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ORCID23rd AIME 2025: Pavia, Italy - Part II
- Riccardo Bellazzi
, José Manuel Juarez Herrero, Lucia Sacchi, Blaz Zupan:
Artificial Intelligence in Medicine - 23rd International Conference, AIME 2025, Pavia, Italy, June 23-26, 2025, Proceedings, Part II. Lecture Notes in Computer Science 15735, Springer 2025, ISBN 978-3-031-95840-3 - Gianluca Aguzzi, Matteo Magnini, Martino Francesco Pengo, Mirko Viroli, Sara Montagna:
A Fine-Tuning Pipeline with Small Conversational Data for Healthcare Chatbot. 1-5 - Beatrice Amico, Carlo Combi:
Knowledge Graphs for Clinical Data: Strategies and Challenges with an Application to MIMIC III Dataset. 6-11 - Gianluca Apriceno, Tania Bailoni, Mauro Dragoni:
Exploring Large Language Model Reasoning Capabilities Over Personal Health Data. 12-17 - Gianluca Apriceno, Marina Segala, Giovanni Valer, Nicola Muraro, Vincenzo Netti, Paulo Vitor de Campos Souza, Mauro Dragoni:
A Trustworthy Evolutionary Fuzzy Neural Network Framework for Maternal Health Risk Classification. 18-23 - Balamurali B. T., Prachee Priyadarshinee, Ivan Fu Xing Tan, Vern Hsen Tan, Siang Chew Chai, Colin Yeo, Jer-Ming Chen:
Reconstructing Cycle-to-Cycle ECG from Heart Sound. 24-29 - Pietro Belligoli, Danielle S. Bitterman, Timothy A. Miller:
Do They Really Know? Evaluating Large Language Models' Ability to Reference and Cite Oncology Guidelines. 30-34 - Laura Bergomi, Enea Parimbelli, Daniele Pala, Tommaso Mario Buonocore:
BAT: A Toolkit for Biomedical Text Augmentation. 35-39 - Andrei Stefan Blindu, Silvia Berardelli, Federica De Paoli, Rossella Tricarico, Susanna Zucca, Paolo Magni:
AI Models Predicting Methylation Status from DNA Sequence: What is Missing? 40-45 - Marco Bolpagni, Simone De Carli, Leonardo Sanna, Silvia Gabrielli, Mauro Dragoni:
Role-Play Large Language Models for Short Behavior Change Interventions: An Exploratory Study on Brief Action Planning. 46-51 - Davide Borra, Matteo Fraternali, Valentina Bonsangue, Susanna Lavezzi, Sofia Straudi, Elisa Magosso:
Interpretable and Explainable AI Reveals EEG Signatures of Intervention in Minimally Conscious State Patients. 52-56 - Meher Boulaabi, Takwa Ben Aïcha Gader, Afef Kacem Echi, Zied Bouraoui:
Enhancing DR Classification with Swin Transformer and Shifted Window Attention. 57-61 - Tommaso Mario Buonocore, Sonia Mognaschi, Lorenzo Beretta, Serena Venturelli, Bruno Fattizzo, Eleonora Bruschi, Chiara Cassani, Simone Benatti, Sara Marinoni, Simone Vettoretti, Matteo Gabetta:
From Regex to Encoders: Low-Effort Negation Detection for Healthcare Data Integration in Italian Hospitals. 62-66 - Tommaso Mario Buonocore, Emanuele Cardinale, Garifallia Sakellariou, Riccardo Bellazzi, Lucia Sacchi:
Enhancing RAGs for Rheumatology Triage: Strategies for Optimized Knowledge Retrieval. 67-72 - Federico Cabitza:
Who Knocks on Heaven's Door: Measuring Augmentation and Outperformance in Human-AI Diagnostic Teams. 73-77 - Francesco Canonaco, Federico Pirola, Fabio Stella:
DBNcare: Towards an R Package for Dynamic Bayesian Networks Application in Healthcare. 78-82 - April Cao, Jake Y. Chen:
Generating Novel Linker Structures in Antibody-Drug Conjugates with Diffusion Models. 83-88 - Nicola Casali, Alessandro Brusaferri, Giuseppe Baselli, Stefano Fumagalli, Edoardo Micotti, Gianluigi Forloni, Riaz Hussein, Giovanna Rizzo, Alfonso Mastropietro:
Physics-Informed CNN Ensemble for Improved Tissue Perfusion and Diffusion Estimation with Uncertainty Quantification in IVIM MRI. 89-93 - Haobo Chen, Changyan Wang, Qi Zhang:
MaCa: Mamba-Guided Causal Disentanglement for Breast Tumor Segmentation in Ultrasound Images. 94-98 - Zikang Chen, Qinchuan Wang, Jinyan Liu, Yaoqian Sun, Heming Zheng, Haomin Li, Huilong Duan, Xudong Lu:
Breast-CRAG: A Breast Cancer Large Language Model Leveraging Retrieval-Augmented Generation. 99-104 - Kevin Cogan, Vuong M. Ngo, Mark Roantree:
Developing a Dyslexia Indicator Using Eye Tracking. 105-109 - Monica Consolandi, Jacopo Bennati, Alberto Cucino, Mauro Dragoni:
FaST: A Tool for Vignette-Based Factorial Survey Management. 110-115 - Rembert Daems, Sven Seys, Valérie Hox, Adam Chaker, Glynnis De Greve, Winde Lemmens, Anne-Lise Poirrier, Eline Beckers, Zuzana Diamant, Carmen Dierickx, Peter W. Hellings, Caroline Huart, Claudia Jerin, Mark Jorissen, Hanne Oscé, Karolien Roux, Mark Thompson, Sophie Tombu, Saartje Uyttebroek, Andrzej Zarowski, Senne Gorris, Laura Van Gerven, Dirk Loeckx, Thomas Demeester:
Improved Allergy Wheal Detection for the Skin Prick Automated Test Device. 116-120 - Rossella Damiano, Elisa Scalco, Marco L. Della Vedova, Alberto Arrigoni, Anna Caroli, Andrea Bombarda, Ettore Lanzarone:
Integrating Uncertainty Into U-Net Robustness Evaluation Under Natural MRI Alterations: Application to Kidney Segmentation. 121-126 - Federica De Paoli, Silvia Berardelli, Alessia Tudisco, Andrei Blindu, Enea Parimbelli, Susanna Zucca:
Generative AI Meets Genomics: VarChat, a RAG-Based Approach for Literature-Driven Variant Summarization. 127-131 - Annamaria Defilippo, Pietro Hiram Guzzi, Pierangelo Veltri, Pietro Liò:
GraphNet: A Novel Method Based on Graph Neural Networks for Emergency Healthcare Management. 132-136 - Claudio Eccher, Andrea Zorzi, Tania Bailoni, Stefania Poggianella, Mauro Dragoni:
DigiTher : An Open AI-Based Platform for Digital Therapeutics Intervention. 137-142 - Michela Ferrari, Edoardo Spairani, Mario Urtis, Antonio Tescari, Maurizia Grasso, Eloisa Arbustini, Giovanni Magenes:
Unsupervised Assessment of Coronary Artery Tortuosity Through Hidden Markov Models. 143-147 - Joseph Finkelstein, Aref Smiley, Christina Echeverria, Kathi Mooney:
Deep Learning Approaches for Prediction of Mental and Physical Deterioration During Chemotherapy. 148-153 - Anne M. Fischer, Isabelle Dehaene, Mark Hoogendoorn:
Generalizability of AI Survival Models in the Context of Preterm Birth Prediction. 154-159 - Alessandro Forgiarini, Elisabetta De Maria, Fabio Buttussi:
Probabilistic Modeling and Verification of an Adaptive VR Serious Game for Patients with Cognitive Impairment. 160-164 - Aneta Gábrisová, Ivan Cimrák:
Review of Recent Deep Learning Techniques Using Longitudinal Mammogram Data. 165-170 - Luca Gherardini, Paulina Tworek, Maja Szczypka, Yousef Khan, Marek Mikolajczyk, Roman Lewandowski, José L. R. Sousa:
Explainable AI for Allergy Diagnosis: A CACTUS Framework to Address Doctor Variability. 171-175 - Lea Gigou, Kosmas V. Kepesidis, Ferenc Krausz:
Towards Precision Medicine with Infrared Molecular Profiles: Identifying and Explaining Subgroups. 176-180 - Aynur Guluzade, Naguib Heiba, Zeyd Boukhers, Florim Hamiti, Jahid Hasan Polash, Yehya Mohamad, Carlos A. Velasco:
ELMTEX: Fine-Tuning LLMs for Structured Clinical Information Extraction. A Case Study on Clinical Reports. 181-185 - Frank M. Hodges, Sundareswar Pullela, Guy Cohen, Akshay Mulgund, Jared C. Roach, Stephen A. Ramsey:
Using AI to Improve Diagnosis and Treatment of Rare Diseases: A Chat Agent for Equitable and Accessible Healthcare. 186-191 - Muhammad Kashif, Patrizia Vizza, Aurara Delfino, Roberto Bruno Bossio, Giuseppe Tradigo, Sergio Flesca, Pierangelo Veltri:
Using LSTM-Based Model on Vocal Signal Analysis for the Classification of Multiple Sclerosis. 192-196 - Abdullahi Abubakar Kawu, Dympna O'Sullivan, Lucy Hederman:
PGHDProvO: Provenance Based Ontology for Sharing Patient Generated Health Data (PGHD) with an Electronic Health Record (EHR). 197-201 - Gul Rukh Khattak, Konstantinos Patlatzoglou, Yixiu Liang, Libor Pastika, Boroumand Zeidaabadi, Joseph Barker, Mehak Gurnani, Antônio H. Ribeiro, Jeffrey Annis, Antônio L. P. Ribeiro, Nicholas S. Peters, Junbo Ge, Daniel B. Kramer, Jonathan W. Waks, Evan Brittain, Arunashis Sau, Fu Siong Ng:
Contrasting by Augmented Patient Electrocardiograms to Learn Representations for a Foundation Model. 202-206 - Minkyung Kim, Myung Jin Chung, Jin Whan Cho, Jinyoung Youn, Hakje Yoo:
Development of Falling Detection AI Model Using Neuro-Kinematic Multimodality in Parkinson. 207-212 - Vanshpreet S. Kohli, Aaron Monis, Radhika Mamidi:
Choose Your Words Wisely: Domain-Adaptive Masking Makes Language Models Learn Faster. 213-217 - Melissa Larbi, Edouard Audit, Joël Chavas, Simplice Donfack, Vincent Mallet:
AI-Driven Identification of Subclinical Alcohol Use Disorder in Type 2 Diabetes Patients. 218-223 - Giorgio Leonardi, Stefania Montani, Manuel Striani:
Exploiting LLMs for Supporting Conformance Checking on Medical Processes. 224-229 - Alessandro Liscio, Maria Teresa Chiaravalloti, Vincenzo Giannattasio Dell'Isola, Monica Moz:
Advancing LOINC Mapping with AI: Insights from LARA's RAG Implementation and Expert Evaluation. 230-234 - Mary M. Lucas, Christopher C. Yang:
A Collaborative Learning Approach for Fairness in Prediction of Substance Use Disorder Treatment Completion. 235-239 - Alessio Luschi, Linda Tognetti, Gabriele Cevenini, Pietro Rubegni, Ernesto Iadanza:
A Region-Specific GAN-Based Solution for Data Augmentation in Dermatology. 240-244 - Mohamed Maher, Reem Ayman, Sondos Akram, Omar Marie, Radwa El Shawi:
ML-EvalPro: Machine Learning Evaluation Profiler for Supervised Tasks. 245-249 - Adrián Maldonado-Oclica, Regina Rios-López, Adrián Beltrán-Fernández, Daniela Alquicira-Guevara, Miguel Veloz-Lucas, Rashid Flores-Niño, María García-Santiago:
AI-Based Mobile App for Segmentation and Tissue Classification on Diabetic Foot Ulcer: A Step Forward in Patient Care. 250-254 - Saurabh Mathur, Ranveer Singh, Michael A. Skinner, Ethan Sanford, Neel Shah, Phillip Reeder, Lakshmi Raman, Sriraam Natarajan:
LLM-Guided Causal Bayesian Network Construction for Pediatric Patients on ECMO. 255-260 - Teodora Matic, Aleksander Sadikov, Peter Pregelj, Polona Rus Prelog:
Machine Learning Models for Predicting Suicidal Ideation, Depression, Anxiety, and Stress in the General Population. 261-266 - Tatiana Merzhevich, Alexandros Tanzanakis, Emmanuelle Salin, Claudia Quiering, Christoph F. Kurz, Benjamin Gmeiner, Bjoern M. Eskofier:
Machine Learning Predictions of Overall and Progression-Free Survival in Advanced Breast Cancer. 267-271 - Dhia Eddine Merzougui, Gaël Dias, Jérémie Pantin, Fabrice Maurel:
Evaluating Large Language Models for Depression Symptom Estimation. 272-276 - Adriana Modrego, Esther Aurensanz-Clemente, Julia Meca-Santamaria, Roger Domingo-Espinós, Joan Sanchez-de-Toledo, Bart H. Bijnens, Patricia Garcia-Cañadilla:
Predicting Intensive Care Unit Length of Stay in Pediatric Congenital Heart Disease Patients After Cardiac Surgery Using the Medic-BERT Model. 277-282 - Lea Multerer, Manuel Acquistapace, Marco Forgione, Laura Azzimonti:
Physics-Informed Neural Networks for Hidden Insulin Dynamics Estimation from Glucose Data. 283-287 - Muhammad Mursil, Hatem A. Rashwan, Adnan Khalid, Luis Santos-Calderon, Pere Cavallé-Busquets, Michelle M. Murphy, Domenec Puig:
Transformer-Based Bi-encoder for Early Neonatal Birth Weight Prediction Using Maternal Nutritional and Health Insights. 288-293 - Leonardo Nucciarelli, Roberto Gatta, Andrada Mihaela Tudor, Erica Tavazzi, Giovanni Arcuri, Mauro Vallati, Gema Ibáñez-Sánchez, Zoe Valero-Ramon, Carlos Fernández-Llatas, Andrea Damiani:
Towards Distributed Process Discovery in Healthcare: Testing and Proving the Feasibility of the Federated Alpha+ Algorithm. 294-299 - Yuki Oba, Masaru Sanuki, Yukiko Wagatsuma, Taro Tezuka:
Multi-task Learning on Tabular Health Checkup Data for Prediction of Lifestyle-Related Diseases. 300-304 - Dipendra Pant, Norbert Skokauskas, Bennett L. Leventhal, Thomas Brox Røst, Øystein Nytrø:
Data-Driven Demo Application for Adolescent Mental Health Screening with Decision Support. 305-310 - Daniela Pavlíková, Lucia Piatriková, Ivan Cimrák:
Quality Assessment and Filtering of HE-Stained Images for Machine Learning Applications. 311-316 - Chiara Pullega, Arianna Dagliati, Allan Tucker:
Domain-Adversarial Neural Networks to Explore Biases in the Diagnosis of Multiple Eye Conditions from Fundus Image Data. 317-322 - Patrick Reichherzer, Vanessa Restrepo Schild, Ollie Dare, Steven Webster-Edge:
Preventing Syringe Swap Errors with an Attention-Based CRNN: A Real-Time Mobile AI Solution. 323-328 - Elena Ricci, Michele Cardinali, Alberto Pirni:
AI-Powered Care Robots for Compassionate Care: A Value-Sensitive Approach to Humanizing Healthcare. 329-333 - Lucia Sacchi, Giovanna Nicora, Irene Aprile, Silvana Quaglini:
Clinical Outcome Measurement Scales: A Domain Ontology and a Use Case for Stroke Rehabilitation. 334-338 - Shira Sadot Shaharabani, Tal Shavit, Nadav Rappoport:
Reducing Total Fertilization Failure in In-Vitro Fertilization: A Prescriptive Analytics Framework for Controlled Ovarian Stimulation Protocol Recommendations. 339-344 - Martina Saletta, Andrea Bombarda, Matteo Bellini, Lucrezia Goisis, Paolo Cazzaniga, Maria Iascone, Domenico Fabio Savo:
Automated Phenotype-Based Clustering of Clinical Reports Using Large Language Models. 345-350 - Gabriele Santangelo, Chiara Alessi, Nikolas Sacchi, Giovanna Nicora, Riccardo Bellazzi, Antonella Ferrara, Arianna Dagliati:
Upper Limb Movements Simulations with Generative Diffusion Models. 351-355 - Mariachiara Savino, Chiara Dachena, Carlotta Masciocchi, Stefania Orini, Roberto Gatta, Stefano Patarnello, Riccardo Rinaldi, Nicola Acampora, Eleonora Meloni, Giovanni Arcuri, Francesco Landi, Graziano Onder, Christian Barillaro:
Predicting Length of Stay in Geriatric Patients Using an Ensemble Learning Method. 356-360 - Fabrizio Sciscenti, Valentina Agostini, Laura Rizzi, Michele Lanotte, Marco Ghislieri:
Advancing Deep Brain Stimulation: Machine Learning for Intraoperative SubThalamic Nucleus Targeting from MicroElectrode Recordings. 361-366 - Mahdieh Shabanian, Nima Pouladi, Liam S. Wilson, Mattia Prosperi, Yves A. Lussier:
Enabling Transcriptome Classification in Micro-cohorts with Pathway-Anchoring and Single-Subject Studies. 367-372 - Lorenzo Simone, Mauro Giuseppe Camporeale, Vito Marco Rubino, Vincenzo Gervasi, Giovanni Dimauro:
Interpretable Early Detection of Parkinson's Disease Through Speech Analysis. 373-378 - Qingyuan Song, Jessie Yang, Ndidiamaka Obi, Congning Ni, Jeremy L. Warner, Qingxia Chen, Lijun Song, S. Trent Rosenbloom, Bradley A. Malin, Zhijun Yin:
Using Large Language Model for Efficient Extraction of Treatment Discontinuation Information - A Study of Online Breast Cancer Community Posts. 379-383 - Amir Sorayaie Azar, Margrethe Høstgaard Bang Henriksen, Ole Hilberg, Amin Naemi, Jamshid Bagherzadeh Mohasef, Uffe Kock Wiil, Ali Ebrahimi:
Explainable AI for Smoking Behaviour Detection: A Danish Medical Records Study. 384-388 - Krzysztof Spalinski, Antonina Spalinska, Michal Kopka, Paulina Przybylek, Magdalena Jasionowska-Skop, Artur Przelaskowski:
Automated Instance Segmentation of Peripheral Nerve Microscopy Images: A Novel Pipeline for Morphometric Analysis in Regenerative Medicine. 389-394 - Alexandre St-Georges, A. Houle, Gabriel Richard, Maxime Toussaint, Etienne Auger, Christian Thibaudeau, Étienne Croteau, Stephen C. Cunnane, Roger Lecomte, Jean-Baptiste Michaud:
Pseudo-CT Generation from Uncorrected PET Images Using Multiview Ensemble Conditional Diffusion Model for Attenuation Correction. 395-400 - Giulio Steyde, Alessandra Galli, Andrea Cardinali, Edoardo Spairani, Giovanni Magenes, Maria G. Signorini:
Semi-simulated Data for Improving Fetal QRS Detection Using Deep Neural Networks. 401-405 - Radoslava Svihrová, Davide Marzorati, Alvise Dei Rossi, Tiziano Gerosa, Francesca Dalia Faraci:
Data-Driven Causal Discovery: Insights from a Longitudinal Study with Wearable Data. 406-410 - Coco Victoria Tirambulo, Simona Merlini, Carlos Lizarraga-Celaya, Mithun Paul, Roberta Diaz Brinton, Francesca Vitali:
Unsupervised Deep Embedded Clustering Reveals High-Risk Subgroups for Alzheimer's Disease. 411-415 - Rutger van der Linden, Khadicha Amarti, Marketa Ciharova, Annet Kleiboer, Heleen Riper, Aneta Lisowska, Mark Hoogendoorn:
Personalizing mHealth Apps with Offline Reinforcement Learning: A Case Study on Mental Health App Adherence. 416-421 - William Van Woensel, Sushumna S. Pradeep, Ali Daowd, Samina Abidi, Syed Sibte Raza Abidi:
Using Word Embeddings to Extract Semantic Relations from Biomedical Texts: Towards Literature-Based Discovery. 422-427 - Philipp Wendland, Maik Kschischo:
Dynamic Dose Optimization Under Side Effect Constraints Using Counterfactual Outcome Prediction. 428-433 - Beatrice Zanchi, Giuliana Monachino, Luigi Fiorillo, Giulio Conte, Francesca Dalia Faraci:
Brugada Syndrome Diagnosis Through Self-supervised Contrastive Learning. 434-438 - Tianyi Zhang, Keqi Han, Jiawei Nie, Chenyu You, Sanne J. H. van Rooij, Jennifer S. Stevens, Boadie Dunlop, Charles Gillespie, Carl Yang:
Causal Brain Connectivity: Integrating Granger Directed Graphs in fMRI Analysis. 439-444
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