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ORCID21st AIME 2023: Portorož, Slovenia
- Jose M. Juarez
, Mar Marcos, Gregor Stiglic, Allan Tucker:
Artificial Intelligence in Medicine - 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portorož, Slovenia, June 12-15, 2023, Proceedings. Lecture Notes in Computer Science 13897, Springer 2023, ISBN 978-3-031-34343-8
Machine Learning and Deep Learning
- Alexander Lacki, Antonio Martinez-Millana:
Survival Hierarchical Agglomerative Clustering: A Semi-Supervised Clustering Method Incorporating Survival Data. 3-12 - Muhammad Usamah Shahid, Muddassar Farooq:
Boosted Random Forests for Predicting Treatment Failure of Chemotherapy Regimens. 13-24 - Robbe D'hondt, Sinead Moylett, An Goris, Celine Vens:
A Binning Approach for Predicting Long-Term Prognosis in Multiple Sclerosis. 25-34 - Teena Rai, Yuan Shen, Jaspreet Kaur, Jun He, Mufti Mahmud, David J. Brown, David R. Baldwin, Emma O'Dowd, Richard B. Hubbard:
Decision Tree Approaches to Select High Risk Patients for Lung Cancer Screening Based on the UK Primary Care Data. 35-39 - Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella:
Causal Discovery with Missing Data in a Multicentric Clinical Study. 40-44 - Antonio Lopez-Martinez-Carrasco, Hugo Manuel Proença, Jose M. Juarez, Matthijs van Leeuwen, Manuel Campos:
Novel Approach for Phenotyping Based on Diverse Top-K Subgroup Lists. 45-50 - Emil Riis Hansen, Thomas Dyhre Nielsen, Thomas Mulvad, Mads Nibe Stausholm, Tomer Sagi, Katja Hose:
Patient Event Sequences for Predicting Hospitalization Length of Stay. 51-56 - Tsvetan R. Yordanov, Ameen Abu-Hanna, Anita C. J. Ravelli, Iacopo Vagliano:
Autoencoder-Based Prediction of ICU Clinical Codes. 57-62
Explainability and Transfer Learning
- Hubert Baniecki, Bartlomiej Sobieski, Przemyslaw Bombinski, Patryk Szatkowski, Przemyslaw Biecek:
Hospital Length of Stay Prediction Based on Multi-modal Data Towards Trustworthy Human-AI Collaboration in Radiomics. 65-74 - Stefan Röhrl, Hendrik Maier, Manuel Lengl, Christian Klenk, Dominik Heim, Martin Knopp, Simon Schumann, Oliver Hayden, Klaus Diepold:
Explainable Artificial Intelligence for Cytological Image Analysis. 75-85 - Christoph Düsing, Philipp Cimiano:
Federated Learning to Improve Counterfactual Explanations for Sepsis Treatment Prediction. 86-96 - Weronika Wrazen, Kain Kordian Gontarska, Felix Grzelka, Andreas Polze:
Explainable AI for Medical Event Prediction for Heart Failure Patients. 97-107 - João Vitorino, Lourenço Abrunhosa Rodrigues, Eva Maia, Isabel Praça, André Lourenço:
Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection. 108-113 - Seda Polat Erdeniz, Michael Schrempf, Diether Kramer, Peter P. Rainer, Alexander Felfernig, Thi Ngoc Trang Tran, Tamim Burgstaller, Sebastian Lubos:
Computational Evaluation of Model-Agnostic Explainable AI Using Local Feature Importance in Healthcare. 114-119 - Jamie Andrew Duell, Xiuyi Fan, Hsuan Fu, Monika Seisenberger:
Batch Integrated Gradients: Explanations for Temporal Electronic Health Records. 120-124 - Giorgio Leonardi, Stefania Montani, Manuel Striani:
Improving Stroke Trace Classification Explainability Through Counterexamples. 125-129 - Ameen Abdel Hai, Mark G. Weiner, Alice Livshits, Jeremiah R. Brown, Anuradha Paranjape, Zoran Obradovic, Daniel J. Rubin:
Spatial Knowledge Transfer with Deep Adaptation Network for Predicting Hospital Readmission. 130-139 - Enrico Longato, Erica Tavazzi, Adriano Chiò, Gabriele Mora, Giovanni Sparacino, Barbara Di Camillo:
Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis. 140-150
Natural Language Processing
- Tommaso Mario Buonocore, Enea Parimbelli, Valentina Tibollo, Carlo Napolitano, Silvia G. Priori, Riccardo Bellazzi:
A Rule-Free Approach for Cardiological Registry Filling from Italian Clinical Notes with Question Answering Transformers. 153-162 - Jeanne M. Powell, Yuting Guo, Abeed Sarker, J. Lucas McKay:
Classification of Fall Types in Parkinson's Disease from Self-report Data Using Natural Language Processing. 163-172 - Marta Hasny, Alexandru-Petru Vasile, Mario Gianni, Alexandra Bannach-Brown, Mona Nasser, Murray Mackay, Diana Donovan, Jernej Sorli, Ioana Domocos, Milad Dulloo, Nimita Patel, Olivia Drayson, Nicole Meerah Elango, Jéromine Vacquie, Ana Patricia Ayala, Anna Fogtman:
BERT for Complex Systematic Review Screening to Support the Future of Medical Research. 173-182 - Sandro Steinwand, Florian Borchert, Silvia Winkler, Matthieu-P. Schapranow:
GGTWEAK: Gene Tagging with Weak Supervision for German Clinical Text. 183-192 - Auke Elfrink, Iacopo Vagliano, Ameen Abu-Hanna, Iacer Calixto:
Soft-Prompt Tuning to Predict Lung Cancer Using Primary Care Free-Text Dutch Medical Notes. 193-198 - Jayati H. Jui, Milos Hauskrecht:
Machine Learning Models for Automatic Gene Ontology Annotation of Biological Texts. 199-204
Image Analysis and Signal Analysis
- Fernando Pérez-Bueno, Kjersti Engan, Rafael Molina:
A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H &E Histological Images. 207-217 - Riccardo Tenderini, Federico Betti, Ortal Yona Senouf, Olivier Muller, Simone Deparis, Annalisa Buffa, Emmanuel Abbe:
Can Knowledge Transfer Techniques Compensate for the Limited Myocardial Infarction Data by Leveraging Hæmodynamics? An in silico Study. 218-228 - Kathrin Hartmann, Enrique Hortal:
COVID-19 Diagnosis in 3D Chest CT Scans with Attention-Based Models. 229-238 - Guanxiong Luo, Mengmeng Kuang, Peng Cao:
Generalized Deep Learning-Based Proximal Gradient Descent for MR Reconstruction. 239-244 - Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos:
Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students. 245-249 - Paul Dequidt, Mathieu Seraphim, Alexis Lechervy, Ivan Igor Gaez, Luc Brun, Olivier Etard:
Automatic Sleep Stage Classification on EEG Signals Using Time-Frequency Representation. 250-259 - Junheng Wang, Milos Hauskrecht:
Learning EKG Diagnostic Models with Hierarchical Class Label Dependencies. 260-270 - Marcelo Matheus Gauy, Larissa Cristina Berti, Arnaldo Candido Jr., Augusto Camargo Neto, Alfredo Goldman, Anna Sara Shafferman Levin, Marcus Martins, Beatriz Raposo de Medeiros, Marcelo Queiroz, Ester Cerdeira Sabino, Flaviane Romani Fernandes Svartman, Marcelo Finger:
Discriminant Audio Properties in Deep Learning Based Respiratory Insufficiency Detection in Brazilian Portuguese. 271-275 - Lorenzo Simone, Davide Bacciu:
ECGAN: Self-supervised Generative Adversarial Network for Electrocardiography. 276-280
Data Analysis and Statistical Models
- Pavlin G. Policar, Dalibor Stanimirovic, Blaz Zupan:
Nation-Wide ePrescription Data Reveals Landscape of Physicians and Their Drug Prescribing Patterns in Slovenia. 283-292 - Julian Hugo, Susanne Ibing, Florian Borchert, Jan-Philipp Sachs, Judy Cho, Ryan C. Ungaro, Erwin P. Böttinger:
Machine Learning Based Prediction of Incident Cases of Crohn's Disease Using Electronic Health Records from a Large Integrated Health System. 293-302 - Peter Haddawy, Myat Su Yin, Panhavath Meth, Araya Srikaew, Chonnikarn Wavemanee, Saranath Lawpoolsri Niyom, Kanokwan Sriraksa, Wannee Limpitikul, Preedawadee Kittirat, Prida Malasit, Panisadee Avirutnan, Dumrong Mairiang:
Prognostic Prediction of Pediatric DHF in Two Hospitals in Thailand. 303-312 - Asal Khoshravan Azar, Barbara Draghi, Ylenia Rotalinti, Puja Myles, Allan Tucker:
The Impact of Bias on Drift Detection in AI Health Software. 313-322 - Giuseppe Albi, Alessia Gerbasi, Mattia Chiesa, Gualtiero I. Colombo, Riccardo Bellazzi, Arianna Dagliati:
A Topological Data Analysis Framework for Computational Phenotyping. 323-327 - Martin Spendl, Jaka Kokosar, Ela Praznik, Luka Ausec, Blaz Zupan:
Ranking of Survival-Related Gene Sets Through Integration of Single-Sample Gene Set Enrichment and Survival Analysis. 328-337
Knowledge Representation and Decision Support
- Beatrice Amico, Carlo Combi:
Supporting the Prediction of AKI Evolution Through Interval-Based Approximate Predictive Functional Dependencies. 341-346 - Charles E. Kahn:
Integrating Ontological Knowledge with Probability Data to Aid Diagnosis in Radiology. 347-351 - José Antonio Miñarro-Giménez, Carlos Fernández-Llatas, Begoña Martínez-Salvador, Catalina Martínez-Costa, Mar Marcos, Jesualdo Tomás Fernández-Breis:
Ontology Model for Supporting Process Mining on Healthcare-Related Data. 352-356 - Jordi Torres, Eduardo Alonso, Nekane Larburu:
Real-World Evidence Inclusion in Guideline-Based Clinical Decision Support Systems: Breast Cancer Use Case. 357-361 - William Van Woensel, Samina Abidi, Syed Sibte Raza Abidi:
Decentralized Web-Based Clinical Decision Support Using Semantic GLEAN Workflows. 362-367 - Mariachiara Savino, Nicola Acampora, Carlotta Masciocchi, Roberto Gatta, Chiara Dachena, Stefania Orini, Andrea Cambieri, Francesco Landi, Graziano Onder, Andrea Russo, Sara Salini, Vincenzo Valentini, Andrea Damiani, Stefano Patarnello, Christian Barillaro:
An Interactive Dashboard for Patient Monitoring and Management: A Support Tool to the Continuity of Care Centre. 368-372 - Saptarshi Purkayastha, Rohan Isaac, Sharon Anthony, Shikhar Shukla, Elizabeth A. Krupinski, Joshua A. Danish, Judy Wawira Gichoya:
A General-Purpose AI Assistant Embedded in an Open-Source Radiology Information System. 373-377 - Òscar Raya, Xavier Castells, David Ramírez, Beatriz López:
Management of Patient and Physician Preferences and Explanations for Participatory Evaluation of Treatment with an Ethical Seal. 378-383
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