83 citations · 163 across the 21 of their papers we have counts for
23 papers
Exploring Collaboration Breakdowns Between Provider Teams and Patients in Post-Surgery Care
Bingsheng Yao, Menglin Zhao, Zhan Zhang +11
Post-surgery care involves ongoing collaboration between provider teams and patients, which starts from post-surgery hospitalization through home recovery after discharge. While pr…
SurgWound-Bench: A Benchmark for Surgical Wound Diagnosis
Jiahao Xu, Changchang Yin, Odysseas Chatzipanagiotou +6
Surgical site infection (SSI) is one of the most common and costly healthcare-associated infections and and surgical wound care remains a significant clinical challenge in preventi…
SatHealth: A Multimodal Public Health Dataset with Satellite-based Environmental Factors
Yuanlong Wang, Pengqi Wang, Changchang Yin +1
Living environments play a vital role in the prevalence and progression of diseases, and understanding their impact on patient's health status becomes increasingly crucial for deve…
More Modality, More AI: Exploring Design Opportunities of AI-Based Multi-modal Remote Monitoring Technologies for Early Detection of Mental Health Sequelae in Youth Concussion Patients
Bingsheng Yao, Menglin Zhao, Yuling Sun +7
Anxiety, depression, and suicidality are common mental health sequelae following concussion in youth patients, often exacerbating concussion symptoms and prolonging recovery. Despi…
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation
Changchang Yin, Hong-You Chen, Wei-Lun Chao +1
Individual treatment effect (ITE) estimation is to evaluate the causal effects of treatment strategies on some important outcomes, which is a crucial problem in healthcare. Most ex…
Foundation Model in Biomedicine
Xiangrui Liu, Yuanyuan Zhang, Qianyu Shang +14
Foundation models, first introduced in 2021, refer to large-scale pretrained models (e.g., large language models (LLMs) and vision-language models (VLMs)) that learn from extensive…
WatchGuardian: Enabling User-Defined Personalized Just-in-Time Intervention on Smartwatch
Ying Lei, Yancheng Cao, Will Wang +13
While just-in-time interventions (JITIs) have effectively targeted common health behaviors, individuals often have unique needs to intervene in personal undesirable actions that ca…
SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction
Changchang Yin, Shihan Fu, Bingsheng Yao +5
Sepsis is an organ dysfunction caused by a deregulated immune response to an infection. Early sepsis prediction and identification allow for timely intervention, leading to improve…
Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm
Thai-Hoang Pham, Yuanlong Wang, Changchang Yin +2
Domain adaptation (DA) tackles the issue of distribution shift by learning a model from a source domain that generalizes to a target domain. However, most existing DA methods are d…
CardioAI: A Multimodal AI-based System to Support Symptom Monitoring and Risk Detection of Cancer Treatment-Induced Cardiotoxicity
Siyi Wu, Weidan Cao, Shihan Fu +7
Despite recent advances in cancer treatments that prolong patients' lives, treatment-induced cardiotoxicity remains one severe side effect. The clinical decision-making of cardioto…
Clinical Challenges and AI Opportunities in Decision-Making for Cancer Treatment-Induced Cardiotoxicity
Siyi Wu, Weidan Cao, Shihan Fu +7
Cardiotoxicity induced by cancer treatment has become a major clinical concern, affecting the long-term survival and quality of life of cancer patients. Effective clinical decision…
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing
Changchang Yin, Pin-Yu Chen, Bingsheng Yao +3
Sepsis is the leading cause of in-hospital mortality in the USA. Early sepsis onset prediction and diagnosis could significantly improve the survival of sepsis patients. Existing p…
MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context
Zishan Gu, Changchang Yin, Fenglin Liu +1
Large Vision Language Models (LVLMs) have recently achieved superior performance in various tasks on natural image and text data, which inspires a large amount of studies for LVLMs…
Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning
Zishan Gu, Fenglin Liu, Changchang Yin +1
The adoption of large language models (LLMs) in healthcare has attracted significant research interest. However, their performance in healthcare remains under-investigated and pote…
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records
Jiayuan Chen, Changchang Yin, Yuanlong Wang +1
Deep learning-based predictive models, leveraging Electronic Health Records (EHR), are receiving increasing attention in healthcare. An effective representation of a patient's EHR…
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis
Shao Zhang, Jianing Yu, Xuhai Xu +8
Today's AI systems for medical decision support often succeed on benchmark datasets in research papers but fail in real-world deployment. This work focuses on the decision making o…
Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes
Changchang Yin, Ruoqi Liu, Jeffrey Caterino +1
Despite intense efforts in basic and clinical research, an individualized ventilation strategy for critically ill patients remains a major challenge. Recently, dynamic treatment re…
Temporal Clustering with External Memory Network for Disease Progression Modeling
Zicong Zhang, Changchang Yin, Ping Zhang
Disease progression modeling (DPM) involves using mathematical frameworks to quantitatively measure the severity of how certain disease progresses. DPM is useful in many ways such…
Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning
Thai-Hoang Pham, Changchang Yin, Laxmi Mehta +2
Complication risk profiling is a key challenge in the healthcare domain due to the complex interaction between heterogeneous entities (e.g., visit, disease, medication) in clinical…
Contrastive Attention for Automatic Chest X-ray Report Generation
Fenglin Liu, Changchang Yin, Xian Wu +4
Recently, chest X-ray report generation, which aims to automatically generate descriptions of given chest X-ray images, has received growing research interests. The key challenge o…
Brain Atlas Guided Attention U-Net for White Matter Hyperintensity Segmentation
Zicong Zhang, Kimerly Powell, Changchang Yin +4
White Matter Hyperintensities (WMH) are the most common manifestation of cerebral small vessel disease (cSVD) on the brain MRI. Accurate WMH segmentation algorithms are important t…
Estimating Individual Treatment Effects with Time-Varying Confounders
Ruoqi Liu, Changchang Yin, Ping Zhang
Estimating the individual treatment effect (ITE) from observational data is meaningful and practical in healthcare. Existing work mainly relies on the strong ignorability assumptio…
Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding
Zihao Zhu, Changchang Yin, Buyue Qian +3
Evaluating the clinical similarities between pairwise patients is a fundamental problem in healthcare informatics. A proper patient similarity measure enables various downstream ap…