output
20002025
most citedThe importance of transparency and reproducibility in artificial intelligence research

533 citations

Showing 2025Show all

5 papers · 1 filter

cs.CV2025★ 4 cited

The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning

Akis Linardos, Sarthak Pati, Ujjwal Baid +25

We present the design and results of the MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024, which focuses on federated learning (FL) for glioma sub-region segmentation in m…

cs.CY2025★ 8 cited

MedSimAI: Simulation and Formative Feedback Generation to Enhance Deliberate Practice in Medical Education

Yann Hicke, Jadon Geathers, Kellen Vu +8

Medical education faces challenges in providing scalable, consistent clinical skills training. Simulation with standardized patients (SPs) develops communication and diagnostic ski…

cs.HC2025★ 2 cited

Alignment Under Pressure: AR-HMD Support Tools for Action Teams

Jonathan Isaac Segal, Jalynn Blu Nicoly, Huajie Cao +7

Team communication breakdowns represent a contributor to patient safety risks within action teams-defined as interdependent groups of specialized people who perform coordinated wor…

cs.HC2025★ 27 cited

Exploring Personalized Health Support through Data-Driven, Theory-Guided LLMs: A Case Study in Sleep Health

Xingbo Wang, Janessa Griffith, Daniel A. Adler +3

Despite the prevalence of sleep-tracking devices, many individuals struggle to translate data into actionable improvements in sleep health. Current methods often provide data-drive…

cs.HC2025★ 8 cited

Exploring Data-Driven Advocacy in Home Health Care Work

Joy Ming, Hawi H Tolera, Jiamin Tu +6

This paper explores opportunities and challenges for data-driven advocacy to support home care workers, an often overlooked group of low-wage, frontline health workers. First, we i…