MLHC 2024

37 papers

MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting

Arnold Caleb Asiimwe, Didac Suris Coll-Vinent, Pranav Rajpurkar, Carl Vondrick

Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation

Oishi Banerjee, Hong-Yu Zhou, Kay Wu, Subathra Adithan, Stephen Kwak

Leveraging LLMs for Multimodal Medical Time Series Analysis

Nimeesha Chan, Felix Parker, William C Bennett, Tianyi Wu, Mung Yao Jia

Beyond Clinical Trials: Using Real World Evidence to Investigate Heterogeneous, Time-Varying Treatment Effects

Isabel Chien, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno

MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance

Jihye Choi, Nils Palumbo, Prasad Chalasani, Matthew M. Engelhard, Somesh Jha

NeRF-US: Removing Ultrasound Imaging Artifacts from Neural Radiance Fields in the Wild

Rishit Dagli, Atsuhiro Hibi, Rahul Krishnan, Pascal N Tyrrell

Multinomial belief networks for healthcare data

Hylke Cornelis Donker, Dorien Neijzen, Johann de Jong, Gerton Lunter

Multimodal Sleep Apnea Detection with Missing or Noisy Modalities

Hamed Fayyaz, Niharika S. D’Souza, Rahmatollah Beheshti

Minimax Risk Classifiers for Mislabeled Data: a Study on Patient Outcome Prediction Tasks

Lucia Filippozzi, Santiago Mazuelas, Inigo Urteaga

PRECISe : Prototype-Reservation for Explainable classification under Imbalanced and Scarce-Data Settings

Vaibhav Ganatra, Drishti Goel

Predicting Long-Term Allograft Survival in Liver Transplant Recipients

Xiang Gao, Michael Cooper, Maryam Naghibzadeh, Amirhossein Azhie, Mamatha Bhat

Risk stratification through class-conditional conformal estimation: A strategy that improves the rule-out performance of MACE in the prehospital setting

Juan Jose Garcia, Nikhil Sarin, Rebecca R. Kitzmiller, Ashok Krishnamurthy, Jessica K. Zègre-Hemsey

LLMSYN: Generating Synthetic Electronic Health Records Without Patient-Level Data

Yijie Hao, Huan He, Joyce C. Ho

FineRadScore: A Radiology Report Line-by-Line Evaluation Technique Generating Corrections with Severity Scores

Alyssa Huang, Oishi Banerjee, Kay Wu, Eduardo Pontes Reis, Pranav Rajpurkar

Benchmarking Reliability of Deep Learning Models for Pathological Gait Classification

Abhishek Jaiswal, Nisheeth Srivastava

General-Purpose Retrieval-Enhanced Medical Prediction Model Using Near-Infinite History

Junu Kim, Chaeeun Shim, Bosco Seong Kyu Yang, Chami Im, Sung Yoon Lim

Mixed Type Multimorbidity Variational Autoencoder: A Deep Generative Model for Multimorbidity Analysis

Woojung Kim, Paul A. Jenkins, Christopher Yau

Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using Schedule-of-Event Table Detection

Bhawesh Kumar, Jonathan Amar, Eric Yang, Nan Li, Yugang Jia

A LUPI distillation-based approach: Application to predicting Proximal Junctional Kyphosis

Yun Chao Lin, Andrea Clark-Sevilla, Rohith Ravindranath, Fthimnir Hassan, Justin Reyes

Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Sensor Data

Sujay Nagaraj, Andrew J Goodwin, Dmytro Lopushanskyy, Sebastian David Goodfellow, Danny Eytan

Localising the Seizure Onset Zone from Single-Pulse Electrical Stimulation Responses with a CNN Transformer

Jamie Norris, Aswin Chari, Dorien van Blooijs, Gerald K. Cooray, Karl Friston

CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT

Mikkel Fruelund Odgaard, Kiril Vadimovic Klein, Martin Sillesen, Sanne Møller Thysen, Espen Jimenez-Solem

Event-Based Contrastive Learning for Medical Time Series

Nassim Oufattole, Hyewon Jeong, Matthew B.A. McDermott, Aparna Balagopalan, Bryan Jangeesingh

XDT-CXR: Investigating Cross-Disease Transferability in Zero-Shot Binary Classification of Chest X-Rays

Umaima Rahman, Abhishek Basu, Muhammad Uzair Khattak, Aniq Ur Rahman

To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling

Saige Rutherford, Thomas Wolfers, Charlotte Fraza, Nathaniel G. Harnett, Christian Beckmann

Predictive Powered Inference for Healthcare; Relating Optical Coherence Tomography Scans to Multiple Sclerosis Disease Progression

Jacob Schultz, Jerry L Prince, Bruno Michel Jedynak

Decision-Focused Model-based Reinforcement Learning for Reward Transfer

Abhishek Sharma, Sonali Parbhoo, Omer Gottesman, Finale Doshi-velez

The Data Addition Dilemma

Judy Hanwen Shen, Inioluwa Deborah Raji, Irene Y. Chen

Network-Assisted Mediation Analysis with High-Dimensional Neuroimaging Mediators

Baoyi Shi, Ying Liu, Shanghong Xie, Xi Zhu, Yuanjia Wang

Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learning

Ziyang Song, Qincheng Lu, He Zhu, David L. Buckeridge, Yue Li

Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series Forecasting

Michael Staniek, Marius Fracarolli, Michael Hagmann, Stefan Riezler

A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical Datasets

Fatemeh Tavakoli, D. B. Emerson, Sana Ayromlou, John Taylor Jewell, Amrit Krishnan

Semi-Supervised Generative Models for Disease Trajectories: A Case Study on Systemic Sclerosis

Cécile Trottet, Manuel Schürch, Ahmed Allam, Imon Shoumitra Barua, Liubov Petelytska

FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records

Yuqing Wang, Malvika Pillai, Yun Zhao, Catherine M Curtin, Tina Hernandez-Boussard

G-Transformer: Counterfactual Outcome Prediction under Dynamic and Time-varying Treatment Regimes

Hong Xiong, Feng Wu, Leon Deng, Megan Su, Li-wei H. Lehman

Automatically Extracting Numerical Results from Randomized Controlled Trials with Large Language Models

Hye Sun Yun, David Pogrebitskiy, Iain James Marshall, Byron C Wallace

DOSSIER: Fact Checking in Electronic Health Records while Preserving Patient Privacy

Haoran Zhang, Supriya Nagesh, Milind Shyani, Nina Mishra