Monitoring suicidal ideation in adolescents and young adults with cancer: A scoping review about evidence gaps and potential applications of AI-enabled robotics
https://doi.org/10.52235/lp.v7i4.993
Keywords:
adolescent, artificial intelligence, neoplasms, scoping review, suicidal ideation, young adultAbstract
Background: Adolescents and young adults (AYAs) affected by cancer may experience suicidal ideation during treatment, survivorship, and end-of-life care. Digital alerts, conversational agents, and robotic interfaces offer potential channels for monitoring, but their applicability to oncology is uncertain.
Objective: To map direct oncology evidence on suicidality, chart adjacent digital and robotic evidence relevant to monitoring or engagement, and identify conditional design and safety requirements for future research.
Methods: This scoping review used a population–concept–context framework and PRISMA-ScR reporting principles. The source review reports English-language evidence from January 2020 through July 2026 and citation searching, with 59 identified records and nine included studies. The retained documentation does not specify the databases, final execution dates, screening/charting reviewer numbers, or protocol registration status; these aspects cannot be independently reconstructed.
Results: Nine studies were retained: five direct oncology reports (a population-based analysis, clinical screening study, longitudinal cohort, survivorship survey, and case report) and four adjacent technology studies (an oncology chatbot pilot, youth alert-system evaluation, simulated chatbot safety assessment, and robot-agent engagement study). Participants ranged from an individual clinical case to a cohort of 500,366; one technology assessment evaluated 29 agents rather than patients. The streams address different outcomes and cannot support pooled estimates. None tested an AI-enabled robotic suicide-monitoring system in young patients with cancer.
Conclusions: Oncology findings support the clinical relevance of repeated, developmentally sensitive suicide-risk assessment; adjacent studies supply only limited implementation and design insights. A human-supervised, oncology-specific monitoring pathway remains a hypothesis for prospective co-design, safety validation, and clinical evaluation, not a proven intervention.
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References
Adepoju, A. G., Adepoju, D. A., Cheruiyot, D. K., Adepoju, S. A., Obaje, A. A., Adefiwitan, J. A., & Omotoye, B. S. (2025). AI in Crisis Prediction and Prevention : Leveraging Predictive Analytics for Suicide Risk and Emotional Distress Management.
Alves-Oliveira, P., Budhiraja, T., So, S., Karim, R., Björling, E., & Cakmak, M. (2022). Robot-mediated interventions for youth mental health. Design for Health, 6(2), 138–162. https://doi.org/10.1080/24735132.2022.2101825
Aziz, F., Bianchini, D., Olawade, D. B., & Boussios, S. (2025). The Impact of AI-driven Remote Patient Monitoring on Cancer Care : A Systematic Review. 418, 407–418. https://doi.org/10.21873/anticanres.17430
Baldini, V., Gnazzo, M., Varallo, G., Vincenzo, M. Di, Scorza, M., Franceschini, C., Ronchi, D. De, Fiorillo, A., & Plazzi, G. (2025). A comprehensive approach to adolescent suicide prevention : insights from a narrative review perspective. November. https://doi.org/10.3389/fpsyg.2025.1612067
Bennett, C. (2023). Reinventing mental health care in youth through mobile approaches : Current status and future steps. March, 1–8. https://doi.org/10.3389/fpsyg.2023.1126015
Bergerot, C., Baum, L. V. M., Yang, I., & Smith, S. K. (2026). Understanding Contemporary Challenges in the Care of Patients With Early-Onset Cancer : Epidemiologic Trends ,. 46(3).
Bootsma, T. I., Wal, D. Van De, Vlooswijk, C., Roos, D. C., & Drabbe, C. (2024). Exploring the interconnectedness between health ‑ related quality of life factors among long ‑ term adolescent and young adult cancer survivors ( AYAs ): a network analysis. Supportive Care in Cancer, 32(2), 1–11. https://doi.org/10.1007/s00520-023-08295-0
Calagua-bedoya, E. A., & Ernst, C. (2024). Patient at the End-of-Life. 1–16. https://doi.org/10.1016/j.jaclp.2022.11.004.Consultation-Liaison
Chambers, R. L., Scott, H., Fraser, L. K., & Sleeman, K. E. (2026). What are the symptoms and concerns of young adults living with life-limiting conditions and how well are they captured by patient reported outcome measures ? A mixed-methods systematic review and framework synthesis. https://doi.org/10.1177/02692163251405370
Chen, J., Hu, D., & Wang, J. (2024). Risk factors associated with suicidal ideation among cancer patients : a systematic review and. January. https://doi.org/10.3389/fpsyg.2023.1287290
Chong, M. K., Hickie, I. B., Ottavio, A., Rogers, D., Dimitropoulos, G., LaMonica, H. M., Borgnolo, L. J., McKenna, S., Scott, E. M., & Iorfino, F. (2024). A digital approach for addressing suicidal ideation and behaviors in youth mental health services: Observational study. Journal of Medical Internet Research, 26, e60879. https://doi.org/10.2196/60879
Ferede, D. (2026). Artificial Intelligence ( AI ) and Healthcare Capabilities : A Systematic Review and Research Directions. May.
Giberson, S. A., Jr., Hall, B. C., Jester, B., Short, V. M., Roaten, K., de la Garza, N., Trivedi, M. H., & Howe-Martin, L. (2021). Suicidal ideation and depression among adolescent and young adult cancer patients. Journal of Adolescent and Young Adult Oncology, 10(5), 549–554. https://doi.org/10.1089/jayao.2020.0180
Guan, K. W., Amara, M., Cortiana, V., Khan, I., Gürbüz, S., Iorio, C., Ali, R., Adlung, C., Smit, C. R., & Vreeker, A. (2026). Toward Participatory Precision Health With Co-Designed Recommendations : Systematic Review of Just-in-Time Adaptive Interventions in Adolescents and Young Adults. 28. https://doi.org/10.2196/84422
Haque, N., & Sumi, A. B. (2022). Journal of Data Science and Analytics AI-Based Psychodiagnostics ’ Models to Support Early Intervention and Reduce Suicide Risk in Adolescents and Youth : June, 40–79. https://doi.org/10.63125/vb5f7e98
Hasei, J., Hanzawa, M., Nagano, A., Maeda, N., Yoshida, S., Endo, M., Yokoyama, N., Ochi, M., Ishida, H., Katayama, H., Fujiwara, T., Nakata, E., Nakahara, R., Kunisada, T., Tsukahara, H., & Ozaki, T. (2025). Empowering pediatric, adolescent, and young adult patients with cancer utilizing generative AI chatbots to reduce psychological burden and enhance treatment engagement: A pilot study. Frontiers in Digital Health, 7, 1543543. https://doi.org/10.3389/fdgth.2025.1543543
Heynemann, S., Thompson, K., Moncur, D., Silva, S., Jayawardana, M., & Lewin, J. (2021). Risk factors associated with suicide in adolescents and young adults (AYA) with cancer. Cancer Medicine, 10(20), 7339–7346. https://doi.org/10.1002/cam4.4246
Higgins, O. (2024). Using Machine Learning to Assist Decision Making in the Assessment of Mental Health Consumers Presenting to Emergency Departments Using Machine Learning to Assist Decision Making in the Assessment of Mental Health Consumers Presenting to Emergency Departments. November.
Hudson, M. M., Bhatia, S., Casillas, J., Landier, W., Oncology, H., Group, O., Society, A., & Oncology, H. (2022). Long-Term Follow-up Care for Childhood, Adolescent, and Young Adult Cancer Survivors. 148(3), 1–25. https://doi.org/10.1542/peds.2021-053127.Long-Term
Hutchinson, E., Scott, L., & Choukas-bradley, S. (2025). Interpersonal risk factors for suicide in daily life among young people : A review of intensive longitudinal studies. 2196–2216. https://doi.org/10.1017/S0954579424001810
Kiuchi, K., Otsu, K., & Hayashi, Y. (2024). Psychological insights into the research and practice of embodied conversational agents , chatbots and social assistive robots : a systematic. Behaviour & Information Technology, 43(15), 3696–3736. https://doi.org/10.1080/0144929X.2023.2286528
Lampreia, F. (2024). Digital health technologies and arti fi cial intelligence in cardiovascular clinical trials : A landscape of the European space. https://doi.org/10.1177/20552076241277703
Lucas, B., Friend, B., Jarrell, J. A., & Kentor, R. (2024). “Just let me go”; When suicidal ideation and goals of care collide in adolescent cancer at the end of life. Pediatric Blood & Cancer, 71(6), e30893. https://doi.org/10.1002/pbc.30893
Mansoor, M., Hamide, A., & Tran, T. (2027). Conversational AI in Pediatric Mental Health : A Scoping Review of Applications , Evidence , and Special Considerations Conversational AI in Pediatric Mental Health : A Scoping Review of Applications , Evidence ,. 0–25. https://doi.org/10.20944/preprints202502.2027.v1
McGowan, J., Sampson, M., Salzwedel, D. M., Cogo, E., Foerster, V., & Lefebvre, C. (2016). PRESS peer review of electronic search strategies: 2015 guideline statement. Journal of Clinical Epidemiology, 75, 40–46. https://doi.org/10.1016/j.jclinepi.2016.01.021
Ng, J., & Wah, K. (2025). AI ‑ driven robotic surgery in oncology : advancing precision , personalization , and patient outcomes. Journal of Robotic Surgery, 19(1), 1–11. https://doi.org/10.1007/s11701-025-02555-3
Omarov, B., Narynov, S., & Zhumanov, Z. (2023). Artificial Intelligence-Enabled Chatbots in Mental Health : A Systematic Review. https://doi.org/10.32604/cmc.2023.034655
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Park, J. K., Singh, V. K., Wisniewski, P., Park, J. K., & Hall, S. (2025). Current Landscape and Future Directions for Mental Health Conversational Agents for Youth : Scoping Review Corresponding Author : 13, 1–25. https://doi.org/10.2196/62758
Peters, M. D. J., Marnie, C., Tricco, A. C., Pollock, D., Munn, Z., Alexander, L., McInerney, P., Godfrey, C. M., & Khalil, H. (2020). Updated methodological guidance for the conduct of scoping reviews. JBI Evidence Synthesis, 18(10), 2119–2126. https://doi.org/10.11124/JBIES-20-00167
Pichowicz, W., Kotas, M., & Piotrowski, P. (2025). Performance of mental health chatbot agents in detecting and managing suicidal ideation. Scientific Reports, 15, 31652. https://doi.org/10.1038/s41598-025-17242-4
Powell, T., Cohen, J., Patterson, P., & Page, A. (2021). Keeping Connected With School : Implementing Telepresence Robots to Improve the Wellbeing of Adolescent Cancer Patients. 12(November), 1–15. https://doi.org/10.3389/fpsyg.2021.749957
Raghubar, K. P., Chambers, T., Hill, R. M., Taylor, O., Hockenberry, M., Hooke, M. C., Mitby, P., Moore, I. K., Brown, A. L., & Scheurer, M. E. (2022). Longitudinal investigation of suicidal ideation and associated factors during pediatric acute lymphoblastic leukemia chemotherapy. Psycho-Oncology, 31(10), 1782–1789. https://doi.org/10.1002/pon.6014
Rizzo, A., Mozgai, S., Sigaras, A., Rubin, J. E., & Jotwani, R. (2025). Expert Consensus Best Practices for the Safe , Ethical , and Effective Design and Implementation of Arti fi cially Intelligent Conversational Agent ( i . e ., Chatbot / Virtual Human ) Systems in Health Care Applications. 2, 209–222. https://doi.org/10.1177/29941520251369450
Rosgen, B. K., Moss, S. J., Fidler-benaoudia, M. M., Fiest, K. M., Mckillop, S., Deleemans, J., Diaz, R. L., Barr, R. D., & Patten, S. B. (2022). Psychiatric Disorder Incidence Among Adolescents and Young Adults Aged 15-39 With Cancer : Population-Based Cohort. 6, 1–9.
Rothausen, C. S., Alfaro-diaz, C., & Samuelsson, M. (2025). European Journal of Oncology Nursing Co-design of family interventions in cancer care : A scoping review to assess key methods and processes. European Journal of Oncology Nursing, 78(August), 102966. https://doi.org/10.1016/j.ejon.2025.102966
Schwinn, T., Hirschmiller, J., Brähler, E., Merzenich, H., Wild, P. S., Beutel, M. E., & Ernst, M. (2025). A powerful safety net: Social support moderates the association of quality of life deficits with suicidal ideation in long-term childhood cancer survivors. Journal of Psychosocial Oncology, 43(2), 230–247. https://doi.org/10.1080/07347332.2024.2379827
Servi, M., Chiaro, S., Mussi, E., Castellini, G., Mereu, A., Volpe, Y., & Pisano, T. (2024). Statistical and arti fi cial intelligence techniques to identify risk factors for suicide in children and adolescents. 106(March), 1–16. https://doi.org/10.1177/00368504231199663
Sharma, G., Yaffe, M. J., Ghadiri, P., Gandhi, R., & Pinkham, L. (2025). Use of Artificial Intelligence in Adolescents ’ Mental Health Care : Systematic Scoping Review of Current Applications and Future Directions. 12, 1–14. https://doi.org/10.2196/70438
Shin, H., & Park, C. (2025). Perceived stress shapes symptom and social network dynamics: a network analysis of depression, anxiety, and relationshipspecific support and strain.
Taeihagh, A. (2021). Governance of artificial intelligence. Policy and Society, 40(2), 137–157. https://doi.org/10.1080/14494035.2021.1928377
Tang, L., Wu, S., Li, X., Cao, Y., Chen, X., Cheng, H., Chi, T., He, Y., & Hu, J. (2025). CACA clinical guideline of holistic psychosocial care for cancer patients. https://doi.org/10.1007/s44178-025-00164-6
Toma, M., Turcu, C. E., Turcu, C. O., Vlad, S., Tiliute, D. E., Pascu, P., & Toma, M. (2024). Extended Reality – Based Mobile App Solutions for the Therapy of Children With Autism Spectrum Disorders : Systematic Literature Review Corresponding Author : 12, 1–25. https://doi.org/10.2196/49906
Tricco, A. C., Lillie, E., Zarin, W., O’Brien, K. K., Colquhoun, H., Levac, D., Moher, D., Peters, M. D. J., Horsley, T., Weeks, L., Hempel, S., et al. (2018). PRISMA extension for scoping reviews (PRISMA-ScR): Checklist and explanation. Annals of Internal Medicine, 169(7), 467–473. https://doi.org/10.7326/M18-0850
Upadhyay, K., Kumar, R., Kumar, S., & Butoliya, S. (2026). Archives of Psychiatric Nursing Psycho-oncology : Bridging mental health and cancer care in modern medicine. Archives of Psychiatric Nursing, 60(November 2025), 152024. https://doi.org/10.1016/j.apnu.2025.152024
White, B. M., Aitken, G. L., Zink, J. A., & Rahimabad, P. K. (2026). Empathic AI for Patient-Centered Cancer Care : A Scoping Review of Patient Navigation , Support , and Clinical Practice. 12. https://doi.org/10.2196/82336
Yang, P., Zhang, L., & Hou, X. (2021). Incidence of suicide among adolescent and young adult cancer patients : a population ‑ based study. Cancer Cell International, 1–11. https://doi.org/10.1186/s12935-021-02225-y
Yeasmin, S., Masuma, M., Semi, A., Karim, M., & Rony, K. (2025). Artificial Intelligence for Mental Health Monitoring : A Solution for Digital Behavioral Health Care and Education — An Umbrella Review. 1–26. https://doi.org/10.1002/hsr2.71703
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