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Citing this Article

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Published on 21.02.17 in Vol 5, No 2 (2017): February

This paper is in the following e-collection/theme issue:

Works citing "Use of a Novel Artificial Intelligence Platform on Mobile Devices to Assess Dosing Compliance in a Phase 2 Clinical Trial in Subjects With Schizophrenia"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.7030):

(note that this is only a small subset of citations)

  1. Velligan DI, Maples NJ, Pokorny JJ, Wright C. Assessment of adherence to oral antipsychotic medications: What has changed over the past decade?. Schizophrenia Research 2020;215:17
    CrossRef
  2. Herrmann M, Boehme P, Hansen A, Jansson K, Rebacz P, Ehlers JP, Mondritzki T, Truebel H. Digital Competencies and Attitudes Toward Digital Adherence Solutions Among Elderly Patients Treated With Novel Anticoagulants: Qualitative Study. Journal of Medical Internet Research 2020;22(1):e13077
    CrossRef
  3. Gognieva DG, Shchekochikhin DY, Gavrilova EV, Syrkina EA, Bogdanova RS, Syrkin AL, Kopylov PY. The problem of adherence to treatment in general medical practice. Kardiologiya i serdechno-sosudistaya khirurgiya 2019;12(6):510
    CrossRef
  4. Woo M. An AI boost for clinical trials. Nature 2019;573(7775):S100
    CrossRef
  5. Gandhi M, Bacchetti P, Spinelli MA, Okochi H, Baeten JM, Siriprakaisil O, Klinbuayaem V, Rodrigues WC, Wang G, Vincent M, Cressey TR, Drain PK. Brief Report. JAIDS Journal of Acquired Immune Deficiency Syndromes 2019;81(1):72
    CrossRef
  6. Fiske A, Henningsen P, Buyx A. Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy. Journal of Medical Internet Research 2019;21(5):e13216
    CrossRef
  7. Barrett M, Boyne J, Brandts J, Brunner-La Rocca H, De Maesschalck L, De Wit K, Dixon L, Eurlings C, Fitzsimons D, Golubnitschaja O, Hageman A, Heemskerk F, Hintzen A, Helms TM, Hill L, Hoedemakers T, Marx N, McDonald K, Mertens M, Müller-Wieland D, Palant A, Piesk J, Pomazanskyi A, Ramaekers J, Ruff P, Schütt K, Shekhawat Y, Ski CF, Thompson DR, Tsirkin A, van der Mierden K, Watson C, Zippel-Schultz B. Artificial intelligence supported patient self-care in chronic heart failure: a paradigm shift from reactive to predictive, preventive and personalised care. EPMA Journal 2019;10(4):445
    CrossRef
  8. Van Biesen W, Decruyenaere J, Sideri K, Cockbain J, Sterckx S. Remote digital monitoring of medication intake: methodological, medical, ethical and legal reflections. Acta Clinica Belgica 2019;:1
    CrossRef
  9. Mak K, Pichika MR. Artificial intelligence in drug development: present status and future prospects. Drug Discovery Today 2019;24(3):773
    CrossRef
  10. Steinkamp JM, Goldblatt N, Borodovsky JT, LaVertu A, Kronish IM, Marsch LA, Schuman-Olivier Z. Technological Interventions for Medication Adherence in Adult Mental Health and Substance Use Disorders: A Systematic Review. JMIR Mental Health 2019;6(3):e12493
    CrossRef
  11. Eggerth A, Hayn D, Schreier G. Medication management needs information and communications technology‐based approaches, including telehealth and artificial intelligence. British Journal of Clinical Pharmacology 2019;
    CrossRef
  12. Graham S, Depp C, Lee EE, Nebeker C, Tu X, Kim H, Jeste DV. Artificial Intelligence for Mental Health and Mental Illnesses: an Overview. Current Psychiatry Reports 2019;21(11)
    CrossRef
  13. Fogel AL, Kvedar JC. Artificial intelligence powers digital medicine. npj Digital Medicine 2018;1(1)
    CrossRef
  14. McCaul ME, Wand GS. Detecting Deception in Our Research Participants: Are Your Participants Who You Think They Are?. Alcoholism: Clinical and Experimental Research 2018;42(2):230
    CrossRef
  15. Krittanawong C, Bomback AS, Baber U, Bangalore S, Messerli FH, Wilson Tang WH. Future Direction for Using Artificial Intelligence to Predict and Manage Hypertension. Current Hypertension Reports 2018;20(9)
    CrossRef
  16. Boehme P, Wienand P, Herrmann M, Truebel H, Mondritzki T. New digital adherence devices could prevent millions of strokes from atrial fibrillation by the end of the next century. Medical Hypotheses 2017;108:46
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.7030)

:
  1. Lu P, Yang Y, Liu S, Xie L, Lure F, Li M. Tuberculosis Control in Migrating Population. 2020. Chapter 9:191
    CrossRef