Evidence map›Paper›PMID 41767343›Full record

ArticleFrontiers in digital health2025

Accelerating digital innovation in clinical neuropsychology: simulation approach to support medical device certification.

Andrea Panzavolta, Federico Sternini, Paolo Caffarra, Dalila De Vita, Alessandra Dodich, Cristina Fonti, Federica L'Abbate, Luigi Lavorgna, Valentina Laganà, Camillo Marra and 11 more

Abstract read
In one paragraph

Article in Frontiers in digital health, 2025. 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

21 authors.

Andrea PanzavoltaIUSS Cognitive Neuroscience (ICoN) Center, Scuola Universitaria di Studi Superiori IUSS, Pavia, Italy.
Federico SterniniInsideAI srl, I3P Politecnico di Torino, Torino, Italy.
Paolo CaffarraMembro Esperto Tavolo Permanente Sulle Demenze del Ministero Della Salute, Rome, Italy.
Dalila De VitaDepartment of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy.
Alessandra DodichCenter for Mind/Brain Sciences (CIMeC), University of Trento, Rovereto, Italy.
Cristina FontiIRCCS, Istituto Delle Scienze Neurologiche di Bologna, Bologna, Italy.
Federica L'AbbateNeurology Unit, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy.
Luigi LavorgnaClinica NeurologicaI, Azienda Ospedaliera Universitaria, Università Della Campania "Luigi Vanvitelli", Naples, Italy.
Valentina LaganàAssociazione per la Ricerca Neurogenetica odv, Lamezia Terme, Italy.
Camillo MarraNeurology Unit, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy.
Costanza PapagnoCenter for Mind/Brain Sciences (CIMeC), University of Trento, Rovereto, Italy.
Francesca Ferrari PellegriniGeriatric Clinic Unit, Medical Geriatric Rehabilitative Department, University Hospital of Parma, Parma, Italy.
Andrea StracciariMembro Esperto Tavolo Permanente Sulle Demenze del Ministero Della Salute, Rome, Italy.
Luigi TrojanoDepartment of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy.
Tiziana IaquintaXenia Reply, Milan, Italy.
Roberta PandolfiBiogen Italy, Milan, Italy.
Monica CaloreBiogen Italy, Milan, Italy.
Sveva SanzoneBiogen Italy, Milan, Italy.
Alice RavizzaInsideAI srl, I3P Politecnico di Torino, Torino, Italy.
Stefano F CappaIUSS Cognitive Neuroscience (ICoN) Center, Scuola Universitaria di Studi Superiori IUSS, Pavia, Italy.
Chiara CeramiIUSS Cognitive Neuroscience (ICoN) Center, Scuola Universitaria di Studi Superiori IUSS, Pavia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In recent years, the focus on digitization of neuropsychological procedures in memory clinics has become paramount. Several teleneuropsychology platforms have been developed for testing patients with cognitive deficits, but only a few have been registered as medical devices (MD) being available in clinical practice. Hereby, we present a simulation-based novel approach designed to test technical performance and provide pre-clinical validation of a novel teleneuropsychology platform (i.e., Tenèpsia®) as required for the certification of Software as a Medical Device (SaMD) under the European regulation 2017/745 (MDR). Methods: Six dummy cognitive profiles simulating virtual patients with different cognitive performances were created. Five internal and two external experts evaluated simulated performances for representativeness, coherence and credibility. Results: One cognitively unimpaired and five mild cognitive impairment (MCI) profiles were considered. Demographic features and target cognitive scores were derived by reference literature for each simulated user. Representativeness was rated as more than 75% accurate by internal and external experts. Coherence and credibility were considered adequate to support SaMD certification. Conclusions: Certification of digital solutions as SaMD may require costly and time-consuming validation procedures. Simulation-based approach based on synthetic data is a valid method to overcome this limitation, that can be easily implemented to test platform, accelerating innovation in teleneuropsychology and providing adequate evidence of safety, efficacy and long-term comparability with the standard of care.

Indexed as

Alzheimerdigital healthmild cognitive impairmentSaMDteleneuropsychology

Identifiers

PMID41767343
PMCPMC12936993

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.