Site icon Nourish Naturally and Nicely

AI in geriatric psychiatry: precision meets human experience

AI in geriatric psychiatry: precision meets human experience
  • Hasan WU, Zaman KT, Wang X, Li J, Xie B, Tao C. Empowering Alzheimer’s caregivers with conversational AI: a novel approach for enhanced communication and personalized support. npj Biomed Innov. 2024;1:1–10.

    Article 

    Google Scholar 

  • Reynolds CF, Weissman MM. Transdisciplinary science and research training in psychiatry: a robust approach to innovation. JAMA Psychiatry. 2022;79:839–40.

    Article 
    PubMed 

    Google Scholar 

  • Momota Y, Bun S, Hirano J, Kamiya K, Ueda R, Iwabuchi Y, et al. Amyloid-β prediction machine learning model using source-based morphometry across neurocognitive disorders. Sci Rep. 2024;14:7633.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Shah S, Shah M. The effects of machine learning algorithms in magnetic resonance imaging (MRI), and biomarkers on early detection of Alzheimer’s disease. Adv Biomarker Sci Technol. 2024;6:191–208.

  • Sims JR, Zimmer JA, Evans CD, Lu M, Ardayfio P, Sparks J, et al. Donanemab in early symptomatic Alzheimer disease: the TRAILBLAZER-ALZ 2 randomized clinical trial. Jama. 2023;330:512–27.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Van Dyck CH, Swanson CJ, Aisen P, Bateman RJ, Chen C, Gee M, et al. Lecanemab in early Alzheimer’s disease. N Engl J Med. 2023;388:9–21.

    Article 
    PubMed 

    Google Scholar 

  • Isaacson RS, Hristov H, Saif N, Hackett K, Hendrix S, Melendez J, et al. Individualized clinical management of patients at risk for Alzheimer’s dementia. Alzheimers Dement. 2019;15:1588–602.

    Article 
    PubMed 

    Google Scholar 

  • Reisberg B, Shao Y, Golomb J, Monteiro I, Torossian C, Boksay I, et al. Comprehensive, individualized, person-centered management of community-residing persons with moderate-to-severe Alzheimer disease: a randomized controlled trial. Dement Geriatr Cogn Disord. 2017;43:100–17.

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Premack D, Woodruff G. Does the chimpanzee have a theory of mind? Behav Brain Sci. 1978;1:515–26.

    Article 

    Google Scholar 

  • Baron-Cohen S. Precursors to a theory of mind: understanding attention in others. In: Whiten A, editor Natural theories of mind: evolution, development and simulation of everyday mindreading. Oxford: Basil Blackwell, 1991:233–251.

  • Singer, T. & Tusche, A. In: Glimcher PW, Fehr E, editors. Neuroeconomics. Elsevier: 2014:513–32.

  • Happé F. Theory of mind and the self. Ann N Y Acad Sci. 2003;1001:134–44.

    Article 
    PubMed 

    Google Scholar 

  • Vogeley K, Bussfeld P, Newen A, Herrmann S, Happé F, Falkai P, et al. Mind reading: neural mechanisms of theory of mind and self-perspective. Neuroimage. 2001;14:170–81.

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Bering JM. The existential theory of mind. Rev Gen Psychol. 2002;6:3–24.

    Article 

    Google Scholar 

  • Elyoseph Z, Hadar-Shoval D, Asraf K, Lvovsky M. ChatGPT outperforms humans in emotional awareness evaluations. Front Psychol. 2023;14:1199058.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Yalom, I. D. Existential psychotherapy. New York: Basic Books; 2020.

  • Tornstam L. Gerotranscendence: the contemplative dimension of aging. J Aging Stud. 1997;11:143–54.

    Article 

    Google Scholar 

  • Pressman, P. & van Denburg, E. American Psychiatric Association; 1990.

  • Buber, M. I and Thou (trans. Kaufmann W, Cullen, P). Scribner, New York; 1958.

  • Yalom ID, Houts PS, Zimerberg SM, Rand KH. Prediction of improvement in group therapy: an exploratory study. Arch Gen Psychiatry. 1967;17:159–68.

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Polster E, Polster M. Gestalt therapy integrated: contours of theory and practice. New York: Brunner/Mazel; 1973.

  • Horvath AO, Luborsky L. The role of the therapeutic alliance in psychotherapy. J Consulting Clin Psychol. 1993;61:561–73.

    Article 
    CAS 

    Google Scholar 

  • Hopcroft JE, Motwani R, Ullman JD. Introduction to automata theory, languages, and computation. Acm Sigact N. 2001;32:60–65.

    Article 

    Google Scholar 

  • Marks-Tarlow T, Shapiro Y, Wolf KP, Friedman HL. A fractal epistemology for a scientific psychology: bridging the personal with the transpersonal. Newcastle upon Tyne: Cambridge Scholars Publishing; 2020.

  • Pitt L. Introduction: Special issue on computational learning theory. Mach Learn. 1990;5:117–20. https://doi.org/10.1007/BF00116033.

    Article 

    Google Scholar 

  • Ewald WB, Ewald W. From Kant to Hilbert volume 1: a source book in the foundations of mathematics. Vol. 1, OUP Oxford; 1996.

  • Gray R. Georg Cantor and transcendental numbers. Am Math Monthly. 1994;101:819–32.

    Article 

    Google Scholar 

  • Gödel K. Über formal unentscheidbare Sätze der Principia Mathematica und verwandter Systeme I. Monatshefte für Mathematik Phys. 1931;38:173–98.

    Article 

    Google Scholar 

  • Turing AM. On computable numbers, with an application to the Entscheidungsproblem. Proc Lond Math Soc. 1937;s2-42:230–65. https://doi.org/10.1112/plms/s2-42.1.230.

    Article 

    Google Scholar 

  • Hofstadter DR. Gödel, Escher, Bach: an eternal golden braid. New York: Basic Books; 1999.

  • Turing AM. On computable numbers, with an application to the Entscheidungsproblem. A correction. Proc Lond Math Soc. 1938;2:544–6.

    Article 

    Google Scholar 

  • DeSouza DD, Robin J, Gumus M, Yeung A. Natural language processing as an emerging tool to detect late-life depression. Front Psychiatry. 2021;12:719125.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Hatton CM, Paton LW, McMillan D, Cussens J, Gilbody S, Tiffin PA. Predicting persistent depressive symptoms in older adults: a machine learning approach to personalised mental healthcare. J Affect Disord. 2019;246:857–60.

    Article 
    PubMed 

    Google Scholar 

  • Lin Y, Liyanage BN, Sun Y, Lu T, Zhu Z, Liao Y, et al. A deep learning-based model for detecting depression in senior population. Front Psychiatry. 2022;13:1016676.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Sau A, Bhakta I. Predicting anxiety and depression in elderly patients using machine learning technology. Healthc Technol Lett. 2017;4:238–43.

    Article 

    Google Scholar 

  • Song YLQ, Chen L, Liu H, Liu Y. Machine learning algorithms to predict depression in older adults in China: a cross-sectional study. Front Public Health. 2025;12:1462387.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Abdollahi H. Artificial emotional intelligence in socially assistive robots, University of Denver. IEEE Trans Affect Comput. 2023;14:2020–32.

    Article 
    PubMed 

    Google Scholar 

  • Montemayor C, Halpern J, Fairweather A. In principle obstacles for empathic AI: why we can’t replace human empathy in healthcare. AI Soc. 2022;37:1353–9.

    Article 
    PubMed 

    Google Scholar 

  • Nejadshamsi S, Karami V, Ghourchian N, Armanfard N, Bergman H, Grad R, et al. Development and feasibility study of HOPE model for prediction of depression among older adults using Wi-Fi-based motion sensor data: machine learning study. JMIR Aging. 2025;8:e67715.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Alberdi A, Weakley A, Schmitter-Edgecombe M, Cook DJ, Aztiria A, Basarab A, et al. Smart home-based prediction of multidomain symptoms related to Alzheimer’s disease. IEEE J Biomed Health Inform. 2018;22:1720–31.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Cummins N, Matcham F, Klapper J, Schuller B. In Artificial Intelligence in Precision Health. San Diego, CA: Elsevier; 2020:231–55.

  • Low DM, Bentley KH, Ghosh SS. Automated assessment of psychiatric disorders using speech: a systematic review. Laryngoscope Investig Otolaryngol. 2020;5:96–116.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Chou Y-H, Lin C, Lee S-H, Lee Y-F, Cheng L-C. User-friendly Chatbot to mitigate the psychological stress of older adults during the COVID-19 pandemic: development and usability study. JMIR Formative Res. 2024;8:e49462.

    Article 

    Google Scholar 

  • Denecke K, Vaaheesan S, Arulnathan A. A mental health chatbot for regulating emotions (SERMO)-concept and usability test. IEEE Trans Emerg Top Comput. 2020;9:1170–82.

    Article 

    Google Scholar 

  • Oh, K.-J., Lee, D., Ko, B. & Choi, H.-J. In 2017 18th IEEE international conference on mobile data management (MDM). IEEE: 2017:371–5.

  • Lee H, Chung MA, Kim H, Nam EW. The effect of cognitive function health care using artificial intelligence robots for older adults: systematic review and meta-analysis. JMIR Aging. 2022;5:e38896.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Schuller D, Schuller BW. The age of artificial emotional intelligence. Computer. 2018;51:38–46.

    Article 

    Google Scholar 

  • Fogelson DM, Rutledge C, Zimbro KS. The impact of robotic companion pets on depression and loneliness for older adults with dementia during the COVID-19 pandemic. J Holist Nurs. 2022;40:397–409.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Kang HS, Makimoto K, Konno R, Koh IS. Review of outcome measures in PARO robot intervention studies for dementia care. Geriatr Nurs. 2020;41:207–14.

    Article 
    PubMed 

    Google Scholar 

  • De Carolis, B. et al. In Proceedings of the ACHI-the thirteenth international conference on advances in computer-human interactions. Nice, France: IARIA; 2020:452–7.

  • Tanioka T, Yokotani T, Tanioka R, Betriana F, Matsumoto K, Locsin R, et al. Development issues of healthcare robots: compassionate communication for older adults with dementia. Int J Environ Res Public health. 2021;18:4538.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Roesler E, Manzey D, Onnasch L. A meta-analysis on the effectiveness of anthropomorphism in human-robot interaction. Sci Robot. 2021;6:eabj5425.

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Tanveer M, Richhariya B, Khan RU, Rashid AH, Khanna P, Prasad M, et al. Machine learning techniques for the diagnosis of Alzheimer’s disease: a review. ACM Trans Multimed Comput Commun Appl. 2020;16:Article 30–35. https://doi.org/10.1145/3344998.

    Article 

    Google Scholar 

  • Lovejoy CA. Technology and mental health: the role of artificial intelligence. Eur Psychiatry. 2019;55:1–3.

    Article 
    PubMed 

    Google Scholar 

  • Alowais SA, Alghamdi SS, Alsuhebany N, Alqahtani T, Alshaya AI, Almohareb SN, et al. Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC Med Educ. 2023;23:689.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Gaonkar B, Cook K, Macyszyn L. Ethical issues arising due to bias in training AI algorithms in healthcare and data sharing as a potential solution. AI Ethics J. 2020;1. https://doi.org/10.47289/AIEJ20200916.

  • Graham S, Depp C, Lee EE, Nebeker C, Tu X, Kim HC, et al. Artificial intelligence for mental health and mental illnesses: an overview. Curr Psychiatry Rep. 2019;21:1–18.

    Article 

    Google Scholar 

  • Khanna S, Srivastava S. Patient-centric ethical frameworks for privacy, transparency, and bias awareness in deep learning-based medical systems. Appl Res Artif Intell Cloud Comput. 2020;3:16–35.

    Google Scholar 

  • Vayena E, Blasimme A, Cohen IG. Machine learning in medicine: addressing ethical challenges. PLoS Med. 2018;15:e1002689.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Cartwright-Smith L, Gray E, Thorpe JH. Health information ownership: legal theories and policy implications. Vand J Ent Tech L. 2016;19:207–597.

    Google Scholar 

  • Doraiswamy PM, Blease C, Bodner K. Artificial intelligence and the future of psychiatry: insights from a global physician survey. Artif Intell Med. 2020;102:101753.

    Article 
    PubMed 

    Google Scholar 

  • Safdar NM, Banja JD, Meltzer CC. Ethical considerations in artificial intelligence. Eur J Radiol. 2020;122:108768.

    Article 
    PubMed 

    Google Scholar 

  • Adamopoulou E, Moussiades L. In Artificial intelligence applications and innovations: 16th IFIP WG 12.5 International Conference, AIAI. Springer, Cham, 2020:373–83.

  • Koutsouleris N, Hauser TU, Skvortsova V, De Choudhury M. From promise to practice: towards the realisation of AI-informed mental health care. Lancet Digital Health. 2022;4:e829–e840.

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Hung L, Zhao Y, Alfares H, Shafiekhani P. Ethical considerations in the use of social robots for supporting mental health and wellbeing in older adults in long-term care. Front Robot AI. 2025;12:1560214.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Alhuwaydi AM. Exploring the role of artificial intelligence in mental healthcare: current trends and future directions–a narrative review for a comprehensive insight. Risk Manag Healthc Policy. 2024;17:1339–48.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Hall MA, Schulman KA. Ownership of medical information. JAMA. 2009;301:1282–4.

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Montgomery SA, Asberg M. A new depression scale designed to be sensitive to change. Br J Psychiatry. 1979;134:382–9. https://doi.org/10.1192/bjp.134.4.382.

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Singh V, Sarkar S, Gaur V, Grover S, Singh OP. Clinical practice guidelines on using artificial intelligence and gadgets for mental health and well-being. Indian J Psychiatry. 2024;66:S414–S419.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Bell CC, Mehta H. The misdiagnosis of black patients with manic depressive illness. J Natl Med Assoc. 1980;72:141–5.

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Coleman D, Baker F. Misdiagnosis of schizophrenia in older, black veterans. J Nerv Ment Dis. 1994;182:527–8.

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • DeSouza F, Parker CB, Spearman-McCarthy EV, Duncan GN, Black RMM. Coping with racism: a perspective of COVID-19 church closures on the mental health of African Americans. J Racial Ethn Health Disparities. 2021;8:7–11. https://doi.org/10.1007/s40615-020-00887-4.

    Article 
    PubMed 

    Google Scholar 

  • Hollar MC. The impact of racism on the delivery of health care and mental health services. Psychiatr Q. 2001;72:337–45.

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Jimenez DE, Park M, Rosen D, Joo JH, Garza DM, Weinstein ER, et al. Centering culture in mental health: differences in diagnosis, treatment, and access to care among older people of color. Am J Geriatr Psychiatry. 2022;30:1234–51. https://doi.org/10.1016/j.jagp.2022.07.001.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Sashidharan SP, Francis E. Racism in psychiatry necessitates reappraisal of general procedures and Eurocentric theories. BMJ. 1999;319:254.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Williams DR, Williams-Morris R. Racism and mental health: the African American experience. Ethn Health. 2000;5:243–68. https://doi.org/10.1080/713667453.

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Baclic O, Tunis M, Young K, Doan C, Swerdfeger H, Schonfeld J. Challenges and opportunities for public health made possible by advances in natural language processing. Can Commun Dis Rep. 2020;46:161–8. https://doi.org/10.14745/ccdr.v46i06a02.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Grother P, Ngan M, Hanaoka K. Face Recognition Vendor Test (FRVT) Part 3: Demographic Effects. National Institute of Standards and Technology Interagency/Internal Report 8280, Gaithersburg, MD 2019.

  • Kim G, Aguado Loi CX, Chiriboga DA, Jang Y, Parmelee P, Allen RS. Limited English proficiency as a barrier to mental health service use: a study of Latino and Asian immigrants with psychiatric disorders. J Psychiatr Res. 2011;45:104–10. https://doi.org/10.1016/j.jpsychires.2010.04.031.

    Article 
    PubMed 

    Google Scholar 

  • Ayala FJ. Cloning humans? Biological, ethical, and social considerations. Proc Natl Acad Sci USA. 2015;112:8879–86. https://doi.org/10.1073/pnas.1501798112.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Kass LR. The wisdom of repugnance: why we should ban the cloning of humans. N Repub. 1997;216:17–26.

    Google Scholar 

  • Spurgeon B. France bans reproductive and therapeutic cloning. BMJ. 2004;329:130 https://doi.org/10.1136/bmj.329.7458.130-d.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Bukowski M, Farkas R, Beyan O, Moll L, Hahn H, Kiessling F, et al. Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: are we ready from an international perspective? Eur Radio. 2020;30:5510–24. https://doi.org/10.1007/s00330-020-06874-x.

    Article 

    Google Scholar 

  • Floridi L, Luetge C, Pagallo U, Schafer B, Valcke P, Vayena E, et al. Key ethical challenges in the European medical information framework. Minds Mach. 2019;29:355–71. https://doi.org/10.1007/s11023-018-9467-4.

    Article 

    Google Scholar 

  • Reddy S, Allan S, Coghlan S, Cooper P. A governance model for the application of AI in health care. J Am Med Inf Assoc. 2020;27:491–7. https://doi.org/10.1093/jamia/ocz192.

    Article 

    Google Scholar 

  • Fanni R, Steinkogler VE, Zampedri G, Pierson J. Enhancing human agency through redress in Artificial Intelligence Systems. AI Soc. 2023;38:537–47. https://doi.org/10.1007/s00146-022-01454-7.

    Article 
    PubMed 

    Google Scholar 

  • Love CS. Just the facts Ma’am”: moral and ethical considerations for artificial intelligence in medicine and its potential to impact patient autonomy and hope. Linacre Q. 2023;90:375–94. https://doi.org/10.1177/00243639231162431.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Saeidnia HR, Hashemi Fotami SG, Lund B, Ghiasi N. Ethical considerations in artificial intelligence interventions for mental health and well-being: ensuring responsible implementation and impact. Soc Sci. 2024;13:381.

    Article 

    Google Scholar 

  • Thakkar A, Gupta A, De Sousa A. Artificial intelligence in positive mental health: a narrative review. Front Digit Health. 2024;6:1280235. https://doi.org/10.3389/fdgth.2024.1280235.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Tiribelli S. The AI ethics principle of autonomy in health recommender systems. Argumenta. 2023;16:1–18.

    Google Scholar 

  • Matheny ME, Whicher D, Israni ST. Artificial intelligence in health care: a report from the National Academy of Medicine. Jama. 2020;323:509–10.

    Article 
    PubMed 

    Google Scholar 

  • Tavory T. Regulating AI in mental health: ethics of care perspective. JMIR Ment Health. 2024;11:e58493.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • link

    Exit mobile version