| 2023 | A Binning Approach for Predicting Long-Term Prognosis in Multiple Sclerosis. Robbe D'hondt, Sinead Moylett, An Goris, Celine Vens |
| 2023 | A General-Purpose AI Assistant Embedded in an Open-Source Radiology Information System. Saptarshi Purkayastha, Rohan Satya Isaac, Sharon Anthony, Shikhar Shukla, Elizabeth A. Krupinski, Joshua A. Danish, Judy Wawira Gichoya |
| 2023 | A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H &E Histological Images. Fernando Pérez-Bueno, Kjersti Engan, Rafael Molina |
| 2023 | A Rule-Free Approach for Cardiological Registry Filling from Italian Clinical Notes with Question Answering Transformers. Tommaso Mario Buonocore, Enea Parimbelli, Valentina Tibollo, Carlo Napolitano, Silvia G. Priori, Riccardo Bellazzi |
| 2023 | A Topological Data Analysis Framework for Computational Phenotyping. Giuseppe Albi, Alessia Gerbasi, Mattia Chiesa, Gualtiero I. Colombo, Riccardo Bellazzi, Arianna Dagliati |
| 2023 | Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection. João Vitorino, Lourenço Abrunhosa Rodrigues, Eva Maia, Isabel Praça, André Lourenço |
| 2023 | An Interactive Dashboard for Patient Monitoring and Management: A Support Tool to the Continuity of Care Centre. 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 |
| 2023 | Artificial Intelligence in Medicine - 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portorož, Slovenia, June 12-15, 2023, Proceedings Jose M. Juarez, Mar Marcos, Gregor Stiglic, Allan Tucker |
| 2023 | Autoencoder-Based Prediction of ICU Clinical Codes. Tsvetan R. Yordanov, Ameen Abu-Hanna, Anita C. J. Ravelli, Iacopo Vagliano |
| 2023 | Automatic Sleep Stage Classification on EEG Signals Using Time-Frequency Representation. Paul Dequidt, Mathieu Seraphim, Alexis Lechervy, Ivan Igor Gaez, Luc Brun, Olivier Etard |
| 2023 | BERT for Complex Systematic Review Screening to Support the Future of Medical Research. 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 |
| 2023 | Batch Integrated Gradients: Explanations for Temporal Electronic Health Records. Jamie Andrew Duell, Xiuyi Fan, Hsuan Fu, Monika Seisenberger |
| 2023 | Boosted Random Forests for Predicting Treatment Failure of Chemotherapy Regimens. Muhammad Usamah Shahid, Muddassar Farooq |
| 2023 | COVID-19 Diagnosis in 3D Chest CT Scans with Attention-Based Models. Kathrin Hartmann, Enrique Hortal |
| 2023 | Can Knowledge Transfer Techniques Compensate for the Limited Myocardial Infarction Data by Leveraging Hæmodynamics? An in silico Study. Riccardo Tenderini, Federico Betti, Ortal Yona Senouf, Olivier Muller, Simone Deparis, Annalisa Buffa, Emmanuel Abbe |
| 2023 | Causal Discovery with Missing Data in a Multicentric Clinical Study. Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella |
| 2023 | Classification of Fall Types in Parkinson's Disease from Self-report Data Using Natural Language Processing. Jeanne M. Powell, Yuting Guo, Abeed Sarker, J. Lucas McKay |
| 2023 | Computational Evaluation of Model-Agnostic Explainable AI Using Local Feature Importance in Healthcare. Seda Polat Erdeniz, Michael Schrempf, Diether Kramer, Peter P. Rainer, Alexander Felfernig, Thi Ngoc Trang Tran, Tamim Burgstaller, Sebastian Lubos |
| 2023 | Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students. Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos |
| 2023 | Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis. Enrico Longato, Erica Tavazzi, Adriano Chiò, Gabriele Mora, Giovanni Sparacino, Barbara Di Camillo |
| 2023 | Decentralized Web-Based Clinical Decision Support Using Semantic GLEAN Workflows. William Van Woensel, Samina Abidi, Syed Sibte Raza Abidi |
| 2023 | Decision Tree Approaches to Select High Risk Patients for Lung Cancer Screening Based on the UK Primary Care Data. Teena Rai, Yuan Shen, Jaspreet Kaur, Jun He, Mufti Mahmud, David J. Brown, David R. Baldwin, Emma O'Dowd, Richard B. Hubbard |
| 2023 | Discriminant Audio Properties in Deep Learning Based Respiratory Insufficiency Detection in Brazilian Portuguese. Marcelo Matheus Gauy, Larissa Cristina Berti, Arnaldo Cândido 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 |
| 2023 | ECGAN: Self-supervised Generative Adversarial Network for Electrocardiography. Lorenzo Simone, Davide Bacciu |
| 2023 | Explainable AI for Medical Event Prediction for Heart Failure Patients. Weronika Wrazen, Kain Kordian Gontarska, Felix Grzelka, Andreas Polze |
| 2023 | Explainable Artificial Intelligence for Cytological Image Analysis. Stefan Röhrl, Hendrik Maier, Manuel Lengl, Christian Klenk, Dominik Heim, Martin Knopp, Simon Schumann, Oliver Hayden, Klaus Diepold |
| 2023 | Federated Learning to Improve Counterfactual Explanations for Sepsis Treatment Prediction. Christoph Düsing, Philipp Cimiano |
| 2023 | GGTWEAK: Gene Tagging with Weak Supervision for German Clinical Text. Sandro Steinwand, Florian Borchert, Silvia Winkler, Matthieu-P. Schapranow |
| 2023 | Generalized Deep Learning-Based Proximal Gradient Descent for MR Reconstruction. Guanxiong Luo, Mengmeng Kuang, Peng Cao |
| 2023 | Hospital Length of Stay Prediction Based on Multi-modal Data Towards Trustworthy Human-AI Collaboration in Radiomics. Hubert Baniecki, Bartlomiej Sobieski, Przemyslaw Bombinski, Patryk Szatkowski, Przemyslaw Biecek |
| 2023 | Improving Stroke Trace Classification Explainability Through Counterexamples. Giorgio Leonardi, Stefania Montani, Manuel Striani |
| 2023 | Integrating Ontological Knowledge with Probability Data to Aid Diagnosis in Radiology. Charles E. Kahn |
| 2023 | Learning EKG Diagnostic Models with Hierarchical Class Label Dependencies. Junheng Wang, Milos Hauskrecht |
| 2023 | Machine Learning Based Prediction of Incident Cases of Crohn's Disease Using Electronic Health Records from a Large Integrated Health System. Julian Hugo, Susanne Ibing, Florian Borchert, Jan-Philipp Sachs, Judy Cho, Ryan C. Ungaro, Erwin P. Böttinger |
| 2023 | Machine Learning Models for Automatic Gene Ontology Annotation of Biological Texts. Jayati H. Jui, Milos Hauskrecht |
| 2023 | Management of Patient and Physician Preferences and Explanations for Participatory Evaluation of Treatment with an Ethical Seal. Òscar Raya, Xavier Castells, David Ramírez, Beatriz López |
| 2023 | Nation-Wide ePrescription Data Reveals Landscape of Physicians and Their Drug Prescribing Patterns in Slovenia. Pavlin G. Policar, Dalibor Stanimirovic, Blaz Zupan |
| 2023 | Novel Approach for Phenotyping Based on Diverse Top-K Subgroup Lists. Antonio Lopez-Martinez-Carrasco, Hugo Manuel Proença, Jose M. Juarez, Matthijs van Leeuwen, Manuel Campos |
| 2023 | Ontology Model for Supporting Process Mining on Healthcare-Related Data. José Antonio Miñarro-Giménez, Carlos Fernández-Llatas, Begoña Martínez-Salvador, Catalina Martínez-Costa, Mar Marcos, Jesualdo Tomás Fernández-Breis |
| 2023 | Patient Event Sequences for Predicting Hospitalization Length of Stay. Emil Riis Hansen, Thomas Dyhre Nielsen, Thomas Mulvad, Mads Nibe Stausholm, Tomer Sagi, Katja Hose |
| 2023 | Prognostic Prediction of Pediatric DHF in Two Hospitals in Thailand. 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 |
| 2023 | Ranking of Survival-Related Gene Sets Through Integration of Single-Sample Gene Set Enrichment and Survival Analysis. Martin Spendl, Jaka Kokosar, Ela Praznik, Luka Ausec, Blaz Zupan |
| 2023 | Real-World Evidence Inclusion in Guideline-Based Clinical Decision Support Systems: Breast Cancer Use Case. Jordi Torres, Eduardo Alonso, Nekane Larburu |
| 2023 | Soft-Prompt Tuning to Predict Lung Cancer Using Primary Care Free-Text Dutch Medical Notes. Auke Elfrink, Iacopo Vagliano, Ameen Abu-Hanna, Iacer Calixto |
| 2023 | Spatial Knowledge Transfer with Deep Adaptation Network for Predicting Hospital Readmission. Ameen Abdel Hai, Mark G. Weiner, Alice Livshits, Jeremiah R. Brown, Anuradha Paranjape, Zoran Obradovic, Daniel J. Rubin |
| 2023 | Supporting the Prediction of AKI Evolution Through Interval-Based Approximate Predictive Functional Dependencies. Beatrice Amico, Carlo Combi |
| 2023 | Survival Hierarchical Agglomerative Clustering: A Semi-Supervised Clustering Method Incorporating Survival Data. Alexander Lacki, Antonio Martinez-Millana |
| 2023 | The Impact of Bias on Drift Detection in AI Health Software. Asal Khoshravan Azar, Barbara Draghi, Ylenia Rotalinti, Puja Myles, Allan Tucker |