Recently, three-dimensional(3D)holograms from mixed-reality(MR)devices have become available in the medical field. 3D holographic images can provide immersive and intuitive information that has been reported to be very useful for preoperative simulations. Compared with conventional 3D images on a two-dimensional(2D)monitor, 3D holograms offer a higher level of realism, allowing observation of the images anytime and anywhere if the MR device is operational. Even during surgery, surgeons can check realistic 3D holograms in front of them, above the surgical field, without having to turn their heads toward a 2D monitor on the wall. 3D holograms can also be used for neuronavigation if the hologram is tracked to the patient's real head. This method can be defined as 3D augmented reality(AR)navigation, which shows a hologram of a target, such as a tumor or aneurysm, inside the head and brain. In the future, interventions using these techniques with 3D holograms from MR devices are expected to evolve and develop new types of treatments for endoscopic surgery or fluoroscopy-guided endovascular surgery.
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http://dx.doi.org/10.11477/mf.1436204908 | DOI Listing |
Natl Sci Rev
January 2025
College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
China's pursuit of carbon neutrality targets hinges on a profound shift towards low-carbon energy, primarily reliant on intermittent and variable, yet crucial, solar and wind power sources. In particular, low-solar-low-wind (LSLW) compound extremes present a critical yet largely ignored threat to the reliability of renewable electricity generation. While existing studies have largely evaluated the impacts of average climate-induced changes in renewable energy resources, comprehensive analyses of the compound extremes and, particularly, the underpinning dynamic mechanisms remain scarce.
View Article and Find Full Text PDFZhong Nan Da Xue Xue Bao Yi Xue Ban
August 2024
Center of Clinical Pharmacology, Third Xiangya Hospital, Central South University, Changsha 410013.
Objectives: Software for pharmacological modeling and statistical analysis is essential for drug development and individualized treatment modeling. This study aims to develop a pharmacokinetic analysis cloud platform that leverages cloud-based benefits, offering a user-friendly interface with a smoother learning curve.
Methods: The platform was built using Rails as the framework, developed in Julia language, and employs PostgreSQL 14 database, Redis cache, and Sidekiq for asynchronous task management.
PLoS One
January 2025
Department of Human Centered Design, Cornell University, Ithaca, New York, United States of America.
The increased adoption of three-dimensional (3D) digital prototyping software programs makes it necessary to train novice designers to use these programs efficiently. However, existing studies spanning from engineering to design education indicate that students feel incompetent in understanding 3D digital prototypes and navigating the software, so there is a need to find effective training methods. In the current study, training modules were developed to teach participants fit correction skills through an iterative problem-based learning (PBL) approach.
View Article and Find Full Text PDFJ Med Syst
January 2025
Computer Science Institute, DISIT, University of Eastern Piedmont, Alessandria, Italy.
In traditional medical education, learners are mostly trained to diagnose and treat patients through supervised practice. Artificial Intelligence and simulation techniques can complement such an educational practice. In this paper, we present GLARE-Edu, an innovative system in which AI knowledge-based methodologies and simulation are exploited to train learners "how to act" on patients based on the evidence-based best practices provided by clinical practice guidelines.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of California San Francisco, San Francisco, CA, USA.
Background: Only a small proportion of people living with Alzheimer's Disease (AD) are eligible for disease modifying therapies such as Lecanemab. Dementia care management programs, such as Care Ecosystem, provide care navigation and specialist resources to people with dementia and their caregivers, with broad eligibility criteria. We first estimated the lifetime health and economic outcomes of adults with MCI or mild dementia due to AD who receive Care Ecosystem, compared to Lecanemab.
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