Publications and research output

Year

Project

Type

Scientific publications, conference talks and research outputs by BMI lab “Mario Stefanelli” members

Digitizing rehabilitation outcomes and assessing data quality in clinical trials: implementing validated scales in REDCap for a stroke RCT

Giovanna Nicora, Lucia Sacchi, Valentina Tibollo, Elisa Cigliutti, Marco Caretti, Francesca Falchini, Maria Cristina Mauro, Alessio Fasano, Mariacristina Siotto, Arianna Pavan, Laura Cortellini, Stefania Lattanzi, Riccardo Bellazzi, Irene Giovanna Aprile, Marco Germanotta, Silvana Quaglini

Digitizing rehabilitation outcomes and assessing data quality in clinical trials: implementing validated scales in REDCap for a stroke RCT

Published in:  BMC Medical Research Methodology

Identifying needs in adult rehabilitation to support the clinical implementation of robotics and allied technologies: an Italian national survey

Irene Giovanna Aprile, Alessio Fasano, Marco Germanotta, Maria Cristina Mauro, Monia Andrea Papa, Giovanna Nicora, Leopoldo Trieste, Giuseppe Turchetti, Elena Beani, Giuseppina Sgandurra, Silvana Quaglini, Cristina Messa, Mission 1 Fit4MedRob Consortium

Identifying needs in adult rehabilitation to support the clinical implementation of robotics and allied technologies: an Italian national survey

Published in:  Frontiers in Digital Health

Samuele Pe, Arianna Dagliati, Enea Parimbelli, Bruna Maria Vittoria Guerra, Stefania Sozzi, Riccardo Bellazzi, Giovanna Nicora

Published in:  International Journal of Medical Informatics

Cabitza, Parimbelli

Let XAI generate reliability metadata, not medical explanations

Published in:  Computer Methods and Programs in Biomedicine

Santangelo, Nicora, Bellazzi, Dagliati

How good is your synthetic data? SynthRO, a dashboard to evaluate and benchmark synthetic tabular data

Peracchio, Nicora, Parimbelli, Buonocore, Dagliati, Bellazzi et al

RelAI: an automated approach to judge pointwise ML prediction reliability

Published in:  International Journal of Medical Informatics

Fasano et al

Towards the Identification of Patients’ Needs for Promoting Robotics and Allied Digital Technologies in Rehabilitation: A Systematic Review

Published in:  Healthcare

Nicora, Parimbelli, Quaglini et al.

Healthcare practitioners and robotic-assisted rehabilitation: understanding needs and barriers

Published in:  Journal of NeuroEngineering and Rehabilitation

Nicora, Pe, Santangelo, et al.

Systematic review of AI/ML applications in multi-domain robotic rehabilitation: trends, gaps, and future directions

Published in:  Journal of NeuroEngineering and Rehabilitation