THE EFFICACY OF ARTIFICIAL INTELLIGENCE-BASED VIRTUAL ASSISTANTS IN ANSWERING FREQUENT INQUIRIES CONCERNING ACCELERATED ORTHODONTICS

AIM: To evaluate the benefits of AI-based virtual assistants for improved compliance and treatment results due to availability of knowledge based on evidence without need to consult an orthodontist.OBJECTIVES: To assess effectiveness and usefulness of four AI-powered virtual assistants that can be controlled by speech (Alexa, Google Assistant, Siri, and Cortana) in responding to frequently requested patient inquiries about Accelerated orthodontics

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-09
DOI
https://doi.org/10.5281/zenodo.14321250
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

THE EFFICACY OF ARTIFICIAL INTELLIGENCE-BASED VIRTUAL ASSISTANTS IN ANSWERING FREQUENT INQUIRIES CONCERNING ACCELERATED ORTHODONTICS

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

THE EFFICACY OF ARTIFICIAL INTELLIGENCE-BASED VIRTUAL ASSISTANTS IN ANSWERING FREQUENT INQUIRIES CONCERNING ACCELERATED ORTHODONTICS

article en

Abstract

AIM: To evaluate the benefits of AI-based virtual assistants for improved compliance and treatment results due to availability of knowledge based on evidence without need to consult an orthodontist.OBJECTIVES: To assess effectiveness and usefulness of four AI-powered virtual assistants that can be controlled by speech (Alexa, Google Assistant, Siri, and Cortana) in responding to frequently requested patient inquiries about Accelerated orthodontics

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 63%
Artificial Intelligence in Healthcare and Education
DOIOpen Access PDFOpenAlex
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THE EFFICACY OF ARTIFICIAL INTELLIGENCE-BASED VIRTUAL ASSISTANTS IN ANSWERING FREQUENT INQUIRIES CONCERNING ACCELERATED ORTHODONTICS · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS