TY  - GEN
N2  - SIGN Fracture Care International partners with surgeons in low-resource hospitals worldwide to provide access to effective orthopedic care. SIGN reaches across 52 countries and interacts with over 5,000 surgeons, but expanding their care has led to an overwhelming amount of medical data; SIGN's Online Surgical Database (SOSD) contains over 500,000 images spanning two decades and is continuing to grow. We apply machine learning tools to the SOSD to improve the throughput of radiograph analysis to assist SIGN in further expanding their reach and effectively helping surgeons and patients.
DO  - 10.6083/bpxhc42289
DO  - doi
AB  - SIGN Fracture Care International partners with surgeons in low-resource hospitals worldwide to provide access to effective orthopedic care. SIGN reaches across 52 countries and interacts with over 5,000 surgeons, but expanding their care has led to an overwhelming amount of medical data; SIGN's Online Surgical Database (SOSD) contains over 500,000 images spanning two decades and is continuing to grow. We apply machine learning tools to the SOSD to improve the throughput of radiograph analysis to assist SIGN in further expanding their reach and effectively helping surgeons and patients.
AD  - Pacific Northwest National Laboratory
AD  - Pacific Northwest National Laboratory
AD  - Pacific Northwest National Laboratory
AD  - Pacific Northwest National Laboratory
AD  - Pacific Northwest National Laboratory
AD  - Pacific Northwest National Laboratory
AD  - Pacific Northwest National Laboratory
AD  - Pacific Northwest National Laboratory
T1  - Improving x-ray analysis throughput using object detection
DA  - 2020
AU  - Pope, Jenna
AU  - Sivaraman, Chitra
AU  - Ramirez, Edgar F.
AU  - Brandi-Lozano, Juan
AU  - Short, Joshua
AU  - Lewis, Isaac D.
AU  - Barnes, Brian D.
AU  - Zirkle, Lewis G.
L1  - https://digitalcollections.ohsu.edu/record/42289/files/ResearchWeek.2020.Pope.Jenna_Presentation.pdf
PB  - Oregon Health and Science University
LA  - eng
PY  - 2020
ID  - 42289
L4  - https://digitalcollections.ohsu.edu/record/42289/files/ResearchWeek.2020.Pope.Jenna_Presentation.pdf
KW  - Orthopedics
KW  - Machine Learning
KW  - Deep Learning
KW  - Fractures, Bone
KW  - Artificial Intelligence
KW  - Radiography
KW  - Orthopedics
KW  - Deep Learning
KW  - surgery
KW  - object detection
KW  - databases
KW  - statistical learning
TI  - Improving x-ray analysis throughput using object detection
Y1  - 2020
L2  - https://digitalcollections.ohsu.edu/record/42289/files/ResearchWeek.2020.Pope.Jenna_Presentation.pdf
LK  - https://digitalcollections.ohsu.edu/record/42289/files/ResearchWeek.2020.Pope.Jenna_Presentation.pdf
UR  - https://digitalcollections.ohsu.edu/record/42289/files/ResearchWeek.2020.Pope.Jenna_Presentation.pdf
ER  -