AIMC Topic: Humans

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Speaking your language: The psychological impact of dialect integration in artificial intelligence systems.

Current opinion in psychology
As the popularity and adoption of Artificial Intelligence (AI) systems continue to rise, this article presents a promising proposition: the use of AI dialects to enhance AI perception. By delving into the potential of personalized AI dialects to augm...

Beyond code: Consumer response to chatbots.

Current opinion in psychology
Chatbots, a type of virtual AI entity designed to emulate human conversation, are gaining prominence in business and consumer domains. This research aims to consolidate extant literature focusing on a pivotal aspect: the human-likeness of chatbots. E...

MSE-VGG: A Novel Deep Learning Approach Based on EEG for Rapid Ischemic Stroke Detection.

Sensors (Basel, Switzerland)
Ischemic stroke is a type of brain dysfunction caused by pathological changes in the blood vessels of the brain which leads to brain tissue ischemia and hypoxia and ultimately results in cell necrosis. Without timely and effective treatment in the ea...

Caries lesions diagnosis with deep convolutional neural network in intraoral QLF images by handheld device.

BMC oral health
OBJECTIVES: This study investigated the effectiveness of a deep convolutional neural network (CNN) in diagnosing and staging caries lesions in quantitative light-induced fluorescence (QLF) images taken by a self-manufactured handheld device.

Shared functional specialization in transformer-based language models and the human brain.

Nature communications
When processing language, the brain is thought to deploy specialized computations to construct meaning from complex linguistic structures. Recently, artificial neural networks based on the Transformer architecture have revolutionized the field of nat...

Evaluation of deep learning algorithms in detecting moyamoya disease: a systematic review and single-arm meta-analysis.

Neurosurgical review
The diagnosis of Moyamoya disease (MMD) relies heavily on imaging, which could benefit from standardized machine learning tools. This study aims to evaluate the diagnostic efficacy of deep learning (DL) algorithms for MMD by analyzing sensitivity, sp...

Performance of ChatGPT in classifying periodontitis according to the 2018 classification of periodontal diseases.

Clinical oral investigations
OBJECTIVES: This study assessed the ability of ChatGPT, an artificial intelligence(AI) language model, to determine the stage, grade, and extent of periodontitis based on the 2018 classification.