Computer-Assisted Preoperative Planning: The Future Is Now!

2015 ◽  
Vol 97 (8) ◽  
pp. e41-1-2 ◽  
Author(s):  
T. Bradley Edwards
Keyword(s):  
Preoperative Planning ◽  
Computer Assisted ◽  
The Future

scholarly journals The utilization of clinical CT scanning as a qualitative tool in preoperative planning of fracture treatment in the future: An autopsy study

Injury Extra ◽  
2007 ◽  
Vol 38 (4) ◽  
pp. 126
Author(s):  
G. Singh ◽  
A. Høiseth ◽  
C. Eckhardt ◽  
S. Tshudi ◽  
K. Strømsøe ◽  
...  
Keyword(s):  
Preoperative Planning ◽  
Ct Scanning ◽  
Fracture Treatment ◽  
Autopsy Study ◽  
The Future

Computer-assisted database indexing: the state-of-the-art

1994 ◽  
Vol 19 (1) ◽  
pp. 23-27
Author(s):  
Gail M. Hodge
Keyword(s):  
Data Base ◽  
Production System ◽  
State Of The Art ◽  
The State ◽  
Computer Support ◽  
Computer Assisted ◽  
Computer Assistance ◽  
The Future ◽  
Database Indexing ◽  
Operational Systems

Discusses the state-of-the-art in computer indexing, defines indexing and computer assistance, describes the reasons for renewed interest, identifies the types of computer support in use using selected operational systems, describes the integration of various computer supports in one data base production system, and speculates on the future.

The Establishment and Management of a Production Data Exchange Group

2005 ◽  
Vol 21 (02) ◽  
pp. 73-80
Author(s):  
Gregory F. Morea
Keyword(s):  
Data Exchange ◽  
Production Data ◽  
Computer Assisted ◽  
Product Model ◽  
Aircraft Carrier ◽  
Exchange Group ◽  
Digital Format ◽  
Marine Industry ◽  
The Future ◽  
Design And Construction

The design and construction of any marine vessel designed on a computer-assisted design (CAD) system, from a nuclear aircraft carrier to the smallest work boat, requires the interaction of many electronic databases, all of which must be continually updated for the work to proceed. The exchange of this information, especially geometry, in digital format is accomplished using many different tools and techniques. Much has been presented to the marine community about the tools used, such as the Initial Graphics Exchange Specification (IGES) and the Standard for the Exchange of Product Model Data (STEP), and how these tools might be used for exchanges in the future, but little has been presented on how production data exchanges actually occur. At Electric Boat, current submarine programs cannot wait for future data transfer solutions. Design and construction data must be exchanged among various activities, internal and external, with such volume as to make manual reentry of data an unrealistic solution. Because of the complexities associated with the electronic exchange of these data, the General Dynamics (GD) Marine organization of Electric Boat has a dedicated group that both performs production data exchanges and researches and implements new methods of electronic transfer. This paper discusses the rationale for and the formation of the data exchange group at Electric Boat, along with its place within GD Marine. It then presents an overview of the tools used by the group and how production transfers occur, both routine and unique. Notable transfers provide examples of how the group works to solve transfer problems. Importantly, this paper shows how many of the exchange standards developed for the marine industry actually work in production. Special emphasis will be placed on the exchange of solid models in a day-to-day environment. The paper concludes with a look at the future of production data exchanges for Electric Boat and the larger marine industry.

Real-Time Image-Guided Navigation in the Management of Alveolar Cleft Repair

2021 ◽  
pp. 105566562110577
Author(s):  
Yuying Zhang ◽  
Jiawei Dai ◽  
Xiazhou Fu ◽  
Jiegang Yang ◽  
Yuchuan Fu ◽  
...  
Keyword(s):  
Real Time ◽  
Navigation System ◽  
Preoperative Planning ◽  
Surgical Simulation ◽  
Surgical Navigation ◽  
Computer Assisted ◽  
Alignment Procedure ◽  
Alveolar Cleft ◽  
Image Guided ◽  
Dynamic Navigation

Objectives: To present the use of dynamic navigation system in the repair of alveolar cleft. Patients and Participants: A total of three non-syndromic patients with unilateral alveolar cleft were involved in this study. Real-time computer-aided navigation were used to achieve restoration and reconstruction with standardized surgical technique. Methods: With the individual virtual 3-dimensional (3-D) modeling based on computed tomography (CT) data, preoperative planning and surgical simulation were carried out with the navigation system. During preoperative virtual planning, the defect volume or the quantity of graft is directly assessed at the surgical region. With the use of this system, the gingival periosteum flap incision can be tracked in real-time, and the bone graft can be navigated under the guidance of the 3-D views until it matches the preoperatively planned position. Results: Three patients with alveolar cleft were successfully performed under navigation guidance. Through the model alignment procedure, accurate matches between the actual intraoperative position and the CT images were achieved within the systematic error of 0.3 mm. The grafted bone was implanted according to the preoperative plan with the aid of instrument- and probe-based navigation. All the patients were healed well without serious complications. Conclusions: These findings suggest that image-guided surgical navigation, including preoperative planning, surgical simulation, postoperative assessment, and computer-assisted navigation was feasible and yielded good clinical outcomes. Clinical relevance: This dynamic navigation could be proved to be a valuable option for this complicated surgical procedure in the management of alveolar cleft repair.

scholarly journals Translator Education at a Crossroads:the Impact of Automation

2019 ◽  
Vol 64 (1) ◽  
pp. 103-121 ◽  
Author(s):  
Begoña Rodríguez de Céspedes
Keyword(s):  
Machine Translation ◽  
New Technologies ◽  
Service Providers ◽  
Computer Assisted ◽  
Daily Lives ◽  
Translation Tools ◽  
Technological Competence ◽  
The Future ◽  
The Impact ◽  
Translator Education

Abstract Automation is affecting all spheres of our daily lives and humans are adapting both to the challenges that it poses and the benefits that it brings. The translation profession has also experienced the impact of new technologies with Language Service Providers adapting to changes (Presas/Cid-Leal/Torres-Hostench 2016; Sakamoto/Rodríguez de Céspedes/Evans/Berthaud 2017). Translation trainers are not oblivious to this phenomenon. There have indeed been efforts to incorporate the teaching of digital translation tools and new technologies in the translation classroom (Doherty/Kenny/Way 2012; Doherty/Moorkens 2013; Austermühl 2013; O’Hagan 2013; Gaspari/Almaghout/Doherty 2015; Moorkens 2017) and many translation programmes in Europe are adapting their curricula to incorporate this necessary technological competence (Rothwell/Svoboda 2017). This paper reflects on the impact that automation and, more specifically machine translation and computer assisted tools, have and will have on the future training of translators and on the balance given by translation companies to language and technological skills.

Computer‐Assisted Prescription: The Future of Nutrition Care?

2020 ◽  
Author(s):  
Jean‐Charles Preiser ◽  
Steven Laureys ◽  
Arthur Raymond Hubert Zanten ◽  
André Van Gossum
Keyword(s):  
Computer Assisted ◽  
Nutrition Care ◽  
The Future
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