25 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Istituti di Ricovero e Cura a Carattere ScientificoIT3 papers
- Università Cattolica del Sacro CuoreIT3 papers
- Interactive Media InstituteUS2 papers
- University of MilanIT2 papers
- University of Milano-BicoccaIT2 papers
- University of the Sacred HeartJP2 papers
- Virtual Reality Medical CenterUS2 papers
- Bioengineering Technology and Systems (Italy)IT1 paper
- Cedars-Sinai Medical CenterUS1 paper
- Centro Cardiologico MonzinoIT1 paper
- Centro San Giovanni di Dio FatebenefratelliIT1 paper
- Delft University of TechnologyNL1 paper
6 papers
System 0: Transforming Artificial Intelligence into a Cognitive Extension
Massimo Chiriatti, Marianna Bergamaschi Ganapini, Enrico Panai +2
This paper introduces System 0, a conceptual framework for understanding how artificial intelligence functions as a cognitive extension preceding both intuitive (System 1) and deli…
Psychomatics -- A Multidisciplinary Framework for Understanding Artificial Minds
Giuseppe Riva, Fabrizia Mantovani, Brenda K. Wiederhold +2
Although LLMs and other artificial intelligence systems demonstrate cognitive skills similar to humans, like concept learning and language acquisition, the way they process informa…
Advancing Italian Biomedical Information Extraction with Transformers-based Models: Methodological Insights and Multicenter Practical Application
Claudio Crema, Tommaso Mario Buonocore, Silvia Fostinelli +10
The introduction of computerized medical records in hospitals has reduced burdensome activities like manual writing and information fetching. However, the data contained in medical…
Liminal Design: A Conceptual Framework and Three-Step Approach for Developing Technology that Delivers Transcendence and Deeper Experiences
Johan Liedgren, Pieter Desmet, Andrea Gaggioli
As ubiquitous technology is increasingly mediating our relationships with the world and others, we argue that the sublime is struggling to find room in product design primarily aim…
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks
Kajetan Grodecki, Aditya Killekar, Andrew Lin +22
Quantitative lung measures derived from computed tomography (CT) have been demonstrated to improve prognostication in coronavirus disease (COVID-19) patients, but are not part of t…
Assigning UPDRS Scores in the Leg Agility Task of Parkinsonians: Can It Be Done through BSN-based Kinematic Variables?
Matteo Giuberti, Gianluigi Ferrari, Laura Contin +4
In this paper, by characterizing the Leg Agility (LA) task, which contributes to the evaluation of the degree of severity of the Parkinson's Disease (PD), through kinematic variabl…