AI for Healthcare

Exploring Collaboration Breakdowns Between Provider Teams and Patients in Post-Surgery Care

Post-surgery care involves ongoing collaboration between provider teams and patients, which starts from post-surgery hospitalization through home recovery after discharge. While prior HCI research has primarily examined patients’ challenges at home, …

Balancing Efficiency and Empathy: Healthcare Providers’ Perspectives on AI-Supported Workflows for Serious Illness Conversations in the Emergency Department

RECOVER: Designing a Large Language Model-based Remote Patient Monitoring System for Postoperative GI Cancer Care

MIND: Empowering Mental Health Clinicians with Multimodal Data Insights through a Narrative Dashboard

WatchGuardian: Enabling User-Defined Personalized Just-in-Time Intervention on Smartwatch

While just-in-time interventions (JITIs) have effectively targeted common health behaviors, individuals often have unique needs to intervene in personal undesirable actions that can negatively affect physical, mental, and social well-being. We …

SurgWound-Bench: A Benchmark for Surgical Wound Diagnosis

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 preventing SSIs and improving patient outcomes. While recent studies have …

Bridging Knowledge Gaps in Clinical AI: An Activity Theory Perspective on Interdisciplinary Data Work for Telehealth

Vital Insight: Assisting Experts’ Context-Driven Sensemaking of Multi-modal Personal Tracking Data Using Visualization and Human-in-the-Loop LLM

Large Language Models with Temporal Reasoning for Longitudinal Clinical Summarization and Prediction

Promoting Prosociality via Micro-acts of Joy: A Large-Scale Well-Being Intervention Study