AIMC Topic: Physical Examination

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Machine learning assisted hepta band THz metamaterial absorber for biomedical applications.

Scientific reports Jan 31, 2023
A hepta-band terahertz metamaterial absorber (MMA) with modified dual T-shaped resonators deposited on polyimide is presented for sensing applications. The proposed polarization sensitive MMA is ultra-thin (0.061 λ) and compact (0.21 λ) at its lowest...
Electricity Physical Examination Computer Simulation Electric Impedance Machine Learning
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Device simulations with A U-Net model predicting physical quantities in two-dimensional landscapes.

Scientific reports Jan 13, 2023
Although Technology Computer-Aided Design (TCAD) simulation has paved a successful and efficient way to significantly reduce the cost of experiments under the device design, it still encounters many challenges as the semiconductor industry goes throu...
Computer Simulation Neural Networks, Computer Semiconductors Machine Learning Physical Examination
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Predicting stress, strain and deformation fields in materials and structures with graph neural networks.

Scientific reports Dec 17, 2022
Developing accurate yet fast computational tools to simulate complex physical phenomena is a long-standing problem. Recent advances in machine learning have revolutionized the way simulations are approached, shifting from a purely physics- to AI-base...
Neural Networks, Computer Machine Learning Physics Physical Examination
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A Geometric Kinematic Model for Flexible Voxel-Based Robots.

Soft robotics Nov 16, 2022
Voxel-based structures provide a modular, mechanically flexible periodic lattice, which can be used as a soft robot through internal deformations. To engage these structures for robotic tasks, we use a finite element method to characterize the motion...
Motion Physical Examination Biomechanical Phenomena Robotics
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A correlation-based feature analysis of physical examination indicators can help predict the overall underlying health status using machine learning.

Scientific reports Nov 15, 2022
As a systematic investigation of the correlations between physical examination indicators (PEIs) is lacking, most PEIs are currently independently used for disease warning. This results in the general physical examination having limited diagnostic va...
Humans Health Status Machine Learning Physical Examination China
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Measuring the impact of simulation debriefing on the practices of interprofessional trauma teams using natural language processing.

American journal of surgery Oct 1, 2022
BACKGROUND: Natural language processing (NLP) may be a tool for automating trauma teamwork assessment in simulated scenarios.
Simulation Training Physical Examination Natural Language Processing Patient Care Team Humans Communication Clinical Competence Computer Simulation
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Eliminating CT radiation for clinical PET examination using deep learning.

European journal of radiology Jun 23, 2022
Clinical PET/CT examinations rely on CT modality for anatomical localization and attenuation correction of the PET data. However, the use of CT significantly increases the risk of ionizing radiation exposure for patients. We propose a deep learning f...
Positron Emission Tomography Computed Tomography Positron-Emission Tomography Physical Examination Signal-To-Noise Ratio Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Deep Learning
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Sensing, Actuating, and Interacting Through Passive Body Dynamics: A Framework for Soft Robotic Hand Design.

Soft robotics Jun 16, 2022
Robotic hands have long strived to reach the performance of human hands. The physical complexity and extraordinary capabilities of the human hand, in terms of sensing, actuation, and cognitive abilities, make achieving this goal challenging. At the h...
Physical Examination Hand Upper Extremity Robotics Wrist Humans
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Machine learning-aided risk prediction for metabolic syndrome based on 3 years study.

Scientific reports Feb 10, 2022
Metabolic syndrome (MetS) is a group of physiological states of metabolic disorders, which may increase the risk of diabetes, cardiovascular and other diseases. Therefore, it is of great significance to predict the onset of MetS and the corresponding...
Risk Assessment Longitudinal Studies Models, Statistical Physical Examination Metabolic Syndrome Male Middle Aged Risk Factors Adult Humans Machine Learning Female
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Point-of-care screening for heart failure with reduced ejection fraction using artificial intelligence during ECG-enabled stethoscope examination in London, UK: a prospective, observational, multicentre study.

The Lancet. Digital health Jan 5, 2022
BACKGROUND: Most patients who have heart failure with a reduced ejection fraction, when left ventricular ejection fraction (LVEF) is 40% or lower, are diagnosed in hospital. This is despite previous presentations to primary care with symptoms. We aim...
Heart Failure Female Artificial Intelligence Aged Male United Kingdom Humans Prospective Studies Stethoscopes Middle Aged Point-of-Care Systems Neural Networks, Computer Physical Examination Electrocardiography
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