Evidence map›Paper›PMID 40678490›Full record

ArticleFrontiers in robotics and AI2025

Rehabilitation robotics and allied digital technologies: opportunities, barriers and solutions for improving their clinical implementation. A position paper from the Fit for Medical Robotics Initiative.

Irene Giovanna Aprile, Silvana Quaglini, Giuseppe Turchetti, Leandro Pecchia, Giovanni Comandè, Furio Gramatica, Emanuele Gruppioni, Giuseppina Sgandurra, Christian Cipriani, Fit4Mission1 group

Abstract read
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Article in Frontiers in robotics and AI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  3. Review
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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

10 authors.

Irene Giovanna AprileNeurorehabilitation Department, IRCCS Fondazione Don Carlo Gnocchi ONLUS, Florence, Italy.
Silvana QuagliniDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
Giuseppe TurchettiInstitute of Management, Scuola Superiore Sant'Anna, Pisa, Italy.
Leandro PecchiaSchool of Engineering, University of Warwick, Coventry, United Kingdom.
Giovanni ComandèInstitute of Management, Scuola Superiore Sant'Anna, Pisa, Italy.
Furio GramaticaDevelopment and Innovation Department, IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.
Emanuele GruppioniResearch and Training Area of the INAIL Prosthetics, Centro Protesi INAIL, Istituto Nazionale Assicurazione Contro Gli Infortuni sul Lavoro, Bologna, Italy.
Giuseppina SgandurraDepartment of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Pisa, Italy.
Christian CiprianiBioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Italy.
Fit4Mission1 group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotics has been proposed as a promising solution for treating individuals with motor, sensory, and/or cognitive disabilities. Despite the great technological effort put into this field, the translation of robots from the laboratory to the clinical environment is not a seamless and smooth process, and their real-world adoption remains limited. Several barriers to the introduction of robotics in clinical practice have been identified, including a lack of sufficient scientific evidence about its actual cost/effectiveness, resistance to adopting these technologies, and economic, ethical, and regulatory restraints. Fit for Medical Robotics (Fit4MedRob) is an ambitious Initiative designed to bridge the gap between technological innovation and clinical application. One of the main goals of the Initiative is to conduct large-scale pragmatic trials to evaluate the effectiveness and the sustainability of commercially available robotic solutions. To guide the design of these trials, different online surveys have been implemented and delivered to identify the needs of healthcare practitioners and patients at different phases of the disease (acute to chronic) and therapeutic settings (hospital to home care). The results of the Initiative will suggest new organizational models to effectively introduce robotics-assisted rehabilitation into clinical practice. The paper will report on the opportunities of robotics for rehabilitation, the barriers to their clinical implementation, and the proposal of Fit4MedRob to overcome such limitations and facilitate the effective clinical implementation of robotic solutions.

Indexed as

clinical translationdigital technologieshealthcare technologiespragmatic clinical trialsrehabilitationrobotics

Identifiers

PMID40678490
PMCPMC12268264

What OpenQuestion holds

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LicenceCC BY
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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.