Digitale Achtsamkeit und Künstliche Intelligenz: Chancen und Herausforderungen in der modernen Mind-Body-Medizin

Summary

Digitale Mind-Body-Interventionen wie Achtsamkeitsprogramme können Symptome psychischer Belastungen wie Stress, Angst und Depression reduzieren. Studien zeigen ihre Wirksamkeit in verschiedenen Zielgruppen: von Krebspatient*innen bis hin zu Beschäftigten im Gesundheitswesen. Da die Programme flexibel und alltagsnah eingesetzt werden können, um Stress zu reduzieren und die persönliche Achtsamkeit zu fördern, sind sie insbesondere für Menschen mit begrenzten Zeitressourcen oder körperlichen Einschränkungen wertvoll. Künstliche Intelligenz und maschinelles Lernen leisten dabei einen Beitrag, die Angebote noch besser auf die individuellen Bedürfnisse der Nutzenden zuzuschneiden.

Keywords

Künstliche Intelligenz - KI - Mind-Body-Medizin - Mindfulness-Based Stress Reduction - Achtsamkeitsübungen

Publication History

Article published online:
11 December 2024

• Literatur

• 1 Anand Thoutam V, Srivastava A, Badal T. et al. Yoga pose stimation and feedback generation using deep learning. Comput Intell Neurosci 2022; 4311350
• 2 Benary M, Wang Xing D, Schmidt M. et al. Leveraging large language models for decision support in personalized oncology. JAMA Netw Open 2023; 6 (11) e2343689-e2343689
• 3 Brinkhaus B, Esch T. Integrative Medizin und Gesundheit – Konstrukt einer modernen Medizin. In: Aulenkamp JL, Topfe T. Toolbook Ärztin:Arzt. Alles, was du unbedingt noch wissen solltest, im Studium aber kaum erwähnt wurde. Berlin: MWV; 2024: 265-272
• 4 Chu H, Moon S, Park J. et al. The use of artificial intelligence in complementary and alternative medicine: A systematic scoping review. Front Pharmacol 2022; 13: 826044
• 5 Daudén Roque C, Corina S. A scoping review of interactive mindfulness technologies for mental wellbeing: Considerations from HCI and psychology (2020). Im Internet: https://www.researchgate.net/publication/379660403_A_Scoping_Review_of_Interactive_Mindfulness_Technologies_for_Mental_Wellbeing_Considerations_from_HCI_and_Psychology; Stand: 25.03.2022.
• 6 Döllinger N, Wienrich C, Latoschik ME. Challenges and opportunities of immersive technologies for mindfulness meditation: A systematic review. Front Virtual Real 2020; 2: 644683
• 7 Esch T. Der Nutzen von Selbstheilungspotenzialen in der professionellen Gesundheitsfürsorge am Beispiel der Mind-Body-Medizin. Bundesgesundheitsblatt 2020; 63 (05) 577-585
• 8 Feng C, Zhou S, Qu Y. et al. Overview of artificial intelligence applications in Cchinese medicine therapy. Evid Based Complement Alternat Med 2021; 6678958
• 9 Horesh D, Kohavi S, Shilony-Nalaboff L. Virtual reality combined with artificial intelligence (VR-AI) reduces hot flashes and improves psychological well-being in women with breast and ovarian cancer: A pilot study. Healthcare (Basel) 2020; 10 (11) 2261
• 10 Hsia L-H, Hwang G-J, Hwang J-P. AI-facilitated reflective practice in physical education: An auto-assessment and feedback approach. Interact Learn Environ 2023; 5: 1-20
• 11 Hung TKW, Latte-Naor S, Li Y. et al. Assessment of oncology patient engagement and interest in virtual mind-body-programming: Moving toward personalization of virtual care. JCO Oncol Pract 2023; 19 (02) e185-e196
• 12 Kabat-Zinn J. Gesund durch Meditation. Das große Buch der Selbstheilung. 9. Aufl. Frankfurt am Main: Fischer; 2010
• 13 La Torre G, Esposito A, Sciarra I. et al. Definition, symptoms and risk of techno-stress: A systematic review. Int Arch Occup Environ Health 2019; 92 (01) 13-35
• 14 Lekkas D, Price G, McFadden J. et al. The application of machine learning to online mindfulness intervention data: A primer and empirical example in compliance assessment. Mindfulness 2021; 12 (10) 2519-2534
• 15 López-Del-Hoyo Y, Fernández-Martínez S, Pérez-Aranda A. et al. Effects of ehealth interventions on stress reduction and mental health promotion in healthcare professionals: A systematic review. J Clin Nurs 2023; 32 (17–18) 5514-5533
• 16 Michaelsen M, Esch T. Meditations- und Achtsamkeitsinterventionen zur Förderung psychischer Ressourcen in der supportiven onkologischen Behandlung. Onkologische Welt 2022; 13: 157-161
• 17 Michaelsen M, Esch T. Mentale Gesundheit – Stressreduktion und Resilienz durch digitale Achtsamkeitsinterventionen. In: Werner JA, Schmidt-Rumposch A, Hrsg. Human Hospital. Berlin: MWV; 2024: 155-161
• 18 Michaelsen MM, Graser J, Onescheit M. et al. Mindfulness-based and mindfulness-informed interventions at the workplace: A systematic review and meta-regression analysis of RCTs. Mindfulness 2023; 14 (06) 1271-1304
• 19 Mrazek AJ, Mrazek MD, Cherolini CM. et al. The future of mindfulness training is digital, and the future is now. Curr Opin Psychol 2019; 28: 81-86
• 20 Russell L, Ugalde A, Milne D. et al. Digital characteristics and dissemination indicators to optimize delivery of internet-supported mindfulness-based interventions for people with a chronic condition: Systematic review. JMIR Mmental Hhealth 2018; 5 (03) e53
• 21 Schellekens MPJ, Jansen ETM, Willemse HMA. et al. A qualitative study on mindfulness-based stress reduction for breast cancer patients: How women experience participating with fellow patients. Support Care Cancer 2016; 24 (04) 1813-1820
• 22 Schreiter S, Mascarell-Maricic L, Rakitzis O. et al. Digital health applications in the area of mental health. Dtsch Arztebl International 2023; 120 (47) 797-803
• 23 Sevilla-Llewellyn-Jones J, Santesteban-Echarri O, Pryor I. et al. Web-based mindfulness interventions for mental health treatment: Systematic review and meta-analysis. JMIR Mental Health 2018; 5 (03) e10278
• 24 Sliwinski J, Katsikitis M, Jones CM. A review of interactive technologies as support tools for the cultivation of mindfulness. Mindfulness 2017; 8 (05) 1150-1159
• 25 Sommers-Spijkerman M, Austin J, Bohlmeijer E. et al. New evidence in the booming field of online mindfulness: An updated meta-analysis of randomized controlled trials. JMIR Mmental Hhealth 2021; 8 (07) e28168
• 26 Stefano G, Büttiker P, Weissenberger S. et al. Artificial intelligence: Deciphering the links between psychiatric disorders and neurodegenerative disease. Brain Sciences 2023; 13: 1055
• 27 Sturgill R, Martinasek M, Schmidt T. et al. A novel artificial intelligence-powered emotional Intelligence and Mindfulness App (Ajivar) for the college student population during the COVID-19 pandemic: Quantitative questionnaire study. JMIR Formative Research 2022; 5 (01) e25372
• 28 Tement S, Ketiš ZK, Miroševič S. et al. The impact of psychological interventions with elements of mindfulness (PIM) on empathy, well-being, and reduction of burnout in physicians: A systematic review. Int J Environ Res Public Health 2021; 18 (21) 11181
• 29 Webb CA, Hirshberg MJ, Davidson RJ. et al. Personalized prediction of response to smartphone-delivered meditation training: Randomized controlled trial. J Med Internet Res 2022; 24 (11) e41566
• 30 Wrede S, Sobke S, Michaelsen M. et al. Implementation of mindfulness at work considering digital support: A qualitative study with a systems theory approach. J Workplace Behav Health 2024; 1-26
• 31 Xing H, Su X, Liu Y. et al. Prediction of knee joint pain in Tai-Chi-practitioners: A cross-sectional machine learning approach. BMJ open 2023; 13 (08) e067036
• 32 Zhou X, Edirippulige S, Bai X. et al. Are online mental health interventions for youth effective? A systematic review. J Telemed Telecare 2021; 27 (10) 638-666
• 33 Zimmermann FF, Burrell B, Jordan J. The acceptability and potential benefits of mindfulness-based interventions in improving psychological well-being for adults with advanced cancer: A systematic review. Complement Ther Clin Pract 2018; 30: 68-78