Generative artificial intelligence in otolaryngology–head and neck surgery editorial: be an actor of the future or follower

European Archives of Oto-Rhino-Laryngology, Journal Year: 2024, Volume and Issue: 281(4), P. 2051 - 2053

Published: Feb. 26, 2024

Otolaryngology stands on the precipice of an era innovation, poised to integrate Artificial Intelligence (AI) and chatbots into its research framework.AI has potential use vast datasets improve precision in diagnosis, early detection diseases, treatment planning, patient monitoring.Machine learning algorithms can analyze vocal nuances beyond human perception, allowing for earlier intervention improved outcomes.Moreover, could revolutionize interaction.In postoperative care or during management chronic otolaryngological disorders, chatbots, such as ChatGPT (OpenAI, San Francisco, USA), facilitate real-time symptom tracking deliver instant advice.This not only enhances compliance but also bridges communication gap outside clinical environment.Furthermore, AI-powered tools sift through literature, propose hypotheses, even predict

Language: Английский

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Artificial intelligence chatbots in transfusion medicine: A cross‐sectional study

Vox Sanguinis, Journal Year: 2025, Volume and Issue: unknown

Published: March 5, 2025

The recent rise of artificial intelligence (AI) chatbots has attracted many users worldwide. However, expert evaluation is essential before relying on them for transfusion medicine (TM)-related information. This study aims to evaluate the performance AI accuracy, correctness, completeness and safety. Six (ChatGPT 4, ChatGPT 4-o, Gemini Advanced, Copilot, Anthropic Claude 3.5 Sonnet, Meta AI) were tested using TM-related prompts at two time points, 30 days apart. Their responses assessed by four TM experts. Evaluators' scores underwent inter-rater reliability testing. Responses from Day compared with those 1 consistency potential evolution over time. All six exhibited some level inconsistency varying degrees in their days. None provided entirely correct, complete or safe answers all questions. Among tested, 4-o Sonnet demonstrated highest accuracy consistency, while Microsoft Copilot Google Advanced showed greatest responses. As a limitation, 30-day period may be too short precise assessment chatbot evolution. At conduct this study, none fully reliable, prompts. show promise future integration into practices. Given variability ongoing development, should not yet relied upon as authoritative sources without validation.

Language: Английский

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Generative AI-Driven Decision-Making for Disease Control and Pandemic Preparedness Model 4.0 in Rural Communities of Bangladesh: Management Informatics Approach

European Journal of Medical and Health Research, Journal Year: 2025, Volume and Issue: 3(2), P. 104 - 121

Published: March 20, 2025

Rural Bangladesh is confronted with substantial healthcare obstacles, such as inadequate infrastructure, information systems, and restricted access to medical personnel. These obstacles impede effective disease control pandemic preparedness. This investigation employs a structured methodology develop analyze numerous plausible scenarios systematically. A purposive sampling strategy was implemented, which involved the administration of questionnaire survey 264 rural residents in Rangamati district completion distinct by 103 The impact effectiveness study are assessed through logistic regression analysis pre-post comparison that Wilcoxon Signed-Rank test Kendall's coefficient for non-parametric paired categorical variables. evaluates evolution preparedness prior subsequent implementation Generative AI-Based Model 4.0. results indicate trust AI (β = 1.20, p 0.020) confidence sharing health data 9.049, most significant predictors adoption. At same time, infrastructure limitations digital constraints continue be constraints. concludes resilience marginalized populations can improved AI-driven, localized strategies. integration into systems offers transformative opportunity, but it contingent upon active community engagement, enhanced literacy, strong government involvement.

Language: Английский

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Accuracy of ChatGPT responses on tracheotomy for patient education

European Archives of Oto-Rhino-Laryngology, Journal Year: 2024, Volume and Issue: 281(11), P. 6167 - 6172

Published: Oct. 2, 2024

Language: Английский

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