AIMC Topic: Communication

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Using Health Chatbots for Behavior Change: A Mapping Study.

Journal of medical systems Apr 4, 2019
This study conducts a mapping study to survey the landscape of health chatbots along three research questions: What illnesses are chatbots tackling? What patient competences are chatbots aimed at? Which chatbot technical enablers are of most interest...
User-Computer Interface Health Status Internet Machine Learning Mental Health Communication Humans Nervous System Diseases Telemedicine Text Messaging Health Behavior Behavior, Addictive Metabolic Diseases Nutrition Disorders
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Modulation Classification of Underwater Communication with Deep Learning Network.

Computational intelligence and neuroscience Apr 1, 2019
Automatic modulation recognition has successfully used various machine learning methods and achieved certain results. As a subarea of machine learning, deep learning has made great progress in recent years and has made remarkable progress in the fiel...
Neural Networks, Computer Machine Learning Communication Acoustics Social Networking Deep Learning Humans Image Processing, Computer-Assisted
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Five simultaneous artificial intelligence data challenges on ultrasound, CT, and MRI.

Diagnostic and interventional imaging Mar 15, 2019
PURPOSE: The goal of this data challenge was to create a structured dynamic with the following objectives: (1) teach radiologists the new rules of General Data Protection Regulation (GDPR), while building a large multicentric prospective database of ...
Humans Artificial Intelligence Tomography, X-Ray Computed Breast Neoplasms Datasets as Topic Computer Security Tibial Meniscus Injuries Liver Neoplasms Kidney Cortex Magnetic Resonance Imaging Interprofessional Relations Neoplasm Invasiveness Communication Thyroid Cartilage Thyroid Neoplasms Ultrasonography
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Finite-time cluster synchronization for a class of fuzzy cellular neural networks via non-chattering quantized controllers.

Neural networks : the official journal of the International Neural Network Society Feb 7, 2019
This paper considers the finite-time cluster synchronization (FTCS) of coupled fuzzy cellular neural networks (FCNNs) with Markovian switching topology, discontinuous activation functions, proportional leakage, and time-varying unbounded delays. Nove...
Algorithms Communication Time Factors Neural Networks, Computer Fuzzy Logic Cluster Analysis Uncertainty
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How Should Clinicians Communicate With Patients About the Roles of Artificially Intelligent Team Members?

AMA journal of ethics Feb 1, 2019
This commentary responds to a hypothetical case involving an assistive artificial intelligence (AI) surgical device and focuses on potential harms emerging from interactions between humans and AI systems. Informed consent and responsibility-specifica...
Decision Making, Computer-Assisted Attitude to Computers Diagnosis, Computer-Assisted United States Patient Education as Topic Robotic Surgical Procedures Intervertebral Disc Displacement Patients Communication Male Middle Aged Humans Artificial Intelligence Health Personnel
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Asynchronous Multiplex Communication Channels in 2-D Neural Network With Fluctuating Characteristics.

IEEE transactions on neural networks and learning systems Dec 14, 2018
Neurons behave like transistors, but have fluctuating characteristics. In this paper, we show that several asynchronous multiplex communication channels can be established in a 2-D mesh neural network with randomly generated weights between eight nei...
Neural Networks, Computer Brain Humans Action Potentials Neurons Computer Simulation Communication Models, Neurological
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Social Conformity Effects on Trust in Simulation-Based Human-Robot Interaction.

Human factors Nov 15, 2018
OBJECTIVE: We investigated the co-acting influences of communication and social conformity on trust in human-robot interaction.
Social Conformity Humans Female Young Adult Adolescent Communication Robotics User-Computer Interface Male Social Behavior Trust
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Social robots to support children's well-being under medical treatment: A systematic state-of-the-art review.

Journal of child health care : for professionals working with children in the hospital and community Nov 3, 2018
Hospitalization is a stressful experience for children. Socially assistive robots (SARs), designed to interact with humans, might be a means to mitigate a child's stress and support its well-being. A systematic state-of-the-art review was performed t...
Inpatients Robotics Family Child Welfare Communication Child Emotions Humans Hospitalization
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A Two-Step Neural Dialog State Tracker for Task-Oriented Dialog Processing.

Computational intelligence and neuroscience Oct 18, 2018
Dialog state tracking in a spoken dialog system is the task that tracks the flow of a dialog and identifies accurately what a user wants from the utterance. Since the success of a dialog is influenced by the ability of the system to catch the require...
Humans Speech Neural Networks, Computer Communication
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Identifying in Palliative Care Consultations: A Tandem Machine-Learning and Human Coding Method.

Journal of palliative medicine Oct 17, 2018
Systematic measurement of conversational features in the natural clinical setting is essential to better understand, disseminate, and incentivize high quality serious illness communication. Advances in machine-learning (ML) classification of human s...
Neoplasms Referral and Consultation Palliative Care Female Aged Communication Humans Male Cross-Sectional Studies Machine Learning Middle Aged
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