Enhancing education for children with ASD: a review of evaluation and measurement in AI tool implementation

Disability and Rehabilitation Assistive Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 18

Published: March 13, 2025

This article addresses the gaps in current research regarding use of artificial intelligence (AI) tools to educate children with autism spectrum disorder (ASD). The proposed metrics are specifically designed evaluate progress learning AI-assisted education, considering unique needs this demographic. review highlights potential long-term impact studies determine lasting effects AI on social skills, emotional development, and overall academic achievement. ethical considerations surrounding intervention autistic education thoroughly examined. By combining diverse methodologies utilized existing studies, a comprehensive analysis challenges is presented, along interdisciplinary approaches for improvement that can serve as roadmap future research. manuscript provides innovative perspectives, bridges gaps, advocates effective integration educating ASD.

Language: Английский

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Integrating AI and Assistive Technologies in Healthcare: Insights from a Narrative Review of Reviews

Healthcare, Journal Year: 2025, Volume and Issue: 13(5), P. 556 - 556

Published: March 4, 2025

The integration of artificial intelligence (AI) into assistive technologies is an emerging field with transformative potential, aimed at enhancing autonomy and quality life for individuals disabilities aging populations. This overview reviews, utilizing a standardized checklist control procedures, examines recent advancements future implications in this domain. search articles the review was finalized by 15 December 2024. Nineteen studies were selected through systematic process identifying prevailing themes, opportunities, challenges, recommendations regarding AI technologies. First, increasingly central to improving mobility, healthcare diagnostics, cognitive support, enabling personalized adaptive solutions users. traditional technologies, such as smart wheelchairs exoskeletons, enhances their performance, creating more intuitive responsive devices. Additionally, inclusion children autism spectrum disorders, promoting social interaction development innovative also identifies significant opportunities challenges. AI-powered offer enormous potential increase independence, reduce reliance on external improve communication disorders. However, challenges personalization, digital literacy among elderly, privacy concerns contexts need be addressed. Notably, itself expanding concept technology, shifting from tools intelligent systems capable learning adapting individual needs. evolution represents fundamental change emphasizing dynamic, over static solutions. Finally, study emphasizes growing economic investment sector, forecasting market growth, AI-driven devices poised transform landscape. Despite high costs regulatory hurdles, innovation affordability remain. underscores importance addressing related standardization, accessibility, ethical considerations ensure successful fostering greater inclusivity improved users globally.

Language: Английский

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Joint Expedition: Exploring the Intersection of Digital Health and AI in Precision Medicine with Team Integration

Journal of Personalized Medicine, Journal Year: 2024, Volume and Issue: 14(4), P. 388 - 388

Published: April 4, 2024

Precision medicine stands as a transformative force in the orbit of healthcare, fundamentally reshaping traditional approaches by customizing therapeutic interventions to align with distinctive attributes individual patients [...].

Language: Английский

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Reimagining Radiology: A Comprehensive Overview of Reviews at the Intersection of Mobile and Domiciliary Radiology over the Last Five Years

Bioengineering, Journal Year: 2024, Volume and Issue: 11(3), P. 216 - 216

Published: Feb. 24, 2024

(Background) Domiciliary radiology, which originated in pioneering studies 1958, has transformed healthcare, particularly during the COVID-19 pandemic, through advancements such as miniaturization and digitization. This evolution, driven by synergy of advanced technologies robust data networks, reshapes intersection domiciliary radiology mobile technology healthcare delivery. (Objective) The objective this study is to overview reviews field with reference last five years face state development integration practice health domain. (Methods) A review was conducted on PubMed Scopus, applying a standard checklist qualification process. outcome detected 21 studies. (Key Content Findings) exploration unveils compelling optimistic perspective. Notable strides dynamic include Artificial Intelligence (AI), revolutionary applications telemedicine, educational potential devices. Post-COVID-19, telemedicine advances influential role AI pediatric signify significant progress. Mobile mammography units emerge solution for underserved women, highlighting crucial importance early breast cancer detection. investigation into especially X-ray equipment, points toward promising frontier, prompting in-depth research comprehensive insights its benefits diverse populations. also identifies limitations suggests future various domains radiology. key recommendation stresses strategic prioritization multi-domain assessment initiatives, scientific societies’ endorsement, emphasizing regulatory considerations responsible ethical practices. broader landscape should aim be innovative, ethical, aligned societal needs standards. (Conclusions) evident, active new frontiers. provides roadmap, urging scholars, industry players, regulators collectively contribute further

Language: Английский

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Unlocking autism’s complexity: the Move Initiative’s path to comprehensive motor function analysis

Frontiers in Integrative Neuroscience, Journal Year: 2025, Volume and Issue: 18

Published: Jan. 21, 2025

The long-standing practice of using manualized inventories and observational assessments to diagnose track motor function in autism overlooks critical data invisible the naked eye. This subjective approach can introduce biases hinder translation research into clinical applications that rely on objective markers brain–body connections. Meanwhile, we are experiencing a digital healthcare revolution, marked by innovations collection analysis electronic health records, personal genomes, diverse physiological measurements. Advanced technologies, including current wearable devices, integrate both active passive (sensor-based) collection, providing more comprehensive view human health. Despite advances sensors, wearables, algorithms, machine learning, agentic AI, remains siloed, with many tools inaccessible affected families care teams. There is pressing need merge these technological expedite their accessible, scalable solutions diversify scientific understanding. In response, this Perspective introduces Move Initiative, coalition spearheaded nonprofit 2 m Foundation, composed self-advocates, families, clinicians, researchers, entrepreneurs, investors who aim advance refine measurement movement autism. will make screenings dynamic longitudinal while supporting continuous assessment targeted interventions. By fostering cross-disciplinary collaboration, seeks accelerate integration expanding knowledge base widespread practice. Deep, longitudinal, multi-modal profiling individuals Autism Spectrum Disorder offers an opportunity address gaps methods, enabling new avenues inquiry understanding complex, heterogeneous condition.

Language: Английский

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Embracing the Future: Artificial Intelligence in the Provision of Pre-Employment Transition Services to Autistic and Neurodivergent Youth

Journal of Vocational Rehabilitation, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

Background Transition-aged youth with autism and other neurodiversities face high levels of unemployment underemployment can benefit from pre-employment transition services to improve long-term outcomes. While the mainstream proliferation artificial intelligence tools has garnered global attention over last year, there is a growing body research exploring how these technologies be used enhance communication workplace readiness skills for transition-aged youth. Objective This article examines current state technology integration into training neurodivergent autistic Method We completed scoping literature review across topic areas, Results found in this area rapid development flux. A total 27 articles were found. Specifically, describing needs related readiness. Our revealed promising advances use support social job-related pre-ETS. Conclusions The society provides an opportunity explore hone Stakeholders should engage participatory ethical practices develop implement strategies that employment outcomes population.

Language: Английский

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Using Artificial Intelligence to Improve Empathetic Statements in Autistic Adolescents and Adults: A Randomized Clinical Trial

Journal of Autism and Developmental Disorders, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 15, 2025

Challenges with social communication and interaction are a defining characteristic of autism spectrum disorder (ASD). These challenges frequently interfere making friendships, securing maintaining employment, can lead to co-occurring conditions. While face-to-face clinical interventions trained professionals be helpful in improving conversation, they costly unavailable many, particularly given the high prevalence ASD lack professional training. The purpose this study was assess whether an AI program using Large Language Model (LLM) would improve verbal empathetic responses during conversation. Autistic adolescents adults, 11–35 years age, who were able engage conversation but demonstrated participated study. A randomized trial design used effects (Noora) compared waitlist control group. Noora asks participants respond leading statements provides feedback on their answers. In study, asked 10 per day 5 days week for 4 weeks expected total 200 trials. Pre- post-intervention samples collected generalization natural Additionally pre- questionnaires regarding each participant's comfort participants' satisfaction collected. results that could greatly improved by short period time. Participants experimental group showed statistically significant improvements responses, which generalized Some reported confidence targeted areas most levels program. findings suggest LLMs thereby providing time- cost-efficient support autistic adults.

Language: Английский

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AI-Driven Personalized Healthcare Solutions

Advances in healthcare information systems and administration book series, Journal Year: 2025, Volume and Issue: unknown, P. 241 - 276

Published: Jan. 10, 2025

This study aims to explore the transformative potential of AI-driven personalized healthcare in enhancing patient outcomes and optimizing delivery. Utilizing a comprehensive literature review analysis current AI technologies, research identifies key areas such as data integration, machine learning algorithms, engagement strategies. The findings reveal that can significantly improve treatment accuracy, predict disease risks, foster adherence through tailored interventions. However, challenges related privacy, algorithmic bias, regulatory compliance must be addressed ensure equitable implementation. concludes while holds promise for revolutionizing healthcare, collaborative approach involving stakeholders is essential overcoming barriers maximizing benefits. implications this underscore need ongoing innovation ethical considerations deployment technologies settings.

Language: Английский

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Innovative Deep Learning Approaches in Autism Research

Published: Jan. 1, 2025

Language: Английский

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Editorial

Newborn, Journal Year: 2025, Volume and Issue: 4(1), P. iv - x

Published: March 25, 2025

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