Generative AI–assisted “Gratitude Song” as Legacy-making in End-of-life Care: A Case Report
- VernacularTitle:終末期がん患者に対する生成AIを活用した「感謝の歌」レガシーメイキング：症例報告
- Author:
Suguru MATSUZAKA
1
;
Emi HARADA
2
;
Hideyuki KASHIWAGI
1
Author Information
- Keywords: music therapy; generative AI; gratitude; legacy-making
- From:Palliative Care Research 2025;20(4):259-263
- CountryJapan
- Language:Japanese
- Abstract: Objective: To report a single-case legacy-making intervention in which generative AI transformed gratitude messages into a song for a terminally ill patient. Methods: A 68-year-old woman with advanced ovarian cancer underwent a 30-minute semi-structured interview to elicit family messages and musical preferences. Lyrics and musical style were generated with AI, and six vocal tracks were produced; one was selected with the patient. Results: The process was feasible within 90 minutes, accepted by the patient and family, and caused no apparent adverse events. The patient stated that “my message took shape,” showing enhanced life review, and the song’s use at her funeral provided comfort for the family. Ethics: Personal identifiers were excluded, and data retention was disabled. Conclusions: A generative AI “Gratitude Song” enabled visualization and sonification of messages despite physical limitations, suggesting a potential option for spiritual care.
