Where Can Artificial Intelligence Assist Cancer Care?: Examining Patient‐Centered Communication Dimension Effects

PCC and communication outcomes are associated with cancer patients' preferences in future AI use. Our study sheds light on how clinicians may improve their communication to educate patients on navigating the cancer care continuum using AI technology.

Authors

Institutions

Publication Details

Journal
Health Services Research
Published
2025-06-06
DOI
https://doi.org/10.1111/1475-6773.14653
Citations
2
Primary Topic
Patient-Provider Communication in Healthcare
Type
article
Field-Weighted Citation Impact
5.63

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Where Can Artificial Intelligence Assist Cancer Care?: Examining Patient‐Centered Communication Dimension Effects

Qiwei Wu, Grace Ellen Brannon, Yue Liao
2 citations
Health Services Research
Patient-Provider Communication in Healthcare
5.63
article

Where Can Artificial Intelligence Assist Cancer Care?: Examining Patient‐Centered Communication Dimension Effects

Qiwei Wu, Grace Ellen Brannon, Yue Liao
article en
2 citations

Abstract

PCC and communication outcomes are associated with cancer patients' preferences in future AI use. Our study sheds light on how clinicians may improve their communication to educate patients on navigating the cancer care continuum using AI technology.

Health Services ResearchVol. 61(2)
Texas Tech University (US), The University of Texas at Arlington (US)
American Heart Association
Quality Education
Openalex Percentile: Top 5%
Patient-Provider Communication in Healthcare
5.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.