activity
20192023
most citedCheXplain: Enabling Physicians to Explore and UnderstandData-Driven, AI-Enabled Medical Imaging Analysis

118 citations · 274 across the 17 of their papers we have counts for

collaborators
Showing 2020Show all

8 papers · 1 filter

cs.HC2020★ 2 cited

OralViewer: 3D Demonstration of Dental Surgeries for Patient Education with Oral Cavity Reconstruction from a 2D Panoramic X-ray

Yuan Liang, Liang Qiu, Tiancheng Lu +8

Patient's understanding on forthcoming dental surgeries is required by patient-centered care and helps reduce fear and anxiety. Due to the gap of expertise between patients and den…

cs.HC2020★ 7 cited

FaceOff: Detecting Face Touching with a Wrist-Worn Accelerometer

Xiang 'Anthony' Chen

According to the CDC, one key step of preventing oneself from contracting coronavirus (COVID-19) is to avoid touching eyes, nose, and mouth with unwashed hands. However, touching o…

cs.HC2020★ 1 cited

Romeo: A Design Tool for Embedding Transformable Parts in 3D Models to Robotically Augment Default Functionalities

Jiahao Li, Meilin Cui, Jeeeun Kim +1

Reconfiguring shapes of objects enables transforming existing passive objects with robotic functionalities, e.g., a transformable coffee cup holder can be attached to a chair's arm…

cs.HC2020

Geno: A Developer Tool for Authoring Multimodal Interaction on Existing Web Applications

Ritam Jyoti Sarmah, Yunpeng Ding, Di Wang +3

Supporting voice commands in applications presents significant benefits to users. However, adding such support to existing GUI-based web apps is effort-consuming with a high learni…

cs.HC2020

XAlgo: a Design Probe of Explaining Algorithms' Internal States via Question-Answering

Juan Rebanal, Yuqi Tang, Jordan Combitsis +1

Algorithms often appear as 'black boxes' to non-expert users. While prior work focuses on explainable representations and expert-oriented exploration, we propose and study an inter…

cs.HC2020★ 56 cited

Lessons Learned from Designing an AI-Enabled Diagnosis Tool for Pathologists

Hongyan Gu, Jingbin Huang, Lauren Hung +1

Despite the promises of data-driven artificial intelligence (AI), little is known about how we can bridge the gulf between traditional physician-driven diagnosis and a plausible fu…

cs.HC2020★ 3 cited

Improving Workflow Integration with xPath: Design and Evaluation of a Human-AI Diagnosis System in Pathology

Hongyan Gu, Yuan Liang, Yifan Xu +12

Recent developments in AI have provided assisting tools to support pathologists' diagnoses. However, it remains challenging to incorporate such tools into pathologists' practice; o…

cs.HC2020★ 118 cited

CheXplain: Enabling Physicians to Explore and UnderstandData-Driven, AI-Enabled Medical Imaging Analysis

Yao Xie, Melody Chen, David Kao +2

The recent development of data-driven AI promises to automate medical diagnosis; however, most AI functions as 'black boxes' to physicians with limited computational knowledge. Usi…