Interpretation of Intracardiac Electrograms Through Textual Representations
William Han; Diana Guadalupe Gomez; Avi Alok; Chaojing Duan; Michael A. Rosenberg; Douglas J Weber; Emerson Liu; Ding Zhao
DDOS: A GRAPH NEURAL NETWORK BASED DRUG SYNERGY PREDICTION ALGORITHM
Kyriakos Schwarz; Pliego Mendieta Alicia; Amina Mollaysa; Planas-Paz Lara; Chantal Pauli; Ahmed Allam; Michael Krauthammer
Daily Physical Activity Monitoring---Adaptive Learning from Multi-source Motion Sensor Data
Haoting Zhang; Donglin Zhan; Yunduan Lin; Jinghai He; Qing Zhu; Zuo-Jun Shen; Zeyu Zheng
Enhancing Collaborative Medical Outcomes through Private Synthetic Hypercube Augmentation: PriSHA
Shinpei Nakamura Sakai; Dennis Shung; Jasjeet S Sekhon
Integrating ChatGPT into Secure Hospital Networks: A Case Study on Improving Radiology Report Analysis
Kyungsu Kim; Junhyun Park; Saul Langarica; Adham Mahmoud Alkhadrawi; Synho Do
Multiple Instance Learning with Absolute Position Information
Meera Krishnamoorthy; Jenna Wiens
SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals
Runze Yan; Cheng Ding; Ran Xiao; Alex Fedorov; Randall J Lee; Fadi Nahab; Xiao Hu
An Improved Bayesian Permutation Entropy Estimator with Wasserstein-Optimized Hierarchical Priors
Zachary Blanks; Donald E. Brown; Marc A. Adams; Siddhartha S. Angadi
Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation
Hui Wei; Maxwell A Xu; Colin Samplawski; James Matthew Rehg; Santosh Kumar; Benjamin Marlin
Regularizing and Interpreting Vision Transformer by Patch Selection on Echocardiography Data
Alfred Nilsson; Hossein Azizpour
A Machine Learning Approach for Predicting Upper Limb Motion Intentions with Multimodal Data
Pavan Uttej Ravva; Pinar Kullu; Mohammad Fahim Abrar; Roghayeh Leila Barmaki
From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR
Ran Xu; Yiwen Lu; Chang Liu; Yong Chen; Yan Sun; Xiao Hu; Joyce C. Ho; Carl Yang
Explainable and Privacy-Preserving Machine Learning via Domain-Aware Symbolic Regression
Kei Sen Fong; Mehul Motani
Simulation of Health Time Series with Nonstationarity
Adedolapo Aishat Toye; Louis Gomez; Samantha Kleinberg
Brain-Mamba: Encoding Brain Activity via Selective State Space Models
Ali Behrouz; Farnoosh Hashemi
Data-driven subgrouping of patient trajectories with chronic diseases: Evidence from low back pain
Christof Friedrich Naumzik; Alice Kongsted; Werner Vach; Stefan Feuerriegel
Vision-Language Generative Model for View-Specific Chest X-ray Generation
Hyungyung Lee; Da Young Lee; Wonjae Kim; Jin-Hwa Kim; Tackeun Kim; Jihang Kim; Leonard Sunwoo; Edward Choi
FAMEWS: a Fairness Auditing tool for Medical Early-Warning Systems
Marine Hoche; Olga Mineeva; Manuel Burger; Alessandro Blasimme; Gunnar Ratsch
FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking
Lorenzo Bini; Fatemeh Nassajian Mojarrad; Margarita Liarou; Thomas Matthes; Stephane Marchand-Maillet
A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models
Stefan Hegselmann; Zejiang Shen; Florian Gierse; Monica Agrawal; David Sontag; Xiaoyi Jiang
Addressing wearable sleep tracking inequity: a new dataset and novel methods for a population with sleep disorders
Will Ke Wang; Jiamu Yang; Leeor Hershkovich; Hayoung Jeong; Bill Chen; Karnika Singh; Ali R Roghanizad; Md Mobashir Hasan Shandhi; Andrew R Spector; Jessilyn Dunn
FETCH: A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems
Alireza Amirshahi; Jonathan Dan; Jose Angel Miranda; Amir Aminifar; David Atienza
Interpretable breast cancer classification using CNNs on mammographic images
Ann-Kristin Balve; Peter Hendrix
Using Expert Gaze for Self-Supervised and Supervised Contrastive Learning of Glaucoma from OCT Data
Wai Tak Lau; Ye Tian; Roshan Kenia; Saanvi Aima; Kaveri A. Thakoor
Tuning In: Comparative Analysis of Audio Classifier Performance in Clinical Settings with Limited Data
Hamza Mahdi; Eptehal Nashnoush; Rami Saab; Arjun Balachandar; Rishit Dagli; Lucas Perri; Houman Khosravani
s-SuStaIn : Scaling subtype and stage inference via simultaneous clustering of subjects and biomarkers
Raghav Tandon; James J Lah; Cassie S. Mitchell
Regulating AI Adaptation: An Analysis of AI Medical Device Updates
Kevin Wu; Eric Wu; Kit Rodolfa; Daniel E. Ho; James Zou
Retrieving Evidence from EHRs with LLMs: Possibilities and Challenges
Hiba Ahsan; Denis Jered McInerney; Jisoo Kim; Christopher A Potter; Geoffrey Young; Silvio Amir; Byron C Wallace
Development of Error Passing Network for Optimizing the Prediction of VO$_2$ peak in Childhood Acute Leukemia Survivors
Nicolas Raymond; Hakima Laribi; Maxime Caru; Mehdi Mitiche; Valerie Marcil; Maja Krajinovic; Daniel Curnier; Daniel Sinnett; Martin Vallières
Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data
Yubin Kim; Xuhai Xu; Daniel McDuff; Cynthia Breazeal; Hae Won Park
Dynamic Survival Analysis for Early Event Prediction
Hugo Yèche; Manuel Burger; Dinara Veshchezerova; Gunnar Ratsch
Contextual unsupervised deep clustering in digital pathology
Mariia Sidulova; Seyed Kahaki; Ian Hagemann; Alexej Gossmann
DoseMate: A Real-world Evaluation of Machine Learning Classification of Pill Taking Using Wrist-worn Motion Sensors
Antoine Nzeyimana; Anthony Campbell; James M Scanlan; Joanne D Stekler; Jenna Marquard; Barry G Saver; Jeremy Gummeson
Systematic Evaluation of Self-Supervised Learning Approaches for Wearable-Based Fatigue Recognition
Tamás Visy; Rita Kuznetsova; Christian Holz; Shkurta Gashi
Adaptive Interventions with User-Defined Goals for Health Behavior Change
Aishwarya Mandyam; Matthew Jörke; William Denton; Barbara E Engelhardt; Emma Brunskill
Algorithmic changes are not enough: Evaluating the removal of race adjustment from the eGFR equation
Marika M. Cusick; Glenn M. Chertow; Douglas K. Owens; Michelle Y. Williams; Sherri Rose
A cross-study analysis of wearable datasets and the generalizability of acute illness monitoring models
Patrick Kasl; Severine Soltani; Lauryn Keeler Bruce; Varun Kumar Viswanath; Wendy Hartogensis; Amarnath Gupta; Ilkay Altintas; Stephan Dilchert; Frederick M. Hecht; Ashley Mason; Benjamin L. Smarr
Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement
Mukund Telukunta; Sukruth Rao; Gabriella Stickney; Venkata Sriram Siddhardh Nadendla; Casey Canfield