Evidence map›Paper›PMID 41076500›Full record

ArticleJournal of cancer education : the official journal of the American Association for Cancer Education2026

Communicating With Children With Cancer: Development of a Chatbot-Based Educational Support Tool.

Eliana Silva, Paulo Pinto, Luís Paulo Reis

Abstract read
In one paragraph

Article in Journal of cancer education : the official journal of the American Association for Cancer Education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Eliana SilvaLIACC/FEUP, Artificial Intelligence and Computer Science Laboratory, Faculty of Engineering, University of Porto, Porto, 4200-465, Portugal. elianasilva@fe.up.pt.ORCID 0000-0003-2003-0488
Paulo PintoLIACC/FEUP, Artificial Intelligence and Computer Science Laboratory, Faculty of Engineering, University of Porto, Porto, 4200-465, Portugal.
Luís Paulo ReisLIACC/FEUP, Artificial Intelligence and Computer Science Laboratory, Faculty of Engineering, University of Porto, Porto, 4200-465, Portugal.ORCID 0000-0002-4709-1718

Funding

Ministério da Ciência, Tecnologia e Ensino Superior Computer Science Laboratory - LIACC - funded by national funds through the FCT/MCTES (PIDDAC).Ministério da Ciência, Tecnologia e Ensino Superior This work was financially supported by: UID/00027 - Artificial Intelligence
6 · The paper itself

Abstract

Effective communication between parents and children is crucial in reducing distress when a child has cancer. Technology, particularly chatbots, can facilitate this communication and provide parents with support. We have developed a chatbot to support parents of children with cancer. Using advanced natural language processing, it provides empathetic, age-appropriate, and informative responses. We created the chatbot using the Dialogflow platform and integrated it into a mobile app and website to ensure broad accessibility. This multi-platform integration provides consistent support, regardless of the device or location used. We conducted a qualitative comparative analysis of our chatbot against other chatbots, such as ChatGPT-4 and Microsoft Copilot. This analysis was based on five standard criteria for the human evaluation of chatbots. In general, our chatbot offered more personalized and targeted support for childhood cancer. Unlike other systems that provide generic responses, our chatbot uses a friendlier tone and tailors its responses based on factors such as the child's age. This project represents a significant advancement in the use of technology to address the complex communication needs associated with childhood cancer. To our knowledge, it is the first chatbot designed specifically for Portuguese-speaking parents. It offers parents personalized, accessible support and provides a scalable, cost-effective solution that complements the efforts of healthcare professionals. In settings with limited resources, the chatbot is an invaluable tool for bridging the gap between medical consultations.

Indexed as

CommunicationMobile ApplicationsNeoplasmsParentsChildHumansInternetArtificial intelligenceCancerChatbotCommunication

Identifiers

PMID41076500
PMCPMC13525000

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.