Evidence map›Paper›PMID 41229932›Full record

ReviewDigital health

Industry 5.0 adaptation for disability-inclusive healthcare: A review of emergent and AI technologies for assistive digital health.

Mohamed Kchaou, Yamuna Munusamy, Khalid Ayed Alharthi, Akram Fadhl Al-Mahmodi

Abstract readReview
In one paragraph

Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mohamed KchaouDepartment of Industrial Engineering, College of Engineering, University of Bisha, Bisha, Saudi Arabia.ORCID https://orcid.org/0000-0001-5359-9350
Yamuna MunusamyDepartment of Chemical Engineering, Faculty of Engineering and Green Technology, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, Kampar, Perak, Malaysia.
Khalid Ayed AlharthiDepartment of Computer Science, College of Computing, University of Bisha, Bisha, Saudi Arabia.
Akram Fadhl Al-MahmodiDepartment of Chemical Engineering, Faculty of Engineering and Green Technology, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, Kampar, Perak, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Industry 5.0 is reshaping healthcare through human-centric design, sustainability, and advanced technologies. However, there is limited insight into how these innovations address the specific needs of people with disabilities. This review aims to examine the role of emerging and AI-driven technologies in enabling disability-inclusive digital healthcare solutions. A comprehensive scoping review was conducted, focusing on studies published in recent years on Industry 5.0 technologies applied to disability-inclusive digital healthcare pathways. Key technologies reviewed include collaborative robotics, virtual reality, telemedicine, and human-centered artificial intelligence. Relevant case studies and ethical considerations were also analysed. The analysis highlighted that Industry 5.0 technologies show promise in enhancing diagnostic accuracy, personalization, and accessibility for people with disabilities. Applications include remote assessments, assistive tools, and adaptive interfaces that improve diagnostic processes. Despite this progress, integration of these technologies remains fragmented, and challenges such as ethical concerns, regulatory barriers, and inclusive design persist. This review uniquely synthesizes these technologies within the framework of Industry 5.0, offering a broader perspective than prior single-technology reviews and proposing a roadmap for the successful implementation that incorporates training, regulatory alignment, interdisciplinary collaboration, social-economic barriers, real-world evidence, and inclusivity across disability types. As conclusion, Industry 5.0 holds significant promise for advancing disability-inclusive digital healthcare. Realizing this potential, however, requires coordinated efforts to address integration gaps, strengthen ethical and regulatory frameworks, and embed user-centered co-design principles. Future research should focus on more developing inclusive, and sustainable diagnostic solutions aligned with Industry 5.0 principles.

Indexed as

artificial intelligencedigital solutionsdisability-inclusive diagnosticsIndustry 5.0virtual reality

Identifiers

PMID41229932
PMCPMC12602968

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.