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Artificial intelligence and patient narratives: A novel approach to assessing hope in patients with cancer

  • Authors:
    • Hakan Şat Bozcuk
    • Halil Göksel Güzel
    • Mustafa Özgür Arici
    • Mustafa Yildiz
    • Murat Koçer
    • Bilgeşah Kiliçtaş
    • Mehmet Artaç
    • Gökhan Karakaya
    • Hasan Şenol Coşkun
  • View Affiliations / Copyright

    Affiliations: Department of Medical Oncology, Medical Park Antalya Hospital, Antalya 07160, Turkey, Department of Medical Oncology, SBU Antalya Training and Research Hospital, Antalya 07100, Turkey, Department of Medical Oncology, Necmettin Erbakan University Hospital, Konya 04280, Turkey, Department of Medical Oncology, Vakıf (ASV) Yaşam Hospital, Antalya 07300, Turkey
    Copyright: © Bozcuk et al. This is an open access article distributed under the terms of Creative Commons Attribution License [CC BY 4.0].
  • Article Number: 41
    |
    Published online on: May 7, 2025
       https://doi.org/10.3892/mi.2025.240
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Abstract

The present study aimed to evaluate the feasibility of patient‑generated text and its interpretation by artificial intelligence (AI) as a valid correlate of hope levels in patients with cancer. For this purpose, four medical centers recruited consecutive patients with cancer and the patients were administered a questionnaire to collect data on patient characteristics and a shortened version of the Adult Trait Hope Scale (s‑ATHS). Additionally, all participants provided written text on their hope levels, which was then analyzed by a deep neural network model. AI predicted hope labels, as well as numerous patient, disease and center features which were then associated with the scores from s‑ATHS using univariate and multivariate gamma regression analyses. The present study comprised 461 patients with cancer, 194 (42.1%) of whom had metastatic disease. Multivariate gamma regression analysis identified three variables independently associated with hope index scores (s‑ATHS): Treatment center (B=‑0.09, Wald=4.77, P=0.029), Eastern Cooperative Oncology Group (ECOG) performance status (B=‑0.09, Wald=47.41, P<0.001) and AI‑predicted hope level (B=0.06, Wald=44.24, P<0.001). The results revealed that cases from one of the centers in the present study, a university hospital located in a different city than the other centers, exhibited higher hope levels. Additionally, a poorer ECOG performance status and lower AI‑predicted hope levels were associated with reduced hope index scores (s‑ATHS). On the whole, the present study demonstrates that AI‑predicted hope levels are associated with hope index scores (s‑ATHS), suggesting that monitoring AI‑predicted hope levels may provide valuable insight in the practice of oncology.
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Copy and paste a formatted citation
Spandidos Publications style
Bozcuk HŞ, Güzel HG, Arici MÖ, Yildiz M, Koçer M, Kiliçtaş B, Artaç M, Karakaya G and Coşkun HŞ: Artificial intelligence and patient narratives: A novel approach to assessing hope in patients with cancer. Med Int 5: 41, 2025.
APA
Bozcuk, H.Ş., Güzel, H.G., Arici, M.Ö., Yildiz, M., Koçer, M., Kiliçtaş, B. ... Coşkun, H.Ş. (2025). Artificial intelligence and patient narratives: A novel approach to assessing hope in patients with cancer. Medicine International, 5, 41. https://doi.org/10.3892/mi.2025.240
MLA
Bozcuk, H. Ş., Güzel, H. G., Arici, M. Ö., Yildiz, M., Koçer, M., Kiliçtaş, B., Artaç, M., Karakaya, G., Coşkun, H. Ş."Artificial intelligence and patient narratives: A novel approach to assessing hope in patients with cancer". Medicine International 5.4 (2025): 41.
Chicago
Bozcuk, H. Ş., Güzel, H. G., Arici, M. Ö., Yildiz, M., Koçer, M., Kiliçtaş, B., Artaç, M., Karakaya, G., Coşkun, H. Ş."Artificial intelligence and patient narratives: A novel approach to assessing hope in patients with cancer". Medicine International 5, no. 4 (2025): 41. https://doi.org/10.3892/mi.2025.240
Copy and paste a formatted citation
x
Spandidos Publications style
Bozcuk HŞ, Güzel HG, Arici MÖ, Yildiz M, Koçer M, Kiliçtaş B, Artaç M, Karakaya G and Coşkun HŞ: Artificial intelligence and patient narratives: A novel approach to assessing hope in patients with cancer. Med Int 5: 41, 2025.
APA
Bozcuk, H.Ş., Güzel, H.G., Arici, M.Ö., Yildiz, M., Koçer, M., Kiliçtaş, B. ... Coşkun, H.Ş. (2025). Artificial intelligence and patient narratives: A novel approach to assessing hope in patients with cancer. Medicine International, 5, 41. https://doi.org/10.3892/mi.2025.240
MLA
Bozcuk, H. Ş., Güzel, H. G., Arici, M. Ö., Yildiz, M., Koçer, M., Kiliçtaş, B., Artaç, M., Karakaya, G., Coşkun, H. Ş."Artificial intelligence and patient narratives: A novel approach to assessing hope in patients with cancer". Medicine International 5.4 (2025): 41.
Chicago
Bozcuk, H. Ş., Güzel, H. G., Arici, M. Ö., Yildiz, M., Koçer, M., Kiliçtaş, B., Artaç, M., Karakaya, G., Coşkun, H. Ş."Artificial intelligence and patient narratives: A novel approach to assessing hope in patients with cancer". Medicine International 5, no. 4 (2025): 41. https://doi.org/10.3892/mi.2025.240
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