ArticleJournal of multidisciplinary healthcare2025
Development of an AI-Integrated Smart Helmet for Motorcycle Accident Prevention: A Feasibility Study.
Article in Journal of multidisciplinary healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Smart Safety Helmets with Integrated Vision Systems for Industrial Infrastructure Inspection: A Comprehensive Review of VSLAM-Enabled Technologies.Sensors (Basel, Switzerland) · 2025Review
- Enhancing Emergency Medical Services with Smart Glasses Technology for Optimal Ambulance Positioning in Simulated Critical Patient Care Scenarios.Journal of multidisciplinary healthcare · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The purpose of this research was to develop a smart helmet, including emphasizing the AI integration and the device's role in enhancing road safety with a mechanism that stimulates the driver to recognize which vehicle is approaching and the speed levels of the vehicle while it is moving, and to assess the satisfaction and feasibility of drivers while using the smart helmet. Methods: This study included 139 participants who were general people in Thailand. The research model consists of four research and development steps: research, design and development, implementation, and evaluation. The questionnaires included general information, satisfaction, and feasibility of using a smart helmet. Results: The study showed that males had a greater number of participants (63.31%), aged between 21 and 40 years (64.03%), higher education (73.38%), and most of the participants were university students (90.64%). Overall, satisfaction with using smart helmets was high (mean = 4.20, SD = 0.83), and the overall possibility of using smart helmets was very high (mean = 4.33, SD = 0.75). Conclusion: The participants' reflections indicated that smart helmets can be a possibility for further development and are highly feasible practical application devices. Moreover, the smart helmet is beneficial to riders in terms of warning functions to prevent and monitor accidents. Nurses and health care providers may use these results to develop programs or devices that can encourage people to be aware of harm on the road while riding motorcycles.
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Registered trials
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.