Which performance indicators are used globally for evaluating healthcare in patients with a hip fracture?: a mixed methods systematic review by Veena Mazarello Paes, Andrew Ting, James Masters, Mahalia V. I. Paes, Elizabeth Tutton, Simon M. Graham, Matthew L. Costa, on behalf of the HIPCARE investigators*

Get full text

Eye tracking for assessment of situational awareness in bridge resource management training by Oguz Atik

“…The results show that the eye tracking technology is a valuable complementary tool for assessment of situational awareness in a simulator environment, utilized with the existing conventional observation and performance measurement methods. The study reveals that eye tracking provides the assessor with novel data in simulator based maritime training, such as focus of attention, which contributes to the evaluation of the situational awareness. …”
Get full text

Use of mobile applications for memory and attention training in extreme profile specialists (on the example of firefighters) by Ekaterina V. Marchenko, Alyona D. Issar

“…However, the comparison of improvements in both groups showed more significant difference in the indicators for the scope of attention, its span, sustainability, distribution and selectiveness, the scope of short-term memory, and the level of visual-spatial memory. Conclusions. Regular cognitive training with a mobile application proved effective. …”
Get full text

Octascope: A Lightweight Pre-Trained Model for Optical Coherence Tomography by Haoyang Cui, Chen Wang, Paul Calle, Yunlong Liu, Qinghao Zhang, Sinaro Ly, Justin Reynolds, Feng Yan, Ke Zhang, Ronghao Liu, Junyuan Liu, Kar-Ming Fung, Zhongxin Yu, Ajay Jain, Qinggong Tang, Chongle Pan

“…However, OCT image analysis using deep learning is hampered by limited diverse training data to meet performance requirements and high inference latency for real-time applications. …”
Get full text

Optimizing cadaveric models for endovascular training through effective preparation techniques by Christopher Ibarra, MD, Alex D. Contreras, MS, Samantha Cervantes, MS, Rebecca Barnes, MBS, Stuart J. Corr, PhD, Alan B. Lumsden, MD, Maham Rahimi, MD

“…Objective: This study highlights how a thorough preparation process is crucial to achieving successful cadaveric models for endovascular training. By sharing our descriptive report of procedural experiments and detailed preparation techniques, we demonstrate the importance of this process in creating high-fidelity models that enhance training effectiveness. …”
Get full text

Early years examination to identify suspect cerebral visual impairment (EYE-CVI): a feasibility study by Kathleen Vancleef, Rachel F Pilling, Brendan T Barrett

“…The subtests with poor performance in all three areas (pass rate, completion rate and engagement score) were ‘structure from motion’, ‘missing part’ and ‘coherent motion’.Conclusion Training EYT to administer visual function testing is feasible, in that some elements can be conducted in all children with a reasonably short test time. …”
Get full text

Deep Learning Based 3D Visualization Health Condition Monitoring Method for Anchor Digging Machines by YANG Xueqi, GAO Xinqin, ZHENG Haiyang, YANG Jun

“…The results showed that the SDAE‒DT Net model achieved the highest accuracy and the best prediction performance. On this basis, a 3D visualization health condition monitoring method of the anchor digging machine with data interaction was proposed. …”
Get full text

Detection and Segmentation of Glioma Tumors Using an Improved Visual Geometry Group (IVGG) Deep Learning Structure by Parameswari Alagarsamy, Vinoth Kumar Kalimuthu, Bhavani Sridharan

“…The Spatial Gabor Transform (SGT), feature calculations, and deep learning structure comprise the training work flow of the suggested MTDS technique. …”
Get full text

Trajectory Tracking Control Based on Visual Localization and Adaptive Radial Basis Function Sliding Mode Control by Hung-Yih Tsai, Shih-Min Liao, Chang-Hong Liu

Get full text

Visual Complexity in Korean Documents: Toward Language-Specific Datasets for Deep Learning-Based Forgery Detection by Yong-Yeol Bae, Dae-Jea Cho, Ki-Hyun Jung

“…The experimental results indicate that forged document images exhibit distinct visual alterations depending on the language. Furthermore, the detection performance of models trained on English-based datasets varies according to the language of the training and test data. …”
Get full text

Hygiene and didactic criteria of adaptation to the initial stage of training in higher education establishments. by N. P. Grebnyak, S. A. Schudro, R. A. Fedorchenko

“…Students with a history of hearing or visual disorder, smoking, alcoholism, cardiovascular and respiratory disease and on medication which affects cognitive performance were excluded from the study. …”
Get full text

DDC-Chat: Achieving accurate distracted driver classification through instruction tuning of visual language model by Chupei Liao, Kuoyi Lin

“…It utilizes logical reasoning chains to activate visual skills, including segmentation and pose detection, through end-to-end training. …”
Get full text

Optimizing visual data retrieval using deep learning driven CBIR for improved human machine interaction by Arulmozhi P, Gopi R

“…Abstract Content-based image retrieval (CBIR) systems have formidable obstacles in connecting human comprehension with machine-driven feature extraction due to the exponential expansion of visual data across many areas. Robust performance across varied datasets is challenging for traditional CBIR methods due to their reliance on hand-crafted features and inflexible structures. …”
Get full text

Interaction with Tactile Paving in a Virtual Reality Environment: Simulation of an Urban Environment for People with Visual Impairments by Nikolaos Tzimos, Iordanis Kyriazidis, George Voutsakelis, Sotirios Kontogiannis, George Kokkonis

“…In the field of orientation and mobility training, technologies with haptic interaction can assist individuals with visual impairments in learning how to navigate safely and effectively using the sense of touch. …”
Get full text

The approach to the screening for visual impairment of children and adolescents by family medicine physicians in the Eastern Region of Saudi Arabia by Khawlah S. Aldehailan, Eman K. Alharshan, Shahad A. AlShamlan, Nurah A. Alkhteeb, Mounther M. Alnaim

“…Data were collected using via social media and visits using a self-administered questionnaire comprising questions on sociodemographics, current screening methods, and physicians’ confidence in performing various visual assessment tests. Descriptive statistics were used to summarize the data, and Chi-square test was used to determine associations between physician demographics and screening practices. …”
Get full text

Visual attention and response time to distinguish athletes from non-athletes: A virtual reality study. by Lucia Imperiali, Stefano Borghi, Sara Bizzozero, Elena Prandoni, Ambra Bisio, Antonio La Torre, Roberto Codella

“…Including RT assessments into traditional training regimens could offer new insights for evaluating athletic performance.…”
Get full text

Exploring Barrier-Free Esports for Visually Impaired and Sighted Individuals: An Examination of Rapid Key Tapping Speed by Miyono Okinaka, Tsunehiko Wada

Get full text

Mixed Reality and Artificial Intelligence: A Holistic Approach to Multimodal Visualization and Extended Interaction in Knee Osteotomy by Andrea Moglia, Luca Marsilio, Matteo Rossi, Maria Pinelli, Emanuele Lettieri, Luca Mainardi, Alfonso Manzotti, Pietro Cerveri

“…The purpose of this work is to assess Holoknee prototype, based on AI and MR for multimodal data visualization and surgical planning in knee osteotomy, developed to run on the HoloLens 2 headset. …”
Get full text

Multisensory training based on an APP for enhanced verbal working memory in older adults by Rongjuan Zhu, Xiaoliang Ma, Ziyu Wang, Qi Hui, Xuan Wang, Xuqun You

“…Findings indicated that V-VWM training had a large effect on improving V-VWM task performance (Cohen's d = 1.765), A-VWM training showed a substantial effect on A-VWM task performance (Cohen's d = 1.904), and VA-VWM training demonstrated a significant effect on VA-VWM task performance (Cohen's d = 2.319) over pretest scores in older adults. …”
Get full text

Analysis and evaluation of eye behavior for marine operation training - A pilot study by Runze Mao, Guoyuan Li, Hans Petter Hildre, Houxiang Zhang

“…This paper presents a new analysis approach for evaluating situation awareness in marine operation training. Taking advantage of eye tracking technology, the situation awareness reflected by visual attention can be visualized and analyzed. …”
Get full text