Results 31 to 40 of about 108,248 (272)
Prospects for Theranostics in Neurosurgical Imaging: Empowering Confocal Laser Endomicroscopy Diagnostics via Deep Learning [PDF]
, 2018 Confocal laser endomicroscopy (CLE) is an advanced optical fluorescence imaging technology that has the potential to increase intraoperative precision, extend resection, and tailor surgery for malignant invasive brain tumors because of its subcellular ...
Evgenii Belykh +8 more
core +2 more sources
Frequency based assessment of surgical activities
Current Directions in Biomedical Engineering, 2015 In hospitals the duration of surgeries plays a decisive role in many areas, such as patient safety or financial aspects. By utilizing accurate automated online prediction efficient surgical patient care and effective resource management can be attained ...
Maktabi Marianne +2 more
doaj +1 more source
Sensors, 2021 During the last decade, orthopedic oncology has experienced the benefits of computerized medical imaging to reduce human dependency, improving accuracy and clinical outcomes.
Rafael Moreta-Martinez +5 more
doaj +1 more source
Comparative ergonomic workflow and user experience analysis of MRI versus fluoroscopy-guided vascular interventions:an iliac angioplasty exemplar case study [PDF]
, 2015 Purpose A methodological framework is introduced to assess and compare a conventional fluoroscopy protocol for peripheral angioplasty with a new magnetic resonant imaging (MRI)-guided protocol.
Cox, Benjamin F. +12 more
core +5 more sources
Closed-loop approach for situation awareness of medical devices and operating room infrastructure
Current Directions in Biomedical Engineering, 2015 In recent years, approaches for information and control integration in the digital operating room have emerged. A major step towards an intelligent operating room and a cooperative technical environment would be autonomous adaptation of medical devices ...
Rockstroh Max +2 more
doaj +1 more source
Temporal Memory Relation Network for Workflow Recognition From Surgical Video [PDF]
IEEE Transactions on Medical Imaging, 2021 Automatic surgical workflow recognition is a key component for developing context-aware computer-assisted systems in the operating theatre. Previous works either jointly modeled the spatial features with short fixed-range temporal information, or separately learned visual and long temporal cues.
Yueming Jin +5 more
openaire +3 more sources
Applied SciencesThe digitization of healthcare has enabled the application of advanced analytics, such as process mining and machine learning, to electronic health records (EHRs).
Ufuk Celik +2 more
doaj +1 more source
Challenges in implementing a digital pathology workflow in surgical pathology
Human Pathology Reports, 2022 The rate of digital pathology adoption had been slow until the COVID-19 pandemic served as catalyst, demonstrating the possibilities of saving time and money by converting glass slides into whole slide images (WSI) and thus making them available to all ...
Giovani Lujan, Zaibo Li, Anil V. Parwani
doaj +1 more source
A Boosted Segmentation Method for Surgical Workflow Analysis [PDF]
, 2007 As demands on hospital efficiency increase, there is a stronger need for automatic analysis, recovery, and modification of surgical workflows. Even though most of the previous work has dealt with higher level and hospital-wide workflow including issues like document management, workflow is also an important issue within the surgery room.
Padoy, Nicolas +5 more
openaire +3 more sources
Arthroplasty Today, 2019 Robotic arm assisted total knee arthroplasty (RTKA) has many potential benefits including advanced preoperative templating, restoration of mechanical alignment, accuracy of bony resection, robust safety mechanisms, and dynamic gap balancing.
Luis Grau, MD +6 more
doaj +1 more source