AIMC Topic: Research Design

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Evaluation for hierarchical diagnosis and treatment policy proposals in China: A novel multi-attribute group decision-making method with multi-parametric distance measures.

The International journal of health planning and management Nov 30, 2021
The policy 'hierarchical medical treatment system' promulgated by the State Council of China is an effective way to solve the problem of insufficient and unbalanced medical resources. In response, governments in different provinces explore a variety ...
Policy Research Design Decision Making China Fuzzy Logic
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Artificial Intelligence-Powered Blockchains for Cardiovascular Medicine.

The Canadian journal of cardiology Nov 30, 2021
Clinical databases, particularly those composed of big data, face growing security challenges. Blockchain, the open, decentralized, distributed public ledger technology powering cryptocurrency, records transactions securely without the need for third...
Artificial Intelligence Cardiology Research Design Wearable Electronic Devices Humans Delivery of Health Care Blockchain Telemedicine
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One Spatio-Temporal Sharpening Attention Mechanism for Light-Weight YOLO Models Based on Sharpening Spatial Attention.

Sensors (Basel, Switzerland) Nov 28, 2021
Attention mechanisms have demonstrated great potential in improving the performance of deep convolutional neural networks (CNNs). However, many existing methods dedicate to developing channel or spatial attention modules for CNNs with lots of paramet...
Research Design Neural Networks, Computer
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Low-dose CT reconstruction with Noise2Noise network and testing-time fine-tuning.

Medical physics Nov 17, 2021
PURPOSE: Deep learning-based image denoising and reconstruction methods demonstrated promising performance on low-dose CT imaging in recent years. However, most existing deep learning-based low-dose CT reconstruction methods require normal-dose image...
Phantoms, Imaging Humans Research Design Tomography, X-Ray Computed Neural Networks, Computer Image Processing, Computer-Assisted Algorithms
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Optimization of clinical risk-factor interpretation and radiological findings with machine learning for PIRADS category 3 patients.

The Prostate Nov 15, 2021
BACKGROUND: Due to the low cancer-detection rate in patients with PIRADS category 3 lesions, we created machine learning (ML) models to facilitate decision-making about whether to perform prostate biopsies or monitor clinical information without biop...
Unnecessary Procedures Public Reporting of Healthcare Data Humans Research Design Aged Machine Learning Prostate-Specific Antigen Ultrasonography, Interventional Quality Improvement Image-Guided Biopsy Prostate Sensitivity and Specificity Magnetic Resonance Imaging Risk Assessment Male Prostatic Neoplasms
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Deep learning-based facial image analysis in medical research: a systematic review protocol.

BMJ open Nov 11, 2021
INTRODUCTION: Deep learning techniques are gaining momentum in medical research. Evidence shows that deep learning has advantages over humans in image identification and classification, such as facial image analysis in detecting people's medical cond...
Humans Research Design Delivery of Health Care Systematic Reviews as Topic Biomedical Research Deep Learning
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Artificial intelligence for mechanical ventilation: systematic review of design, reporting standards, and bias.

British journal of anaesthesia Nov 9, 2021
BACKGROUND: Artificial intelligence (AI) has the potential to personalise mechanical ventilation strategies for patients with respiratory failure. However, current methodological deficiencies could limit clinical impact. We identified common limitati...
Respiratory Insufficiency Research Report Research Design Respiration, Artificial Randomized Controlled Trials as Topic Bias Models, Theoretical Humans Artificial Intelligence Algorithms
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Classifying chest CT images as COVID-19 positive/negative using a convolutional neural network ensemble model and uniform experimental design method.

BMC bioinformatics Nov 8, 2021
BACKGROUND: To classify chest computed tomography (CT) images as positive or negative for coronavirus disease 2019 (COVID-19) quickly and accurately, researchers attempted to develop effective models by using medical images.
Humans Neural Networks, Computer Tomography, X-Ray Computed COVID-19 SARS-CoV-2 Research Design Deep Learning
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Environmental sound classification using temporal-frequency attention based convolutional neural network.

Scientific reports Nov 3, 2021
Environmental sound classification is one of the important issues in the audio recognition field. Compared with structured sounds such as speech and music, the time-frequency structure of environmental sounds is more complicated. In order to learn ti...
Models, Statistical Noise Acoustics Speech Models, Theoretical Semantics Music Recognition, Psychology Humans Attention Sound Research Design Neural Networks, Computer Algorithms Motivation Learning
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Heterogeneous treatment effect analysis based on machine-learning methodology.

CPT: pharmacometrics & systems pharmacology Oct 30, 2021
Heterogeneous treatment effect (HTE) analysis focuses on examining varying treatment effects for individuals or subgroups in a population. For example, an HTE-informed understanding can critically guide physicians to individualize the medical treatme...
Algorithms Humans Research Design Machine Learning
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