AIMC Topic: Research Design

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Best practices for artificial intelligence in life sciences research.

Drug discovery today Jan 22, 2021
We describe 11 best practices for the successful use of artificial intelligence and machine learning in pharmaceutical and biotechnology research at the data, technology and organizational management levels.
Biotechnology Research Design Technology, Pharmaceutical Artificial Intelligence Machine Learning Humans
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From Code to Bedside: Implementing Artificial Intelligence Using Quality Improvement Methods.

Journal of general internal medicine Jan 19, 2021
Despite increasing interest in how artificial intelligence (AI) can augment and improve healthcare delivery, the development of new AI models continues to outpace adoption in existing healthcare processes. Integration is difficult because current app...
Quality Improvement Humans Research Design Delivery of Health Care Artificial Intelligence
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Early detection of sepsis using artificial intelligence: a scoping review protocol.

Systematic reviews Jan 16, 2021
BACKGROUND: Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. To decrease the high case fatality rates and morbidity for sepsis and septic shock, there is a need to increase the accuracy of early dete...
Artificial Intelligence Research Design Humans Population Groups Scoping Reviews As Topic Shock, Septic Publications
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Synchronization of Nonidentical Neural Networks With Unknown Parameters and Diffusion Effects via Robust Adaptive Control Techniques.

IEEE transactions on cybernetics Jan 15, 2021
This paper considers the self-synchronization and tracking synchronization issues for a class of nonidentically coupled neural networks model with unknown parameters and diffusion effects. Using the special structure of neural networks with global Li...
Humans Neural Networks, Computer Brain Models, Neurological Diffusion Algorithms Research Design
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Reporting guidelines for clinical trials of artificial intelligence interventions: the SPIRIT-AI and CONSORT-AI guidelines.

Trials Jan 6, 2021
BACKGROUND: The application of artificial intelligence (AI) in healthcare is an area of immense interest. The high profile of 'AI in health' means that there are unusually strong drivers to accelerate the introduction and implementation of innovative...
Humans Consensus Research Report Artificial Intelligence Research Design
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Utilization of Self-Diagnosis Health Chatbots in Real-World Settings: Case Study.

Journal of medical Internet research Jan 6, 2021
BACKGROUND: Artificial intelligence (AI)-driven chatbots are increasingly being used in health care, but most chatbots are designed for a specific population and evaluated in controlled settings. There is little research documenting how health consum...
Telemedicine Male Social Media Humans Female Research Design Artificial Intelligence Adult
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A machine learning compatible method for ordinal propensity score stratification and matching.

Statistics in medicine Dec 22, 2020
Although machine learning techniques that estimate propensity scores for observational studies with multivalued treatments have advanced rapidly in recent years, the development of propensity score adjustment techniques has not kept pace. While machi...
Propensity Score Child Causality Humans Computer Simulation Machine Learning Adolescent Research Design
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Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Diabetic Disease Setting.

Journal of medical Internet research Dec 16, 2020
BACKGROUND: Despite excellent prediction performance, noninterpretability has undermined the value of applying deep-learning algorithms in clinical practice. To overcome this limitation, attention mechanism has been introduced to clinical research as...
Humans Research Design Republic of Korea Algorithms Diabetes Mellitus Reproducibility of Results Empirical Research Deep Learning
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Quantifying influence of human choice on the automated detection of Drosophila behavior by a supervised machine learning algorithm.

PloS one Dec 16, 2020
Automated quantification of behavior is increasingly prevalent in neuroscience research. Human judgments can influence machine-learning-based behavior classification at multiple steps in the process, for both supervised and unsupervised approaches. S...
Drosophila Male Social Behavior Choice Behavior Data Interpretation, Statistical Observer Variation Humans Female Sex Factors Behavior Observation Techniques Research Design Supervised Machine Learning Animals Research Personnel Video Recording
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A k-space-to-image reconstruction network for MRI using recurrent neural network.

Medical physics Dec 12, 2020
PURPOSE: Reconstructing the images from undersampled k-space data are an ill-posed inverse problem. As a solution to this problem, we propose a method to reconstruct magnetic resonance (MR) images directly from k-space data using a recurrent neural n...
Neural Networks, Computer Research Design Magnetic Resonance Imaging Image Processing, Computer-Assisted
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