Current state of computer navigation and robotics in unicompartmental and total knee arthroplasty: a systematic review with meta-analysis

Abstract Recently, there is a growing interest in surgical variables that are intraoperatively controlled by orthopaedic surgeons, including lower leg alignment, component positioning and soft tissues balancing. Since more tight control over these factors is associated with improved outcomes of unicompartmental knee arthroplasty and total…

Cloud–based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks

Abstract—Variations in the shape and appearance of anatomical structures in medical images are often relevant radiological signs of disease. Automatic tools can help automate parts of this manual process. A cloud–based evaluation framework is presented in this paper including results of benchmarking current state–of–the–art medical…

A new method for the automatic retrieval of medical cases based on the RadLex ontology

Abstract Purpose The goal of medical case-based image retrieval (M-CBIR) is to assist radiologists in the clinical decision making process by finding medical cases in large archives that most resemble a given case. Cases are described by radiology reports comprised of radiological images and…

Computer Aided Orthopaedic Surgery: incremental shift or paradigm change?

Computer Aided Orthopaedic Surgery (CAOS) is now about 25 years old. Unlike Neurosurgery, Computer Aided Surgery has not become the standard of care in Orthopaedic Surgery. In this paper, we provide the technical and clinical context raised by this observation…

Accuracy of computer-aided techniques in orthopaedic surgery: how can it be defined, measured experimentally, and analyzed from a clinical perspective

Surgical accuracy is multifactorial – it is therefore crucial to take into account all influencing factors when investigating the accuracy of a surgical gesture, such as the surgeon’s experience, local difficulties associated with the specific anatomical site and the assistive technologies that may…

Automatic liver tumor segmentation in follow-up CT studies using Convolutional Neural Networks

Abstract We present a new, fully automatic algorithm for liver tumors seg-mentation in follow-up CT studies. The inputs are a baseline CT scan and a de-lineation of the tumors in it and a follow-up scan; the outputs are the tumors…

Tumor burden evaluation in NF1 patients with plexiform neurofibromas in daily clinical practice

Abstract Background Existing volumetric measurements of plexiform neurofibromas (PNs) are time consuming and error prone, as they require delineation of PN boundaries, a procedure that is not practical in the typical clinical setting. The aim of this study is to…

Haptic computer-assisted patient-specific preoperative planning for orthopedic fractures surgery

Abstract Purpose The aim of orthopedic trauma surgery is to restore the anatomy and function of displaced bone fragments to support osteosynthesis. For complex cases, including pelvic bone and multi-fragment femoral neck and distal radius fractures, preoperative planning with a…

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