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Citing this Article

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Published on 07.04.16 in Vol 5, No 2 (2016): Apr-Jun

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

Works citing "Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools: Protocol for a Randomized Study Funded by the US Department of Veterans Affairs Health Services Research and Development Program"

According to Crossref, the following articles are citing this article (DOI 10.2196/resprot.4995):

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

  1. 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
  2. Schofield P, Shaw T, Pascoe M. Toward Comprehensive Patient-Centric Care by Integrating Digital Health Technology With Direct Clinical Contact in Australia. Journal of Medical Internet Research 2019;21(6):e12382
    CrossRef
  3. Brandt CJ, Søgaard GI, Clemensen J, Sndergaard J, Nielsen JB. General Practitioners’ Perspective on eHealth and Lifestyle Change: Qualitative Interview Study. JMIR mHealth and uHealth 2018;6(4):e88
    CrossRef
  4. Hassanzadeh P, Atyabi F, Dinarvand R. The significance of artificial intelligence in drug delivery system design. Advanced Drug Delivery Reviews 2019;151-152:169
    CrossRef
  5. Forman EM, Kerrigan SG, Butryn ML, Juarascio AS, Manasse SM, Ontañón S, Dallal DH, Crochiere RJ, Moskow D. Can the artificial intelligence technique of reinforcement learning use continuously-monitored digital data to optimize treatment for weight loss?. Journal of Behavioral Medicine 2019;42(2):276
    CrossRef
  6. Higgins DM, Buta E, Williams DA, Halat A, Bair MJ, Heapy AA, Krein SL, Rajeevan H, Rosen MI, Kerns RD. Internet‐Based Pain Self‐Management for Veterans: Feasibility and Preliminary Efficacy of the Pain EASE Program. Pain Practice 2020;20(4):357
    CrossRef
  7. Sadeh-Sharvit S, Hollon SD. Leveraging the Power of Nondisruptive Technologies to Optimize Mental Health Treatment: Case Study. JMIR Mental Health 2020;7(11):e20646
    CrossRef
  8. Piette JD, Newman S, Krein SL, Marinec N, Chen J, Williams DA, Edmond SN, Driscoll M, LaChappelle KM, Kerns RD, Maly M, Kim HM, Farris KB, Higgins DM, Buta E, Heapy AA. Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools. JAMA Internal Medicine 2022;182(9):975
    CrossRef
  9. Siontis GCM, Sweda R, Noseworthy PA, Friedman PA, Siontis KC, Patel CJ. Development and validation pathways of artificial intelligence tools evaluated in randomised clinical trials. BMJ Health & Care Informatics 2021;28(1):e100466
    CrossRef
  10. Lin YK, Richardson C, Dobrin I, Pop-Busui R, Piatt G, Piette J. Accessibility and Openness to Diabetes Management Support With Mobile Phones: Survey Study of People With Type 1 Diabetes Using Advanced Diabetes Technologies. JMIR Diabetes 2022;7(2):e36140
    CrossRef
  11. Liu JY, Man DW, Lai FH, Cheung TC, Cheung AK, Cheung DS, Choi TK, Fong GC, Kwan RY, Lam SC, Ng VT, Wong H, Yang L, Shum DH. A Health App for Post-Pandemic Years (HAPPY) for people with physiological and psychosocial distress during the post-pandemic era: Protocol for a randomized controlled trial. DIGITAL HEALTH 2023;9
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/resprot.4995):

  1. Fiske A, Henningsen P, Buyx A. Ethics of Digital Well-Being. 2020. Chapter 10:207
    CrossRef
  2. MacMartin-Moglia K, Mahler M. Precision Medicine and Artificial Intelligence. 2021. :267
    CrossRef
  3. Raman RK, Varshney LR. Handbook on Blockchain. 2022. Chapter 8:257
    CrossRef
  4. . Artificial Intelligence in Anesthesiology. 2023. Chapter 9:79
    CrossRef