Letter to the Editor: "How Can Biomedical Engineers Help Empower Individuals With Intellectual Disabilities? The Potential Benefits and Challenges of AI Technologies to Support Inclusivity and Transform Lives".

DI NUOVO, Alessandro (2023). Letter to the Editor: "How Can Biomedical Engineers Help Empower Individuals With Intellectual Disabilities? The Potential Benefits and Challenges of AI Technologies to Support Inclusivity and Transform Lives". IEEE journal of translational engineering in health and medicine, 12, 256-257.

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Abstract

The rapid advancement of Artificial Intelligence (AI) is transforming healthcare and daily life, offering great opportunities but also posing ethical and societal challenges. To ensure AI benefits all individuals, including those with intellectual disabilities, the focus should be on adaptive technology that can adapt to the unique needs of the user. Biomedical engineers have an interdisciplinary background that helps them to lead multidisciplinary teams in the development of human-centered AI solutions. These solutions can personalize learning, enhance communication, and improve accessibility for individuals with intellectual disabilities. Furthermore, AI can aid in healthcare research, diagnostics, and therapy. The ethical use of AI in healthcare and the collaboration of AI with human expertise must be emphasized. Public funding for inclusive research is encouraged, promoting equity and economic growth while empowering those with intellectual disabilities in society.

Item Type:	Article
Uncontrolled Keywords:	Humans; Communication; Biomedical Engineering; Technology; Artificial Intelligence; Intellectual Disability; Human-centered innovation; devices for dignity; equity; ethical AI; healthcare technologies; inclusion; socially assistive robotics; Humans; Intellectual Disability; Artificial Intelligence; Biomedical Engineering; Communication; Technology; 4003 Biomedical engineering; 4203 Health services and systems
Identification Number:	https://doi.org/10.1109/jtehm.2023.3331977
Page Range:	256-257
SWORD Depositor:	Symplectic Elements
Depositing User:	Symplectic Elements
Date Deposited:	13 Feb 2024 12:19
Last Modified:	13 Feb 2024 12:30
URI:	https://shura.shu.ac.uk/id/eprint/33189

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