Evidence map›Paper›PMID 42782909›Full record

ArticleCurrent oncology (Toronto, Ont.)2026

The Use of Artificial Intelligence Chatbots by Newly Diagnosed Cancer Patients: A Descriptive Phenomenological Study.

Mustafa Serkan Alemdar, Yağmur Çolak, İlhan Günbayı, Hasan Mutlu

Abstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Mustafa Serkan AlemdarDepartment of Medical Oncology, Istinye University, Istanbul 34396, Türkiye.
Yağmur ÇolakDepartment of Psychiatric Nursing, Faculty of Nursing, Akdeniz University, Antalya 07070, Türkiye.ORCID 0000-0002-2926-1306
İlhan GünbayıDepartment of Educational Administration, Faculty of Education, Akdeniz University, Antalya 07070, Türkiye.ORCID 0000-0001-7139-0200
Hasan MutluDepartment of Medical Oncology, Medical Park Hospital, Antalya 07160, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After a cancer diagnosis, patients experience intense uncertainty and increasingly resort to artificial intelligence chatbots in this process; however, how this use is experienced by patients has not been adequately studied. This study aimed to explore the experiences of adult patients diagnosed with cancer in the last six months using artificial intelligence (AI) chatbots. Using a descriptive phenomenological approach, face-to-face semi-structured interviews were carried out with 20 adults sampled by a criterion-based purposive sampling method in an oncology clinic in Türkiye. The data were analyzed according to Colaizzi's method, and the following four main themes were revealed: artificial intelligence usage purposes, the experience of interacting with AI, the effect of the patient's reflection on the AI experience on the relationship with the treatment team, and evaluation of the use of AI. The participants used chatbots as an intermediate resource during the period of uncertainty between the examination result and clinical explanation; some learned their diagnosis for the first time in this way. However, the relief provided by chatbots was temporary, and trust in chatbot results was constantly tested by the statements of the healthcare professional. As a result, some participants hid their use of chatbots for fear of being judged. AI chatbots served as a complementary source of information, but they did not replace the relationship with the healthcare professional. These findings suggest that healthcare professionals should ask patients about chatbot use without judgment, and that support provided during the post-examination waiting process could be strengthened.

Indexed as

Artificial IntelligenceNeoplasmsAdultAgedFemaleHumansMaleMiddle Agedartificial intelligencecancer diagnosischatbotpatient experiencequalitative research

Identifiers

PMID42782909
PMCPMC13605247

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