hospital and Dana Farber Cancer Institute have performed a study showing that MRI-guided cryoablation is feasible for treating such epidural tumours.
Principal investigator Thomas Lee, MD demonstrates an active cryoprobe that had just been tested in water to ensure...
William M. Wells, III, PhD (Sandy), Professor of Radiology at Brigham and Women’s Hospital, has been awarded the 2018 Enduring Impact Award from The Medical Image Computing and Computer Assisted Intervention Society (The MICCAI Society). Among many other achievements, Dr. Wells is recognized for the STAPLE algorithm, Simultaneous Truth and Performance Level Estimation for the validation of image segmentation.
Frank Preiswerk, PhD of the Department of Radiology, earned the Second Best Abstract Award at the 2018 International Workshop on Osteoarthritis Imaging (IWOAI) for his work on detection of bone marrow lesion (BML) segmentation using deep learning, a subset of artificial intelligence and machine learning.
Preiswerk’s project examined whether an advanced computer algorithm could identify BML segmentation as accurately as experienced radiologists – ultimately finding that both methods were nearly equivalent. Preiswerk and his team noted that, given the time and resources...
Natalie Agar, PhD "Mass Spectrometry Imaging for Surgical Pathology and Oncology" and Andrey Fedorov, PhD "Data Standardization for Advancing the Role of AI in Radiology", gave talks in the “First Look” session at the World Medical Innovation Forum: Artificial Intelligence, in Boston, MA. Natalie Agar, MD, Alexandra Golby, MD and Bruno Madore, PhD are recipients of Partners Innovation Discovery Grant Awards.
Jayender Jagadeesan, PhD chaired a Oral Presentations Session at the International Symposium on Medical Robotics (ISMR) in Atlanta, GA. He also gave a semi-plenary lecture on “Precision-enabled Image-guided Surgery”.