Evidence map›Paper›PMID 42499995›Full record

ArticleNature machine intelligence2026

A dexterous soft hand exoskeleton restores intentional grasping in individuals with severe hand impairment.

John Nassour, Nicolas Berberich, Daniel Utpadel-Fischler, Tobias Wächter, Gordon Cheng

Abstract read
In one paragraph

Article in Nature machine intelligence, 2026. 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

5 authors.

John Nassour *Institute for Cognitive Systems, Technical University of Munich, Munich, Germany.ORCID 0000-0002-7208-1271
Nicolas Berberich *Institute for Cognitive Systems, Technical University of Munich, Munich, Germany.
Daniel Utpadel-FischlerDepartment of Neurology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
Tobias WächterDepartment of Neurology, Centre of Movement Disorders, Centre of Rehabilitation Passauer Wolf, Bad Goegging, Germany.ORCID 0009-0004-8664-1462
Gordon ChengInstitute for Cognitive Systems, Technical University of Munich, Munich, Germany.ORCID 0000-0003-0770-8717

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft hand exoskeletons have emerged as promising assistive devices for individuals with impaired hand function. However, most existing systems provide limited dexterity and primarily target users with moderate hand ability, leaving individuals with severe hand paralysis without effective solutions for reliable grasping of diverse objects. Here we report the translational development of a lightweight, textile-based soft robotic exoskeleton glove with wrist dorsiflexion and an active opposable and abductable thumb, designed to restore hand function in a patient with severe right-hand impairment due to amyotrophic lateral sclerosis. We followed a co-creation approach, enhancing dexterity by increasing hand articulations based on patient needs. Furthermore, to enhance the patient's sense of control, a non-invasive surface electromyography-based grasp predictor (97% sensitivity) was combined with motion data and machine learning-based error correction to compensate for weak, noisy muscle signals, compared with healthy controls (

Indexed as

Biomedical engineeringQuality of life

Identifiers

PMID42499995
PMCPMC13395625

What OpenQuestion holds

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Registered trials

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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.