Evidence map›Paper›PMID 42197738›Full record

ArticleSensors (Basel, Switzerland)2026

AI-Guided Inflatable Neck Brace for Personalized Cervical Support.

Abderrezaq Chemmami, Lyamine Guezouli, Aymen Ahmed Houasnia, Nabil Djenfi, Mohammed Amine Merzoug, Meriem Outtas, Djallel Eddine Boubiche, Homero Toral-Cruz, Rafael Martínez-Peláez, Francisco Méndez-Martínez and 1 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Abderrezaq ChemmamiLEREESI Laboratory, HNS-RE2SD, Batna 05000, Algeria.ORCID 0009-0009-4443-5958
Lyamine GuezouliLEREESI Laboratory, HNS-RE2SD, Batna 05000, Algeria.ORCID 0000-0002-7406-7633
Aymen Ahmed HouasniaLEREESI Laboratory, HNS-RE2SD, Batna 05000, Algeria.
Nabil DjenfiMedicine Department, University of Batna 2, Constantine Road, Fesdis, Batna 05078, Algeria.ORCID 0009-0001-4209-8785
Mohammed Amine MerzougComputer Science Department, University of Batna 2, Batna 05078, Algeria.ORCID 0000-0002-5316-6456
Meriem OuttasUniv. Rennes, INSA Rennes, CNRS, IETR-UMR 6164, 35700 Rennes, France.ORCID 0000-0002-0918-1990
Djallel Eddine BoubicheLEREESI Laboratory, HNS-RE2SD, Batna 05000, Algeria.ORCID 0000-0002-1566-3005
Homero Toral-CruzDepartamento de Ingeniería y Tecnología, Universidad Autónoma del Estado de Quintana Roo, Chetumal 77019, Mexico.ORCID 0000-0002-4421-3775
Rafael Martínez-PeláezUnidad Académica de Computación, Universidad Politécnica de Sinaloa, Mazatlán 82199, Mexico.ORCID 0000-0003-2188-9892
Francisco Méndez-MartínezFacultad de Ingeniería y Arquitectura, Universidad Autónoma del Carmen, Ciudad del Carmen, Campeche 24180, Mexico.ORCID 0000-0002-0923-3025
Manuel May-AlarcónFacultad de Ingeniería y Arquitectura, Universidad Autónoma del Carmen, Ciudad del Carmen, Campeche 24180, Mexico.ORCID 0000-0003-1586-4496

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many people suffer from cervical disc herniation, which significantly affects the lives of individuals, causing chronic pain and functional limitations. This paper presents the development and evaluation of an AI-powered inflatable neck collar designed to provide personalized and adaptive support for individuals experiencing neck pain, particularly those with disc herniations. The system seamlessly integrates motion sensors, a robust AI model trained on a dataset of MRI scans, and a custom-designed inflatable collar. The AI model accurately detects disc herniations and segments vertebral structures, enabling real-time, targeted inflation adjustments based on the user's unique anatomy, posture, and movements. A user-centered design approach ensures a seamless and intuitive user experience, allowing for personalized profile management, control over inflation levels, and data logging for tracking progress. Extensive simulations using 3D models and real-time data flow systems validated the effectiveness of the AI-guided system. Results demonstrated accurate detection and segmentation of disc herniations, robust real-time response, and adaptability to user needs. The proposed system, reviewed and validated by a neurosurgeon, demonstrates significant potential as a novel and effective solution for personalized treatment of neck pain, particularly in cases of disc herniation. Further development and research will focus on expanding the dataset to improve fairness and accuracy for diverse demographics and increasing the robustness and generalizability of the system.

Indexed as

Artificial IntelligenceBracesCervical VertebraeIntervertebral Disc DisplacementNeck PainHumansMagnetic Resonance ImagingAI-powered neck bracecervical disc herniationintelligent rehabilitationneck pain managementpersonalized supportwearable technology

Identifiers

PMID42197738
PMCPMC13210526

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.