67 citations
- University of Milano-BicoccaIT2 papers
- Bern University of Applied SciencesCH1 paper
- Beth Israel Deaconess Medical CenterUS1 paper
- Centro Diagnostico ItalianoIT1 paper
- Harvard UniversityUS1 paper
- Istituti di Ricovero e Cura a Carattere ScientificoIT1 paper
- Ospedale Sant'AnnaIT1 paper
- Umeå UniversitySE1 paper
- Università Campus Bio-MedicoIT1 paper
- University of MilanIT1 paper
- University of TurinIT1 paper
- Virginia TechUS1 paper
4 papers
Multimodal Explainability via Latent Shift applied to COVID-19 stratification
Valerio Guarrasi, Lorenzo Tronchin, Domenico Albano +4
We are witnessing a widespread adoption of artificial intelligence in healthcare. However, most of the advancements in deep learning in this area consider only unimodal data, negle…
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing
Valerio Basile, Federico Cabitza, Andrea Campagner +1
Most Artificial Intelligence applications are based on supervised machine learning (ML), which ultimately grounds on manually annotated data. The annotation process is often perfor…
Spinal Compressive Forces in Adolescent Idiopathic Scoliosis With and Without Carrying Loads: A Musculoskeletal Modeling Study
Stefan Schmid, Katelyn A. Burkhart, Brett T. Allaire +4
The pathogenesis of adolescent idiopathic scoliosis (AIS) remains poorly understood and biomechanical data are limited. A deeper insight into spinal loading could provide valuable…
A giant with feet of clay: on the validity of the data that feed machine learning in medicine
Federico Cabitza, Davide Ciucci, Raffaele Rasoini
This paper considers the use of Machine Learning (ML) in medicine by focusing on the main problem that this computational approach has been aimed at solving or at least minimizing:…