OBJECTIVES: With the transition to a value-based model of care delivery, bundled payment models have been implemented with demonstrated success in elective lower extremity joint arthroplasty. Yet, hip fracture outcomes are dependent on patient-level ...
OBJECTIVE: To compare performances in diagnosing intertrochanteric hip fractures from proximal femoral radiographs between a convolutional neural network and orthopedic surgeons.
BMC medical informatics and decision making
Jan 7, 2019
BACKGROUND: Automatic clinical text classification is a natural language processing (NLP) technology that unlocks information embedded in clinical narratives. Machine learning approaches have been shown to be effective for clinical text classificatio...
Journal of X-ray science and technology
Jan 1, 2019
BACKGROUND: Hip fracture is considered one of the salient disability factors across the global population. People with hip fractures are prone to become permanently disabled or die from complications. Although currently the premier determiner, bone m...
Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery
Sep 15, 2017
OBJECTIVE: To discuss the effectiveness of intramedullary nail fixation with selective cable wiring in the treatment of ipsilateral femoral neck fracture and subtrochanteric fracture.
Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences
Apr 18, 2017
OBJECTIVE: To evaluate the security and efficiency of a surgical robotic assisted percutaneous screw fixation for the treatment of pelvic and acetabular fractures.
Apply machine learning principles to predict hip fractures and estimate predictor importance in Dual-energy X-ray absorptiometry (DXA)-scanned men and women. Dual-energy X-ray absorptiometry data from two Danish regions between 1996 and 2006 were com...