AIMC Topic: Communication

Clear Filters Showing 141 to 150 of 632 articles

An in-depth survey on Deep Learning-based Motor Imagery Electroencephalogram (EEG) classification.

Artificial intelligence in medicine
Electroencephalogram (EEG)-based Brain-Computer Interfaces (BCIs) build a communication path between human brain and external devices. Among EEG-based BCI paradigms, the most commonly used one is motor imagery (MI). As a hot research topic, MI EEG-ba...

Dominating Set Model Aggregation for communication-efficient decentralized deep learning.

Neural networks : the official journal of the International Neural Network Society
Decentralized deep learning algorithms leverage peer-to-peer communication of model parameters and/or gradients over communication graphs among the learning agents with access to their private data sets. The majority of the studies in this area focus...

Informed consent for artificial intelligence in emergency medicine: A practical guide.

The American journal of emergency medicine
As artificial intelligence (AI) expands its presence in healthcare, particularly within emergency medicine (EM), there is growing urgency to explore the ethical and practical considerations surrounding its adoption. AI holds the potential to revoluti...

A Hybrid Deep Learning Emotion Classification System Using Multimodal Data.

Sensors (Basel, Switzerland)
This paper proposes a hybrid deep learning emotion classification system (HDECS), a hybrid multimodal deep learning system designed for emotion classification in a specific national language. Emotion classification is important in diverse fields, inc...

"You Are Not Alone": The Allure and Limitations of Artificial Intelligence in Serious Illness Communication.

Journal of palliative medicine
Artificial intelligence (AI) is changing the way clinicians practice medicine, and recent technological advancements have resulted in consumer-facing products that can respond to users with dynamic and nuanced language. Clinicians typically struggle ...

Shaping the future of chronic disease management: Insights into patient needs for AI-based homecare systems.

International journal of medical informatics
BACKGROUND: The rising demand for healthcare resources, especially in chronic disease management, has elevated the importance of Artificial Intelligence (AI) in healthcare. While AI-based homecare systems are being developed, the perspectives of chro...

Unavoidable social contagion of false memory from robots to humans.

The American psychologist
Many of us interact with voice- or text-based conversational agents daily, but these conversational agents may unintentionally retrieve misinformation from human knowledge databases, confabulate responses on their own, or purposefully spread disinfor...

ChatGPT's Ability to Assist with Clinical Documentation: A Randomized Controlled Trial.

The Journal of the American Academy of Orthopaedic Surgeons
INTRODUCTION: Clinical documentation is a critical aspect of health care that enables healthcare providers to communicate effectively with each other and maintain accurate patient care records. Artificial intelligence tools, such as chatbots and virt...

Language Artificial Intelligences' Communicative Performance Quantified Through the Gricean Conversation Theory.

Cyberpsychology, behavior and social networking
This study pragmatically investigates an artificial intelligence (AI) speaker (AIS)'s verbal communicative performance based on real AI-human conversation data. Specifically, this study explores Grice's conversation theory, which enables the categori...

Environmental memory boosts group formation of clueless individuals.

Nature communications
The formation of groups of interacting individuals improves performance and fitness in many decentralised systems, from micro-organisms to social insects, from robotic swarms to artificial intelligence algorithms. Often, group formation and high-leve...