AIMC Topic: Research Design

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Effectiveness of a Robot-Assisted Psychological Intervention for Children with Autism Spectrum Disorder.

Journal of autism and developmental disorders Nov 4, 2022
Difficulties with social interaction characterise children with Autism Spectrum Disorders and have a negative impact in their everyday life. Integrating a social-humanoid robot within the standard clinical treatment has been proven promising. The mai...
Humans Research Design Autism Spectrum Disorder Child Robotics Social Interaction Psychosocial Intervention
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Deep learning-based remote-photoplethysmography measurement from short-time facial video.

Physiological measurement Nov 3, 2022
. Efficient non-contact heart rate (HR) measurement from facial video has received much attention in health monitoring. Past methods relied on prior knowledge and an unproven hypothesis to extract remote photoplethysmography (rPPG) signals, e.g. manu...
Algorithms Research Design Deep Learning Photoplethysmography Heart Rate
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A novel deep learning-based method for COVID-19 pneumonia detection from CT images.

BMC medical informatics and decision making Nov 2, 2022
BACKGROUND: The sensitivity of RT-PCR in diagnosing COVID-19 is only 60-70%, and chest CT plays an indispensable role in the auxiliary diagnosis of COVID-19 pneumonia, but the results of CT imaging are highly dependent on professional radiologists.
Humans COVID-19 Research Design Tomography, X-Ray Computed SARS-CoV-2 Deep Learning
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Objective performance metrics in human robotic neuroendovascular interventions: a scoping review protocol.

JBI evidence synthesis Nov 1, 2022
OBJECTIVE: The objective of this scoping review is to review the available information on objective performance metrics used during robotic neuroendovascular intervention procedures on humans.
Humans Research Design Robotics Robotic Surgical Procedures Endovascular Procedures Scoping Reviews As Topic
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A Review on Rolling Bearing Fault Signal Detection Methods Based on Different Sensors.

Sensors (Basel, Switzerland) Oct 30, 2022
As a precision mechanical component to reduce friction between components, the rolling bearing is widely used in many fields because of its slight friction loss, strong bearing capacity, high precision, low power consumption, and high mechanical effi...
Neural Networks, Computer Artificial Intelligence Machine Learning Research Design
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What Is a Digital Twin? Experimental Design for a Data-Centric Machine Learning Perspective in Health.

International journal of molecular sciences Oct 29, 2022
The idea of a digital twin has recently gained widespread attention. While, so far, it has been used predominantly for problems in engineering and manufacturing, it is believed that a digital twin also holds great promise for applications in medicine...
Humans Machine Learning Research Design Big Data
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Semantic Annotation of Experimental Methods in Analytical Chemistry.

Analytical chemistry Oct 25, 2022
A major obstacle for reusing and integrating existing data is finding the data that is most relevant in a given context. The primary metadata resource is the scientific literature describing the experiments that produced the data. To stimulate the de...
Research Design Natural Language Processing Semantics Chemistry, Analytic
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Comparison of Perioperative Outcomes Between Retroperitoneal Single-Port and Multiport Robot-Assisted Partial Nephrectomies.

Journal of endourology Oct 21, 2022
To report early institutional experience with the single-port robotic platform and compare perioperative outcomes between single-port robot-assisted partial nephrectomies (SP-RAPN) and multiport robot-assisted partial nephrectomies (MP-RAPN) when ut...
Humans Research Design Retrospective Studies Robotics
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Multi-objective data enhancement for deep learning-based ultrasound analysis.

BMC bioinformatics Oct 20, 2022
Recently, Deep Learning based automatic generation of treatment recommendation has been attracting much attention. However, medical datasets are usually small, which may lead to over-fitting and inferior performances of deep learning models. In this ...
Neural Networks, Computer Research Design Deep Learning Knowledge
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Deep mendelian randomization: Investigating the causal knowledge of genomic deep learning models.

PLoS computational biology Oct 20, 2022
Multi-task deep learning (DL) models can accurately predict diverse genomic marks from sequence, but whether these models learn the causal relationships between genomic marks is unknown. Here, we describe Deep Mendelian Randomization (DeepMR), a meth...
Research Design Deep Learning Genomics Causality Mendelian Randomization Analysis
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