XXXIX Annual School 2020 “AI-enabled health care: from decision support to autonomous robots”
Artificial Intelligence (AI) has recently gained a pivotal role among current technologies. The reason for this success rests in the tech environment: the plentiful availability of huge data sets – hence the buzzword Big Data, the evolution of powerful computational architectures and development of flexible and scalable algorithms.
The state-of-the-art AI systems can process language, analyze images, manage multiple heterogeneous signals. Furthermore, AI can derive decision support tools so refined that they sometimes equal or surpass human capabilities, especially when dealing with specific tasks, such as the interpretation of diagnostic images.
This kind of hype and interest around AI, however, may cause over-expectations, misuse and poor assessment of its implementation, which may lead to serious consequences insafety critical contexts, like medicine. A careful, profound and open-minded assessment of AI is strongly needed.
The Italian bioengineering community has studied the application of AI in medicine in depth since the early eighties. Bioengineers successfully exploit AI methods and algorithms to support the full range of its potential applications, ranging from clinical decisions to the implementation of effective bio- robotic solutions. The GNB Bioengineering School aims at providing the fundamentals, state-of-the-art and perspective of AI in medicine, bridging clinical decision support and robotics by showing their full range of application and the problems
they share when AI instruments are applied to support health care and life sciences.
Capturing the main aspects and trends of this developing topic and its interdisciplinary elements is of utmost importance for stakeholders of both industry and research.
The School program is designed to take all the above mentioned aspects into careful consideration; tracing a path from the basics, through the building blocks of decision support and AI systems, to real world applications, robotics and ultimately embodied intelligence.
SCIENTIFIC ORGANIZERS
Riccardo Bellazzi – University of Pavia
Cecilia Laschi – Scuola Superiore Sant’Anna
Lucia Sacchi – University of Pavia
Silvana Quaglini – University of Pavia
DATATHON ORGANIZER
Riccardo Barbieri – Politecnico di Milano
LOCAL ORGANIZER
Gruppo Nazionale di Bioingegneria (GNB)
Segreteria Organizzativa: PRAGMA Congressi, Pavia
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Event program
| 07.09.2020 - 09:00 | School 2020 opening R. Bellazzi, C. Laschi, S. Quaglini |
| 07.09.2020 - 09:15 | AI an Healthcare: past, present and future C. Combi, University of Verona |
| 07.09.2020 - 10:00 | AI in the institutional context P Giudici, E Raffinetti, University of Pavia, University of Milan |
| 07.09.2020 - 11:00 | Knowledge representation and reasoning F. Chesani, University of Bologna |
| 07.09.2020 - 14:00 | A basic glossary of Machine Learning L. Sacchi, University of Pavia |
| 07.09.2020 - 14:45 | From Neural Networks to Deep Learning S. Ramat, University of Pavia |
| 07.09.2020 - 15:45 | Deep Learning for Medical Imaging in the Era of Precision Medicine V. Bevilacqua, Politecnico di Bari |
| 07.09.2020 - 16:30 | DATATHON Presentation R. Barbieri, Politecnico di Milano |
| 08.09.2020 - 09:00 | Natural language processing methods for clinical text N. Viani, King's College London |
| 08.09.2020 - 09:45 | -omics B. Zupan, University of Ljubljana |
| 08.09.2020 - 10:45 | Building cognitive systems R. Alexander, IBM |
| 08.09.2020 - 11:30 | Opening the Black Box: Explanation and Trust in Medical-Based AI-Systems A. Tucker, Brunel University London, UK |
| 08.09.2020 - 14:00 | Decision-making, values and utilities E. Parimbelli, University of Pavia |
| 08.09.2020 - 14:45 | Reinforcement learning V.G. Santucci, STC CNR Rome |
| 08.09.2020 - 15:45 | AI in Diabetes management M. Vettoretti, University of Padova |
| 08.09.2020 - 16:30 | Towards AI powered chatbots for mental health M. Ottaviano, Universidad Politécnica de Madrid |
| 09.09.2020 - 09:00 | Connecting the dots School organizers |
| 09.09.2020 - 09:15 | Robotics and the bioengineering of cognitive development: iCub and the quest for cognition G. Sandini, Istituto Italiano di Tecnologia |
| 09.09.2020 - 10:00 | On the origin of human autonomy and sociality: Embodied emergence development and constructivism Y. Kuniyoshi, University of Tokyo |
| 09.09.2020 - 11:00 | Neuromorphic sensing and perception C. Bartolozzi, Istituto Italiano di Tecnologia |
| 09.09.2020 - 10:45 | Neurorobotics: Brain-inspired models for robot control E. Falotico, Scuola Superiore Sant'Anna |
| 09.09.2020 - 14:30 | Award Ceremony - AMICI DELL’UNIVERSITÀ DI PADOVA, BRESSANONE, FREUNDE DER UNIVERSITÄT PADUA, BRIXEN |
| 09.09.2020 - 15:30 | LECTIO MAGISTRALIS: Intelligenza artificiale in Medicina – la lezione di Mario Stefanelli a dieci anni dalla sua scomparsa A. Riva, Bioinformatics Core at University of Florida Interdisciplinary Center for Biotechnology Research, USA |
| 10.09.2020 - 09:00 | Data-driven Spiking Neural Networks for Neurorobotics A. Pedrocchi / E. D’Angelo, Politecnico di Milano, University of Pavia |
| 10.09.2020 - 09:45 | Computer vision in autonomous systems R. Cucchiara, University of Modena and Reggio Emilia |
| 10.09.2020 - 10:30 | Human-Robot Interaction D. Nardi, La Sapienza University of Rome |
| 10.09.2020 - 11:30 | A functional approach to the regulation of AI A. Bertolini, Scuola Superiore Sant'Anna |
| 10.09.2020 - 12:15 | AI and decision-making: dilemmas of regulation and methodological implications A. Santosuosso, University of Pavia |
| 10.09.2020 - 14:30 | Report on the activities performed during the week |
| 10.09.2020 - 15:00 | DATATHON challenge presentations |
| 10.09.2020 - 16:00 | DATATHON AWARDS |
| 10.09.2020 - 16:30 | Closing R. Bellazzi, C. Laschi, S. Quaglini |