Generative artificial intelligence powered chatbots in urology

Current Opinion in Urology, Journal Year: 2025, Volume and Issue: unknown

Published: March 19, 2025

Purpose of review The integration artificial intelligence (AI) into healthcare has significantly impacted the way is delivered, particularly with generative AI-powered chatbots. This aims to provide an analysis application, benefits, challenges and future chatbots in Urology. Recent findings advancements AI have led significant improvements chatbot performance applicability healthcare. Generative shown promise patient education, symptom assessment, administrative tasks, clinical decision-making urology. Studies demonstrate their ability reduce clinic burden, improve satisfaction, enhance accessibility. However, concerns remain about accuracy, data privacy, workflows. Summary Increasing number studies urological practice. As technology advances, likely integrate multiple aspects Concerns will need be examined before safe implementation.

Language: Английский

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Can AI Teach Sex Ed? A Systematic Review of the Use of Artificial Intelligence in Sexual and Reproductive Health Education

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 26, 2025

Background: Artificial intelligence (AI) is evolving and expanding at an unprecedented rate across healthcare education. AI for sexual health education has the potential to reduce stigma, provide convenience many populations of all genders, sexualities, ages who were previously receiving insufficient or outdated information, resources needed this essential The aim systematic review assess acceptability, feasibility, impact generative in reproductive Methods: We searched PubMed, Web Science, Scopus August 2024 combining artificial search terms. included experimental observational studies any analysis technique published between 01/01/2014-8/16/2024. Data was managed Covidence. Screening extraction utilized two non-expert reviewers. Quality assessment Mixed Methods Appraisal Tool reporting adhered Preferred Reporting Items Systematic Reviews Meta-Analysis (PRISMA) checklist. Results: Initial database yielded 4,044 records, 21 full-text articles meeting inclusion criteria. All studies. 146,990 individual participants (mean=7000, median=100) from eight countries. Five (23.8%) compared chatbot another format sex Eighteen assessed 12 13 impact. Users primarily seek factual find chatbot's responses easy understand, appreciate immediate human responses. helps users exercise rights, discuss feelings/needs, learn information about HIV family planning. However, differ tone empathy than require long reading times. While chatbots are generally viewed as clinically safe hold providing accessible show skepticism their credibility sensitive topics interactions. Conclusions: Usage surpassing high-quality evidence its initial promise presenting high-quality, randomized with comparator groups before can be trusted successfully deliver such

Language: Английский

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Revisión sistemática de programas de prevención de embarazo adolescente mediante páginas web y chatbots

Revista Panamericana de Salud Pública, Journal Year: 2025, Volume and Issue: 49, P. 1 - 1

Published: April 12, 2025

Evaluar la eficacia de los chatbots basados en inteligencia artificial (IA) prevención del embarazo adolescente, comparación con métodos tradicionales educación sexual o ausencia intervención. Se realizó una revisión sistemática base las directrices PRISMA estrategia preguntas el formato población, intervención, comparador, resultados, tiempo datos (PICOT-D), que se incluyeron estudios originales publicados entre enero 2010 diciembre 2024. La búsqueda efectuó bases como PubMed, Cochrane Library, EMBASE SCOPUS; utilizaron descriptores DeCS MeSH. Los gestionaron Rayyan^® un formulario Excel^®. registró protocolo PROSPERO (CRD42024580136). analizaron 14 10 018 participantes (71,1% eran mujeres). demostraron alta usabilidad (77,7 puntos escala SUS, percentil 82). Del total usuarios, 83% interactuaron chatbot, 46% iniciaron anticonceptivos hormonales 56,8% calificaron fáciles comprender. observó aumento significativo uso (razón posibilidades ajustada [aOR, por su sigla inglés] = 1,60; p 0,02) preservativos (aOR 1,48; <0,001). También hubo mejoras conocimiento sobre anticoncepción emergencia (57,3% versus 47,5%; p <0,01) acceso a servicios (95,6% 91,8%; 0,01). IA son eficaces para prevenir adolescente presentan complemento clave sexual.

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"Kya family planning after marriage hoti hai?": Integrating Cultural Sensitivity in an LLM Chatbot for Reproductive Health

Published: April 24, 2025

Language: Английский

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AI-Driven Decision-Making in Healthcare Information Systems: A Comprehensive Review

Journal of Systems and Software, Journal Year: 2025, Volume and Issue: unknown, P. 112470 - 112470

Published: April 1, 2025

Language: Английский

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