Bayesian networks are well-suited for clinical reasoning on tabular data, but are less compatible with natural language data, for which neural networks provide a successful framework. This paper compares and discusses strategies to augment Bayesian networks with neural text representations, both in a generative and discriminative manner. This is illustrated with simulation results for a primary care use case (diagnosis of pneumonia) and discussed in a broader clinical context.
Schema-Adaptive Tabular Representation Learning with LLMs for Generalizable Multimodal Clinical Reasoning
Beijing University of Posts and Telecommunications（北京邮电大学）；Boston University（波士顿大学）；University of Southern California（南加州大学）；GDIIST；Renyixun Health Technology Co., Ltd.（仁心迅健康科技有限公司）
Advancing Stroke Risk Prediction Using a Multi-modal Foundation Model
Signal Processing Institute EPFL University Lausanne（瑞士洛桑联邦理工学院信号处理研究所）；Brigham and Women’s Hospital Harvard Medical School（哈佛医学院布里奇沃特医院）；Department of Quantitative Biomedicine University of Zurich（苏黎世大学定量生物医学系）；ETH AI Center, Department of Computer Science Department of Quantitative Biomedicine University of Zurich（苏黎世大学定量生物医学系）
Vision-based Deep Learning Analysis of Unordered Biomedical Tabular Datasets via Optimal Spatial Cartography
Department of Radiation Oncology, Stanford University（斯坦福大学放射肿瘤学系）；Department of Radiology, Stanford University（斯坦福大学放射学系）；Institute for Stem Cell Biology and Regenerative Medicine, Stanford University（斯坦福大学干细胞生物学与再生医学研究所）；Stanford Cancer Institute, Stanford University（斯坦福癌症研究所）
Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention
Fraunhofer Institute for Digital Medicine MEVIS（弗劳恩霍夫数字医学研究所MEVIS）；Leibniz Institute for Prevention Research and Epidemiology – BIPS（莱比锡预防研究与流行病学研究所 – BIPS）；Faculty of Mathematics and Computer Science, University of Bremen（不莱梅大学数学与计算机科学学院）；Faculty of Physics and Electrical Engineering, University of Bremen（不莱梅大学物理与电气工程学院）
An Incremental Explanation of Inference in Hybrid Bayesian Networks for Increasing Model Trustworthiness and Supporting Clinical Decision Making
School of Electronic Engineering & Computer Science, Queen Mary University of London（伦敦玛丽女王大学电子工程与计算机科学学院）；Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London（伦敦玛丽女王大学布利扎德研究所创伤科学中心）；Royal London Hospital, Barts and The London NHS Trust（皇家伦敦医院）；Academic Department of Military Surgery and Trauma, Royal Centre for Defence Medicine（皇家国防医学中心军事外科与创伤学术部）
Tabular Foundation Models for Clinical Survival Analysis via Survival-Aware Adaptation
ADAPT Centre, Dublin City University（ADAPT中心，都柏林城市大学）；School of Computing, Dublin City University（都柏林城市大学计算机学院）；Department of Computer Science and Engineering, University of Bologna（博洛尼亚大学计算机科学与工程系）
CLEAR: A Clinically-Grounded Tabular Framework for Radiology Report Evaluation
University of Chicago（芝加哥大学）；Tsinghua University（清华大学）；Zhejiang University（浙江大学）；University of Michigan Department of Statistics（密歇根大学统计学系）；University of Chicago Department of Computer Science（芝加哥大学计算机科学系）；University of Chicago Department of Computer Science and Technology（芝加哥大学计算机科学与技术系）；Tsinghua University Department of Radiology（清华大学放射学系）；University of Chicago College of Control Science and Engineering（芝加哥大学控制科学与工程学院）
Fed-ReMasker: Federated Tabular Imputation under Feature-Level Missingness
ARTORG Center for Biomedical Engineering Research University of Bern（伯尔尼大学生物医学工程研究中心）；Graduate School for Cellular and Biomedical Sciences University of Bern（伯尔尼大学细胞与生物医学科学研究生院）
An approach with Visual and Tabular Mamba to multimodal medical data using Mixed Fusion
Labcin - Nature Inspired Computing Lab, Federal University of Esp\'irito Santo, Vit\'oria, Brazil PPGI - Graduate Program in Computer Science, Federal University of Esp\'irito Santo, Vit\'oria, Brazil
Self-Reinforcing Controllable Synthesis of Rare Relational Data via Bayesian Calibration
Henan University, China（河南大学）；Department of Statistics, LMU Munich（慕尼黑大学统计系）；MCML Munich（慕尼黑MCML）；CISPA Helmholtz Center for Information Security, Saarbrücken, Germany（萨尔布吕肯德国海德堡中心信息安全研究所）
DISCO-TAB: A Hierarchical Reinforcement Learning Framework for Privacy-Preserving Synthesis of Complex Clinical Data
Computational Science Research Center, San Diego State University（圣地亚哥州立大学计算科学研究中心）；School of Nursing and Department of Computer Science, University of California, Irvine（加州大学尔湾分校护理学院与计算机科学系）；Fowler College of Business, San Diego State University（圣地亚哥州立大学福勒商学院）；Department of Computer Science, San Diego State University（圣地亚哥州立大学计算机科学系）
PREBA: Surgical Duration Prediction via PCA-Weighted Retrieval-Augmented LLMs and Bayesian Averaging Aggregation
School of Information Science and Engineering, Yunnan University（云南大学信息科学与工程学院）；School of Computer Science, Wuhan University（武汉大学计算机学院）；Lee Kong Chian School of Medicine, Nanyang Technological University（南洋理工大学李科钦医学院）；First People’s Hospital of Yunnan Province（云南省第一人民医院）
Critical Challenges and Guidelines in Evaluating Synthetic Tabular Data: A Systematic Review
Healthy Lifespan Institute, School of Computer Science, University of Sheffield（健康寿命研究所，计算机科学学院，谢菲尔德大学）；School of Electrical and Electronic Engineering, University of Sheffield（电子与电气工程学院，谢菲尔德大学）；Healthy Lifespan Institute, School of Sociological Studies, Politics and International Relations, University of Sheffield（健康寿命研究所，社会科学学院，政治与国际关系，谢菲尔德大学）；Digital Environment Research Institute, Queen Mary University of London（数字环境研究 institutes，伦敦女王大学）
