HC@AIxIA AI&Health May Seminar: 'Building Trustworthy AI for Health'
Dear Madam/Sir,
This is to officially announce the MAY 2025 seminar of the "AI & Health: Seminars 2025" series as hosted by HC@AIxIA, i.e., the "Artificial Intelligence for Healthcare" working group of the Italian Association for Artificial Intelligence.
*** Save the date: 12 MAY 2025. 3:30 CET ***
We hope you will attend and participate in the discussion on the relevant topics that will be presented and by our speakers. Feel free to share this with those potentially interested.
Link for participating: https://bit.ly/hc-2025-05 (PLEASE CHECK the site https://aixia.it/en/gruppi/hc/ for any changes or updates) - Please find some details below, and a poster attached.
== May 2025 seminar ==
2025 May 12 - 3:30PM CET
Prof. Barbara Di Camillo, Department of Information Engineering, University of Padova, Italy
Title: Building Trustworthy AI for Health: Robust and Generalizable Models with a Focus on Challenging Cases
Abstract: To make artificial intelligence useful in real clinical settings, it is crucial that AI tools follow the principles of trustworthy AI. This means ensuring the accuracy and reliability of the results, defining the areas where the results are valid, and making sure the predictions are understandable. This approach ensures that humans remain at the center of the decision-making process. BRAINTEASER (https://brainteaser.health/) is a data science project that uses artificial intelligence to help patients with amyotrophic lateral sclerosis (ALS) and multiple sclerosis (MS), along with their doctors. In the presentation, I will show how, during the development of the machine learning methods within the project, we took into account the robustness and generalizability of the model, and how we identified and characterized the subjects for whom making predictions is more challenging.
Short Bio: Barbara Di Camillo is full professor in computer science with the Department of Information Engineering, University of Padova. Her research activity is centered in the development and application of advanced modeling, data mining and machine learning methods for high-throughput biological data analysis in the field of Bioinformatics and Systems Biology. In particular, she has developed and applied different methods for robust biomarker discovery, predictive modeling and clustering of clinical data and next generation sequencing data. She has also a great expertise in the development and application of differential equation based models, Boolean and Bayesian Networks for modeling the relationships between the variables and the pathways along which they influence the disease progression.
Flyer: https://drive.google.com/open?id=15badJ0Nfj8lrA0gZdFc9aOGeR3pelms-&usp=drive_fs
====
Some notes
Serving as coordinators of the working group on AI for Healthcare of the Italian Association of Artificial Intelligence (AIxIA, see: https://aixia.it/en/gruppi/hc/), part of our commitment consists of fostering contamination and collaboration between AI researchers and experts and operators in Medicine and Healthcare; in particular, we aim to contribute in building a two-way road for informing healthcare operators about AI results and opportunities, while also raising awareness among AI researchers about challenges and problems in medicine and healthcare.
Therefore, the 2025 seminar series, in the trail of the 2024 edition, will feature a number of experts presenting research results, projects, best practices, ideas, and more to a mixed audience of AI researchers and healthcare operators.
Thank you for your interest in the AI & Health seminar series and the HC@AIxIA working group, and see you soon!
Sincerely,
Francesco Calimeri, Mauro Dragoni, Fabio Stella
(coordinators of the HC@AIxIA working group)
*** Save the date: 12 MAY 2025. 3:30 CET ***
We hope you will attend and participate in the discussion on the relevant topics that will be presented and by our speakers. Feel free to share this with those potentially interested.
Link for participating: https://bit.ly/hc-2025-05 (PLEASE CHECK the site https://aixia.it/en/gruppi/hc/ for any changes or updates) - Please find some details below, and a poster attached.
== May 2025 seminar ==
2025 May 12 - 3:30PM CET
Prof. Barbara Di Camillo, Department of Information Engineering, University of Padova, Italy
Title: Building Trustworthy AI for Health: Robust and Generalizable Models with a Focus on Challenging Cases
Abstract: To make artificial intelligence useful in real clinical settings, it is crucial that AI tools follow the principles of trustworthy AI. This means ensuring the accuracy and reliability of the results, defining the areas where the results are valid, and making sure the predictions are understandable. This approach ensures that humans remain at the center of the decision-making process. BRAINTEASER (https://brainteaser.health/) is a data science project that uses artificial intelligence to help patients with amyotrophic lateral sclerosis (ALS) and multiple sclerosis (MS), along with their doctors. In the presentation, I will show how, during the development of the machine learning methods within the project, we took into account the robustness and generalizability of the model, and how we identified and characterized the subjects for whom making predictions is more challenging.
Short Bio: Barbara Di Camillo is full professor in computer science with the Department of Information Engineering, University of Padova. Her research activity is centered in the development and application of advanced modeling, data mining and machine learning methods for high-throughput biological data analysis in the field of Bioinformatics and Systems Biology. In particular, she has developed and applied different methods for robust biomarker discovery, predictive modeling and clustering of clinical data and next generation sequencing data. She has also a great expertise in the development and application of differential equation based models, Boolean and Bayesian Networks for modeling the relationships between the variables and the pathways along which they influence the disease progression.
Flyer: https://drive.google.com/open?id=15badJ0Nfj8lrA0gZdFc9aOGeR3pelms-&usp=drive_fs
====
Some notes
Serving as coordinators of the working group on AI for Healthcare of the Italian Association of Artificial Intelligence (AIxIA, see: https://aixia.it/en/gruppi/hc/), part of our commitment consists of fostering contamination and collaboration between AI researchers and experts and operators in Medicine and Healthcare; in particular, we aim to contribute in building a two-way road for informing healthcare operators about AI results and opportunities, while also raising awareness among AI researchers about challenges and problems in medicine and healthcare.
Therefore, the 2025 seminar series, in the trail of the 2024 edition, will feature a number of experts presenting research results, projects, best practices, ideas, and more to a mixed audience of AI researchers and healthcare operators.
Thank you for your interest in the AI & Health seminar series and the HC@AIxIA working group, and see you soon!
Sincerely,
Francesco Calimeri, Mauro Dragoni, Fabio Stella
(coordinators of the HC@AIxIA working group)
orcid.org/0000-0002-0192-8965
