activity
20192026
most citedTransformers in Healthcare: A Survey

176 citations · 224 across the 39 of their papers we have counts for

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Showing cs.HCShow all

5 papers · 1 filter

cs.HC2025

Validation of the MySurgeryRisk Algorithm for Predicting Complications and Death after Major Surgery: A Retrospective Multicenter Study Using OneFlorida Data Trust

Yuanfang Ren, Esra Adiyeke, Ziyuan Guan +6

Despite advances in surgical techniques and care, postoperative complications are prevalent and effects up to 15% of the patients who underwent a major surgery. The objective of th…

cs.HC2025★ 1 cited

Human-Centered Development of an Explainable AI Framework for Real-Time Surgical Risk Surveillance

Andrea E Davidson, Jessica M Ray, Yulia Levites Strekalova +2

Background: Artificial Intelligence (AI) clinical decision support (CDS) systems have the potential to augment surgical risk assessments, but successful adoption depends on an unde…

cs.HC2025

An Iterative, User-Centered Design of a Clinical Decision Support System for Critical Care Assessments: Co-Design Sessions with ICU Clinical Providers

Andrea E. Davidson, Jessica M. Ray, Ayush K. Patel +3

This study reports the findings of qualitative interview sessions conducted with ICU clinicians for the co-design of a system user interface of an artificial intelligence (AI)-driv…

cs.HC2024★ 2 cited

Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications

Yuanfang Ren, Chirayu Tripathi, Ziyuan Guan +10

Given the sheer volume of surgical procedures and the significant rate of postoperative fatalities, assessing and managing surgical complications has become a critical public healt…

cs.HC2021

Posture Recognition in the Critical Care Settings using Wearable Devices

Anis Davoudi, Patrick J. Tighe, Azra Bihorac +1

Low physical activity levels in the intensive care units (ICU) patients have been linked to adverse clinical outcomes. Therefore, there is a need for continuous and objective measu…