AIMC Topic: Humans

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Automated prediction of the neoadjuvant chemotherapy response in osteosarcoma with deep learning and an MRI-based radiomics nomogram.

European radiology
OBJECTIVES: To implement a pipeline to automatically segment the ROI and to use a nomogram integrating the MRI-based radiomics score and clinical variables to predict responses to neoadjuvant chemotherapy (NAC) in osteosarcoma patients.

Deep learning-based anomaly detection from ultrasonic images.

Ultrasonics
Non-destructive testing is a group of methods for evaluating the integrity of components. Among them, ultrasonic inspection stands out due to its ability to visualize both shallow and deep sections of the material in the search for flaws. Testing of ...

Change in task conditions leads to changes in intermittency in intermittent feedback control employed by CNS in control of human stance.

Biological cybernetics
Event-driven intermittent feedback control is a form of feedback control in which the corrective control action is only initiated intermittently when the variables of interest exceed certain threshold criteria. It has been reported in the literature ...

Automatic recognition of whole-spine sagittal alignment and curvature analysis through a deep learning technique.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
PURPOSE: Artificial intelligence based on deep learning (DL) approaches enables the automatic recognition of anatomic landmarks and subsequent estimation of various spinopelvic parameters. The locations of inflection points (IPs) and apices (APs) in ...

Design and experimental validation of a master manipulator with position and posture decoupling for laparoscopic surgical robot.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: The master manipulator with position and posture decoupling and force feedback can improve the immersion of the operation, and the gravity balance can reduce the fatigue of surgeons.

Statistical and machine learning methods to study human CD4 T cell proteome profiles.

Immunology letters
Mass spectrometry proteomics has become an important part of modern immunology, making major contributions to understanding protein expression levels, subcellular localizations, posttranslational modifications, and interactions in various immune cell...

Deep Learning Methods for Multi-Channel EEG-Based Emotion Recognition.

International journal of neural systems
Currently, Fourier-based, wavelet-based, and Hilbert-based time-frequency techniques have generated considerable interest in classification studies for emotion recognition in human-computer interface investigations. Empirical mode decomposition (EMD)...

Contextual associations represented both in neural networks and human behavior.

Scientific reports
Contextual associations facilitate object recognition in human vision. However, the role of context in artificial vision remains elusive as does the characteristics that humans use to define context. We investigated whether contextually related objec...

A survey on the influence of CYBATHLON on the development and acceptance of advanced assistive technologies.

Journal of neuroengineering and rehabilitation
BACKGROUND: Advanced assistive technologies (AAT) aim to exploit the vast potential of technological developments made in the past decades to improve the quality of life of people with disabilities. Combining complex robotic technologies with the uni...