MLHC 2025

44 papers

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression Mert Ketenci, Vincent Jeanselme, Harry Reyes Nieva, Shalmali Joshi, Noémie Elhadad

Balancing Interpretability and Flexibility in Modeling Diagnostic Trajectories with an Embedded Neural Hawkes Process Model Yuankang Zhao, Matthew M. Engelhard

Bidirectional Hierarchical Protein Multi-Modal Representation Learning Xuefeng Liu, Songhao Jiang, Chih-chan Tien, Jinbo Xu, Rick L. Stevens

Biomedical Hypothesis Explainability with Graph-Based Context Retrieval Ilya Tyagin, Saeideh Valipour, Aliaksandra Sikirzhytskaya, Michael Shtutman, Ilya Safro

Borrowing from the Future: Enhancing Early Risk Assessment Through Contrastive Learning Minghui Sun, Matthew M. Engelhard, Benjamin Goldstein

Can Interpretability and Accuracy Coexist in Cancer Survival Analysis? Piyush Borole, Tongjie Wang, Antonio Vergari, Ajitha Rajan

Classifying Copy Number Variations Using State Space Modeling of Targeted Sequencing Data: A Case Study in Thalassemia Austin Talbot, Alex V. Kotlar, Lavanya Rishishwar, Yue Ke

Clinicians’ Voice: Fundamental Considerations for XAI in Healthcare Tabea Elina Röber, Rob Goedhart, Ilker Birbil

ConTextual: Improving Clinical Text Summarization in LLMs with Context-Preserving Token Filtering and Knowledge Graphs Fahmida Liza Piya, Rahmatollah Beheshti

Does Domain-Specific Retrieval Augmented Generation Help LLMs Answer Consumer Health Questions? Chase M Fensore, Rodrigo M Carrillo-Larco, Megha Shah, Joyce C. Ho

Early Detection of Pancreatic Cancer Using Multimodal Learning on Electronic Health Records Mosbah Aouad, Anirudh Choudhary, Awais Farooq, Steven W Nevers, Lusine Demirkhanyan, Bhrandon Harris, Suguna Pappu, Christopher S Gondi, Ravi Iyer

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling William Han, Chaojing Duan, Michael Rosenberg, Emerson Liu, Ding Zhao

Enhancing Adaptive Behavioral Interventions with LLM Inference from Participant Described States Karine Karine, Benjamin M. Marlin

Equitable Electronic Health Record Prediction with FAME: Fairness-Aware Multimodal Embedding Nikkie Hooman, Zhongjie Wu, Eric C. Larson, Mehak Gupta

Error Profiling of Machine Learning Models: An Exploratory Visualization Jeffrey Feng, Al Rahrooh, Alex Bui

Evaluation of Multi-Agent LLMs in Multidisciplinary Team Decision-Making for Challenging Cancer Cases Jaesik Kim, Byounghan Lee, Kyung-Ah Sohn, Dokyoon Kim, Young Chan Lee

FactEHR: A Dataset for Evaluating Factuality in Clinical Notes Using LLMs Monica Munnangi, Akshay Swaminathan, Jason Alan Fries, Jenelle A Jindal, Sanjana Narayanan, Ivan Lopez, Lucia Tu, Philip Chung, Jesutofunmi Omiye, Mehr Kashyap, Nigam Shah

FIVA: Federated Inverse Variance Averaging for Universal CT Segmentation with Uncertainty Estimation Asim Ukaye, Numan Saeed, Karthik Nandakumar

Generating Accurate Synthetic Survival Data by Conditioning on Outcomes Mohd Ashhad, Ricardo Henao

Improving ARDS Diagnosis Through Context-Aware Concept Bottleneck Models Anish Narain, Ritam Majumdar, Nikita Narayanan, Dominic C Marshall, Sonali Parbhoo

Improving Out-of-Distribution Human Activity Recognition via IMU-Video Cross-Modal Representation Learning Seyyed Saeid Cheshmi, Buyao Lyu, Thomas Lisko, Rajesh Rajamani, Robert A. McGovern, Yogatheesan Varatharajah

INSIGHT: Explainable Weakly-Supervised Medical Image Analysis Wenbo Zhang, Junyu Chen, Christopher Kanan

Iterative Learning of Computable Phenotypes for Treatment Resistant Hypertension Using Large Language Models Guilherme Seidyo Imai Aldeia, Daniel S Herman, William La Cava

Learning to Call: A Field Trial of a Collaborative Bandit Algorithm for Optimizing Call Timing in Mobile Maternal Health Arpan Dasgupta, Mizhaan Prajit Maniyar, Awadhesh Srivastava, Sanat Kumar, Amrita Mahale, Aparna Hegde, Arun Suggala, Karthikeyan Shanmugam, Milind Tambe, Aparna Taneja

LEAVES: Learning Views for Time-Series Biobehavioral Data in Contrastive Learning Han Yu, Huiyuan Yang, Akane Sano

MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks Mouath Abu Daoud, Chaimae Abouzahir, Leen Kharouf, Walid Al-Eisawi, Nizar Habash, Farah E. Shamout

MedPatch: Confidence-Guided Multi-Stage Fusion for Multimodal Clinical Data Baraa Al Jorf, Farah E. Shamout

Monte Carlo ExtremalMask: Uncertainty Aware Time Series Model Interpretability for Critical Care Applications Shashank Yadav, Vignesh Subbian

Optimizing Segmentation of Neonatal Brain MRIs with Partially Annotated Multi-Label Data Dariia Kucheruk, Sam Osia, Pouria Mashouri, Elizaveta Rybnikova, Sergey Protserov, Jaryd Hunter, Maksym Muzychenko, Jessie Ting Guo, Michael Brudno

Patient-Specific Deep Reinforcement Learning for Automatic Replanning in Head-and-Neck Cancer Proton Therapy Malvern Madondo, Yuan Shao, Yingzi Liu, Jun Zhou, Xiaofeng Yang, Zhen Tian

PhenoRAG: Retrieval-Augmented Generation for Efficient Zero-Shot Phenotype Identification in Clinical Reports Marc Berndt, Andrea Agostini, Beatrice Stocker, Maria Padrutt, Silvio Daniel Brugger, D Sean Froese, Daphné Chopard, Julia E Vogt

Predicting the Predictable in the Psychiatric High Risk Eric Strobl

ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning Sahil Sethi, David Chen, Thomas Statchen, Michael C. Burkhart, Nipun Bhandari, Bashar Ramadan, Brett Beaulieu-Jones

Rare Disease Differential Diagnosis with Large Language Models at Scale: From Abdominal Actinomycosis to Wilson’s Disease Elliot Schumacher, Dhruv Naik, Anitha Kannan

ScaffoldGPT: A Scaffold-Based GPT Model for Drug Optimization Xuefeng Liu, Songhao Jiang, Ian Foster, Jinbo Xu, Rick L. Stevens

Stage-Aware Event-Based Modeling (SA-EBM) for Disease Progression Hongtao Hao, Vivek Prabhakaran, Veena A Nair, Nagesh Adluru, Joseph Austerweil

State-of-the-Art Text-Prompted Medical Segmentation Models Struggle to Ground Chest CT Findings Mohammed Baharoon, Luyang Luo, Michael Moritz, Abhinav Kumar, Sung Eun Kim, Xiaoman Zhang, Miao Zhu, Kent Kleinschmidt, Sri Sai Dinesh Jaliparthi, Sathvik Suryadevara, Rithvik Akula, Mark Marino, Wenhui Lei, Ibrahim Ethem Hamamci, Pranav Rajpurkar

Stepwise Fine and Gray: Subject-Specific Variable Selection Shows When Hemodynamic Data Improves Prognostication of Comatose Post-Cardiac Arrest Patients Xiaobin Shen, Jonathan Elmer, George H. Chen

Switching State Space Modeling via Constrained Inference for Clinical Outcome Prediction Arnold Su, Anna Wong, Fareed Sheriff, Ardavan Saeedi, Li-wei H. Lehman

The Geometry of Queries: Query-Based Innovations in Retrieval-Augmented Generation for Healthcare QA Eric Yang, Jonathan Amar, Jong Ha Lee, Bhawesh Kumar, Yugang Jia

The Impact of Image Resolution on Biomedical Multimodal Large Language Models Liangyu Chen, James Burgess, Jeffrey J Nirschl, Orr Zohar, Serena Yeung-Levy

Towards Scalable Newborn Screening: Automated General Movement Assessment in Uncontrolled Settings Daphné Chopard, Sonia Laguna, Kieran Chin-Cheong, Annika Dietz, Anna Badura, Sven Wellmann, Julia E Vogt

TrajSurv: Learning Continuous Latent Trajectories from Electronic Health Records for Trustworthy Survival Prediction Sihang Zeng, Lucas Jing Liu, Jun Wen, Meliha Yetisgen, Ruth Etzioni, Gang Luo

Uncertainty-Aware Prediction of Parkinson’s Disease Medication Needs: A Two-Stage Conformal Prediction Approach Ricardo Diaz-Rincon, Muxuan Liang, Adolfo Ramirez-Zamora, Benjamin Shickel