Evaluating a Chatbot as a Companion for Patients With Breast Cancer: Collaborative Pilot Study

Our findings demonstrate that an artificial intelligence-powered chatbot with GPT-4 and retrieval augmentation can effectively provide personalized, linguistically accessible, and largely accurate information to German-speaking patients with breast cancer. This approach holds considerable promise for improving patient-centered communication, empowering patients to make informed decisions. Nonetheless, observed limitations regarding response completeness and potential harm underscore the critical need for ongoing human oversight. Future research and development should prioritize regularly updated databases, advanced retrieval methods to handle complex document structures, multimodal capabilities, and clearly articulated disclaimers emphasizing the necessity of professional medical consultation. Our evaluation, along with the provided set of realistic patient questions, establishes a benchmark for future development and validation of German-language oncology chatbots.

Authors

Institutions

Publication Details

Journal
JMIR Cancer
Published
2025-06-17
DOI
https://doi.org/10.2196/68426
Citations
2
Primary Topic
Economic and Financial Impacts of Cancer
Type
article
Field-Weighted Citation Impact
6.26
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating a Chatbot as a Companion for Patients With Breast Cancer: Collaborative Pilot Study

Sebastian Daniel Boie, Michael P. Lux, Esther Glastetter, Christof von Kalle et al.
2 citations
JMIR Cancer
Economic and Financial Impacts of Cancer
6.26
article

Evaluating a Chatbot as a Companion for Patients With Breast Cancer: Collaborative Pilot Study

Sebastian Daniel Boie, Michael P. Lux, Esther Glastetter, Christof von Kalle, Felix Balzer, Ulrich Müller, Christian Lenz
article en
2 citations

Abstract

Our findings demonstrate that an artificial intelligence-powered chatbot with GPT-4 and retrieval augmentation can effectively provide personalized, linguistically accessible, and largely accurate information to German-speaking patients with breast cancer. This approach holds considerable promise for improving patient-centered communication, empowering patients to make informed decisions. Nonetheless, observed limitations regarding response completeness and potential harm underscore the critical need for ongoing human oversight. Future research and development should prioritize regularly updated databases, advanced retrieval methods to handle complex document structures, multimodal capabilities, and clearly articulated disclaimers emphasizing the necessity of professional medical consultation. Our evaluation, along with the provided set of realistic patient questions, establishes a benchmark for future development and validation of German-language oncology chatbots.

JMIR CancerVol. 11
Humboldt-Universität zu Berlin (DE), Pfizer (Germany) (DE), St. Vincenz-Krankenhaus Limburg (DE), Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE), Freie Universität Berlin (DE), Charité - Universitätsmedizin Berlin (DE)
Openalex Percentile: Top 4%
Economic and Financial Impacts of Cancer
6.26
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.