Human–machine interactions research should include diverse subjects and benefit all people.
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How to determine hands' vibration perception thresholds - a systematic review.
Behav Res Methods
December 2024
Algoritmi Research Centre, University of Minho, Campus de Azurém, 4800-058, Guimarães, Portugal.
The vibration perception threshold (VPT) is the minimum amplitude required for conscious vibration perception. VPT assessments are essential in medical diagnostics, safety, and human-machine interaction technologies. However, factors like age, health conditions, and external variables affect VPTs.
View Article and Find Full Text PDFCT radiomics and human-machine hybrid system for differentiating mediastinal lymphomas from thymic epithelial tumors.
Cancer Imaging
November 2024
Department of Radiology, Fudan University Shanghai Cancer Center and Department of Oncology, Shanghai Medical College, Fudan University, No. 270, Dongan Rd, Shanghai, 200032, People's Republic of China.
Background: It is difficult for radiologists, especially junior radiologists with limited experience to make differential diagnoses between mediastinal lymphomas and thymic epithelial tumors (TETs) due to the overlapping imaging features. The purpose of this study was to develop and validate a CT-based clinico-radiomics model for differentiating lymphomas from TETs and to investigate whether a human-machine hybrid system can assist junior radiologists in improving their diagnostic performance.
Methods: The patients who underwent contrast-enhanced chest CT and pathologically confirmed with lymphoma or TET at two centers from January 2011 to December 2019 and from January 2017 to December 2021 were retrospectively included and split as training/validation set and external test set, respectively.
Deep learning algorithms for melanoma detection using dermoscopic images: A systematic review and meta-analysis.
Artif Intell Med
September 2024
School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. Electronic address:
Article Synopsis
- Melanoma poses a significant health risk, and early detection is crucial for effective treatment; deep learning (DL) technology shows promise in diagnosing melanoma through imaging.
- A systematic review of studies from various medical databases evaluated the performance of DL algorithms and their comparisons with dermatologists, using specific diagnostic metrics.
- Results indicate that DL algorithms achieve high diagnostic accuracy closely matching senior dermatologists, highlighting the potential for collaboration between AI and medical professionals in improving melanoma detection.
Quasi-1D Conductive Network Composites for Ultra-Sensitive Strain Sensing.
Adv Sci (Weinh)
September 2024
CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, P. R. China.
Highly performance flexible strain sensor is a crucial component for wearable devices, human-machine interfaces, and e-skins. However, the sensitivity of the strain sensor is highly limited by the strain range for large destruction of the conductive network. Here the quasi-1D conductive network (QCN) is proposed for the design of an ultra-sensitive strain sensor.
View Article and Find Full Text PDFEvaluating initial usability of a hand augmentation device across a large and diverse sample.
Sci Robot
May 2024
MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.
The advancement of motor augmentation and the broader domain of human-machine interaction rely on a seamless integration with users' physical and cognitive capabilities. These considerations may markedly fluctuate among individuals on the basis of their age, form, and abilities. There is a need to develop a standard for considering these diversity needs and preferences to guide technological development, and large-scale testing can provide us with evidence for such considerations.
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