Measurement of Perceived Quality in Conversational Systems (Chatbots)

Studies in computational intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 359 - 383

Published: Jan. 1, 2025

Language: Английский

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Ecosystem IADESCom for Conversational System Construction

Studies in computational intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 91 - 148

Published: Jan. 1, 2025

Language: Английский

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Chatbots in healthcare: A study of readability and response accuracy in answers to questions about hypertension. (Preprint)

Published: Oct. 23, 2024

AI-powered chatbots, using Large Language Models, may effectively answer questions from patients with hypertension, providing responses that are accurate, empathetic, and easy to read. This study evaluates the performance of three such chatbots in delivering quality responses. One hundred were randomly selected Reddit forum r/hypertension submitted publicly available (ChatGPT-3.5, Microsoft Copilot, Gemini), anonymized as A, B, C. Two independent medical professionals assessed accuracy empathy their Likert scales. Additionally, 300 analyzed WebFX readability tool measure various indices. In total, evaluated. Chatbot A generated most extensive responses, an average 13 sentences per reply, while B had shortest replies. C achieved highest score on Flesch Reading Ease Scale, indicating better readability, scored lowest. Other metrics, including Flesch-Kincaid Grade Level, Gunning Fog Score, others, also showed significant differences among reflecting variability readability. The indicates all can produce professional varies significantly. These findings underscore potential AI patient education. However, they highlight urgent need for further optimization enhance comprehensibility outputs.

Language: Английский

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THE USE OF GOOGLE SERVICES IN MEDICAL INFORMATICS PRACTICAL CLASSES FOR STUDENTS WITH AN ADVANCED STUDY OF ENGLISH LANGUAGE

Continuing Professional Education Theory and Practice, Journal Year: 2024, Volume and Issue: 80(3), P. 84 - 102

Published: Jan. 1, 2024

The study highlights the methodological aspects of using Google digital tools, which contribute to a more thorough formation practical skills in Medical Informatics process teaching students with an advanced English language. advantages cloud technologies for better presentation educational material while learning new knowledge are shown. effectiveness services organization and high-quality method assimilation large amount information by is substantiated specific examples. use following activities described: organize classes – Class; learn terminology, basic concepts topic Jamboard, Documents; control revise level Forms; perform video meetings Meet; master working artificial intelligence - Gemini AI; Cloud Healthcare deepening medical informatics training, interdisciplinary implementation familiarization specialized healthcare. Together, these tools provide opportunity intensify process, make its content qualitative convenient perception understanding, thus comparison traditional methods. diversifies improves teacher's work, helps actively involve creative processing material, creates additional conditions understanding received information.

Language: Английский

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COVID-19 health communication strategies for older adults: Chatbots and traditional media

Advances in Clinical and Experimental Medicine, Journal Year: 2024, Volume and Issue: 34(12), P. 0 - 0

Published: Dec. 16, 2024

Background.The coronavirus disease 2019 (COVID-19) pandemic has significantly accelerated the development and use of new healthcare technologies.While younger individuals may have been able to quickly embrace virtual advancements, older adults still different needs in terms health communication. Objectives.To identify areas interest preferred sources information related COVID-19 among verify their eHealth competencies. Materials methods.The study was conducted between February 2022 July 2022.It included listeners from University Third Age (U3A) students.Both groups received about HealthBuddy+ chatbot, a questionnaire that addressed respondents' interests COVID-19, PL-eHEALS (eHealth Literacy Scale) measure competencies.Results.There were 573 participants (U3A -303 participants, median age: 73 years (interquartile range (IQR): 69-77); young adult students -270, 24 (IQR: 23-24).The primary source for television (84.5%), adults, internet (84.4%).Among only 17% ever interacted with chatbot (younger -78% respectively), 19% considered it trustworthy on compared 79% respondents.Older our most interested treatment methods (45.5% 69.3%, symptoms (36.6% 35.2%, respectively) chronic diseases coexisting (35.0% 51.5%, respectively).However, competencies generally low (median (Me): 34; IQR: 30-39) (Me: 42; 40-47). Conclusions.Health education should be appropriately tailored current differentiated.The level suggests much work remains narrow gap generations.

Language: Английский

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Artificial Intelligence in Oncology

Applied Sciences, Journal Year: 2024, Volume and Issue: 15(1), P. 269 - 269

Published: Dec. 30, 2024

The aim of the article is to highlight key role artificial intelligence in modern oncology. search for scientific publications was carried out through following web engines: PubMed, PMC, Web Science, Scopus, Embase and Ebsco. Artificial plays a special oncology considered be future largest application diagnostics (more than 80%), particularly radiology pathology. This can help oncologists not only detect cancer at an early stage but also forecast possible development disease by using predictive models. clinical trials. AI makes it accelerate discovery new drugs, even if necessarily successfully. done detecting molecules. enables patient recruitment combining diverse demographic medical data match requirements given research protocol. reducing population heterogeneity, or prognostic enrichment. effectiveness depends on continuous learning system based large amounts requires resolution some ethical legal issues.

Language: Английский

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Understanding the Usability and Response Quality of Artificial Intelligence Chatbots on Customer Engagement in Branded Apparel E-Retailing

Advances in logistics, operations, and management science book series, Journal Year: 2024, Volume and Issue: unknown, P. 403 - 420

Published: Dec. 20, 2024

Chatbots are convenient, any time available, and provide instant solutions to customers along with being cost-effective operationally efficient for the organisations. The rapid evolution of AI-based chatbots has enhanced overall customer shopping experience in online retailing both goods services. current study explores response quality AI chatbots, usability artificial intelligent on engagement branded apparel, how it makes a memorable experience.

Language: Английский

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