Enhancing happiness and well-being: AI-driven solutions for accessible, inclusive travel experiences for people with disabilities DOI
Jorge Alberto Mariño Romero,

Rafael Robina-Ramírez,

Juan Antonio Pavón‐Pérez

et al.

Disability and Rehabilitation Assistive Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 12

Published: April 12, 2025

This study explores the relationship between happiness and well-being, with a particular focus on how Artificial Intelligence (AI) serves as catalyst for enhancing quality of life individuals disabilities. The research aims to analyze impact personal values, social interactions, external conditions, including AI-driven assistive technologies, subjective well-being. A quantitative approach was adopted, utilizing Smart-PLS relationships AI-based interventions, accessibility, study's sample consisted 780 employees selected randomly from 50 disability centers across Spain. Data were collected through structured surveys measuring AI-powered technologies-such smart navigation systems, virtual assistants, personalized travel recommendations-on autonomy, satisfaction in tourism settings. Findings indicate that tools tourism, such mobility solutions, customer service, adaptive planning significantly enhance well-being AI fosters greater independence, reduces travel-related stress, strengthens connections, making more inclusive enjoyable. While economic stability health conditions remain important, accessibility solutions engagement emerged strongest predictors among travelers highlights critical role technologies promoting accessible emphasizing their mental participation. results suggest investing innovations can improve experiences people disabilities, fostering sector. However, emotional is lacking, connection, freedom cultural immersion, which limits its happiness.

Language: Английский

Is Artificial Intelligence the Next Co-Pilot for Primary Care in Diagnosing and Recommending Treatments for Depression? DOI Creative Commons
Inbar Levkovich

Medical Sciences, Journal Year: 2025, Volume and Issue: 13(1), P. 8 - 8

Published: Jan. 11, 2025

Depression poses significant challenges to global healthcare systems and impacts the quality of life individuals their family members. Recent advancements in artificial intelligence (AI) have had a transformative impact on diagnosis treatment depression. These innovations potential significantly enhance clinical decision-making processes improve patient outcomes settings. AI-powered tools can analyze extensive data—including medical records, genetic information, behavioral patterns—to identify early warning signs depression, thereby enhancing diagnostic accuracy. By recognizing subtle indicators that traditional assessments may overlook, these enable providers make timely precise decisions are crucial preventing onset or escalation depressive episodes. In terms treatment, AI algorithms assist personalizing therapeutic interventions by predicting effectiveness various approaches for individual patients based unique characteristics history. This includes recommending tailored plans consider patient’s specific symptoms. Such personalized strategies aim optimize overall efficiency healthcare. theoretical review uniquely synthesizes current evidence applications primary care depression management, offering comprehensive analysis both personalization capabilities. Alongside advancements, we also address conflicting findings field presence biases necessitate important limitations.

Language: Английский

Citations

1
An Overview of Tools and Technologies for Anxiety and Depression Management Using AI DOI Open Access

Adrianos Pavlopoulos,

Theodoros Rachiotis, Ilias Maglogiannis

et al.

Published: Aug. 13, 2024

This study aims to evaluate the utilization and effectiveness of artificial intelligence (AI) applications in managing symptoms anxiety depression. The primary objectives are identify current AI tools, analyze their practicality efficacy, assess potential benefits risks. A comprehensive literature review was conducted using databases such as ScienceDirect, Google Scholar, PubMed, ResearchGate, focusing on publications from last five years. search utilized keywords including "artificial intelligence," "applications," "mental health," "anxiety," "LLMs" "depression". Various chatbots, mobile applications, wearables, virtual reality settings, large language models (LLMs), were examined categorized based functions mental health care. findings indicate that LLMs, show significant promise symptom management, offering accessible personalized interventions can complement traditional treatments. Tools AI-driven apps, LLMs have demonstrated efficacy reducing depression, improving user engagement outcomes. particular, shown enhancing therapeutic diagnostic treatment plans by providing immediate support resources, thus workload professionals. However, limitations include concerns over data privacy, for over-reliance technology, need human oversight ensure Ethical considerations, security balance between interaction, also addressed. concludes while AI, has significantly aid care, it should be used a to, rather than replacement for, therapists. Future research focus measures, integrating tools with methods, exploring long-term effects health. Further investigation is needed across diverse populations settings.

Language: Английский

Citations

4
Artificial Intelligence (AI) Adoption and Implementation Challenges in Indian Healthcare Sector DOI
Kilaru Madhavi, Rajasekhara Mouly Potluri

Published: Jan. 1, 2025

Language: Английский

Citations

0
Enhancing happiness and well-being: AI-driven solutions for accessible, inclusive travel experiences for people with disabilities DOI
Jorge Alberto Mariño Romero,

Rafael Robina-Ramírez,

Juan Antonio Pavón‐Pérez

et al.

Disability and Rehabilitation Assistive Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 12

Published: April 12, 2025

This study explores the relationship between happiness and well-being, with a particular focus on how Artificial Intelligence (AI) serves as catalyst for enhancing quality of life individuals disabilities. The research aims to analyze impact personal values, social interactions, external conditions, including AI-driven assistive technologies, subjective well-being. A quantitative approach was adopted, utilizing Smart-PLS relationships AI-based interventions, accessibility, study's sample consisted 780 employees selected randomly from 50 disability centers across Spain. Data were collected through structured surveys measuring AI-powered technologies-such smart navigation systems, virtual assistants, personalized travel recommendations-on autonomy, satisfaction in tourism settings. Findings indicate that tools tourism, such mobility solutions, customer service, adaptive planning significantly enhance well-being AI fosters greater independence, reduces travel-related stress, strengthens connections, making more inclusive enjoyable. While economic stability health conditions remain important, accessibility solutions engagement emerged strongest predictors among travelers highlights critical role technologies promoting accessible emphasizing their mental participation. results suggest investing innovations can improve experiences people disabilities, fostering sector. However, emotional is lacking, connection, freedom cultural immersion, which limits its happiness.

Language: Английский

Citations

0