8 research outputs found

    The Role of Computer Graphics in Cleft Lip and Palate Education

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    For many years various charities have been sending doctors to developing countries to perform cleft lip and palate surgery. In the course of these missionary trips, visiting doctors can operate on only a limited number of patients. It has become clear that empowering the local surgeon to solve the problem is the solution. The SmileTrain commissioned our laboratory to created a series of CD roms that would instruct surgeons, using a combination of three-dimensional animation and live surgical footage. During the course of production for these CDs, we programmed custom plug-ins into commercial animation software (Maya® Alias) that would allow us to perform surgery techniques on a digital model of a unilateral and bilateral patient. The next phase of the project was to create a surgical simulator. From the animation project, we had developed a work flow for virtual surgery simulation. Using many of the concepts from the animation project, we were able to program a real-time virtual surgical simulator using C++. The deformer-based surgery simulator is a stand-alone application that can allow a doctor to practice, record, and review a surgery in a safe digital environment

    Internet-based Digital Simulation for Cleft Surgery Education: A 10-year Assessment of Demographics, Usage, and Future Directions

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    Background:. In October 2012, an open-access, multimedia digital cleft simulator was released. Its purpose was to address global disparities in cleft surgery education, providing an easily accessible surgical atlas for trainees globally. The simulator platform includes a three-dimensional surgical simulation of cleft care procedures, intraoperative videos, and voiceover. This report aims to assess the simulator's demographics and usage in its tenth year since inception. Finally, we also aim to understand the traction of virtual reality in cleft surgical education. Methods:. Usage data of the simulator over 10 years were retrospectively collected and analyzed. Data parameters included the number of users, sessions, countries reached, and content access. An electronic survey was emailed to registered users to assess the benefits of the simulator. Results:. The total number of new and active simulator users reached 7687 and 12,042. The simulator was accessed an average of 172.9.0 ± 197.5 times per month. Low- to middle-income regions accounted for 43% of these sessions. The mean session duration was 11.4 ± 6.3 minutes, yielding a total screen time of 3022 hours. A total of 331 individuals responded to the survey, of whom 80.8% found the simulator to be very useful or extremely useful. Of those involved in education, 45.0% implemented the simulator as a teaching tool. Conclusions:. Global utilization of the simulator has been sustained after 10 years from inception with an increased presence in low- to middle-income nations. Future similar surgical simulators may provide sustainable training platforms to surgeons in low- and high-resource areas

    Critical Assessment of Metagenome Interpretation: the second round of challenges

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    Meyer F, Fritz A, Deng Z-L, et al. Critical Assessment of Metagenome Interpretation: the second round of challenges. Nature Methods. 2022;19:429-440.Evaluating metagenomic software is key for optimizing metagenome interpretation and focus of the Initiative for the Critical Assessment of Metagenome Interpretation (CAMI). The CAMI II challenge engaged the community to assess methods on realistic and complex datasets with long- and short-read sequences, created computationally from around 1,700 new and known genomes, as well as 600 new plasmids and viruses. Here we analyze 5,002 results by 76 program versions. Substantial improvements were seen in assembly, some due to long-read data. Related strains still were challenging for assembly and genome recovery through binning, as was assembly quality for the latter. Profilers markedly matured, with taxon profilers and binners excelling at higher bacterial ranks, but underperforming for viruses and Archaea. Clinical pathogen detection results revealed a need to improve reproducibility. Runtime and memory usage analyses identified efficient programs, including top performers with other metrics. The results identify challenges and guide researchers in selecting methods for analyses
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