Published on 21.02.17 in Vol 5, No 2 (2017): February
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)
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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
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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
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. An AI boost for clinical trials. Nature 2019;573(7775):S100
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Dahne J, Tomko RL, McClure EA, Obeid JS, Carpenter MJ. Remote Methods for Conducting Tobacco-Focused Clinical Trials. Nicotine & Tobacco Research 2020;22(12):2134
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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: Validation of a Urine Tenofovir Immunoassay for Adherence Monitoring to PrEP and ART and Establishing the Cutoff for a Point-of-Care Test. JAIDS Journal of Acquired Immune Deficiency Syndromes 2019;81(1):72
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Fogel AL, Kvedar JC. Artificial intelligence powers digital medicine. npj Digital Medicine 2018;1(1)
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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
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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)
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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
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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
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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
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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 2021;76(3):209
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Mak K, Pichika MR. Artificial intelligence in drug development: present status and future prospects. Drug Discovery Today 2019;24(3):773
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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
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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
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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 2020;86(10):2000
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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)
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Koesmahargyo V, Abbas A, Zhang L, Guan L, Feng S, Yadav V, Galatzer-Levy IR. Accuracy of machine learning-based prediction of medication adherence in clinical research. Psychiatry Research 2020;294:113558
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Vatansever S, Schlessinger A, Wacker D, Kaniskan H, Jin J, Zhou M, Zhang B. Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions. Medicinal Research Reviews 2021;41(3):1427
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Väänänen A, Haataja K, Vehviläinen-Julkunen K, Toivanen P. AI in healthcare: A narrative review. F1000Research 2021;10:6
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Aggarwal N, Ahmed M, Basu S, Curtin JJ, Evans BJ, Matheny ME, Nundy S, Sendak MP, Shachar C, Shah RU, Thadaney-Israni S. Advancing Artificial Intelligence in Health Settings Outside the Hospital and Clinic. NAM Perspectives 2020;
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Dockendorf MF, Hansen BJ, Bateman KP, Moyer M, Shah JK, Shipley LA. Digitally Enabled, Patient‐Centric Clinical Trials: Shifting the Drug Development Paradigm. Clinical and Translational Science 2021;14(2):445
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Liu AY, Laborde ND, Coleman K, Vittinghoff E, Gonzalez R, Wilde G, Thorne AL, Ikeguchi E, Shafner L, Sunshine L, van der Straten A, Siegler AJ, Buchbinder S. DOT Diary: Developing a Novel Mobile App Using Artificial Intelligence and an Electronic Sexual Diary to Measure and Support PrEP Adherence Among Young Men Who Have Sex with Men. AIDS and Behavior 2021;25(4):1001
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. Design and conduct of confirmatory chronic pain clinical trials. PAIN Reports 2021;6(1):e845
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Devine EG, Pingitore AM, Margiotta KN, Hadaway NA, Reid K, Peebles K, Hyun JW. Frequency of concealment, fabrication and falsification of study data by deceptive subjects. Contemporary Clinical Trials Communications 2021;21:100713
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Curto M, Fazio F, Ulivieri M, Navari S, Lionetto L, Baldessarini RJ. Improving adherence to pharmacological treatment for schizophrenia: a systematic assessment. Expert Opinion on Pharmacotherapy 2021;22(9):1143
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Chivilgina O, Elger BS, Jotterand F. Digital Technologies for Schizophrenia Management: A Descriptive Review. Science and Engineering Ethics 2021;27(2)
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Larsen KG, Areberg J, Åström DO. Are self-reported and self-monitored adherence good proxies for reaching relevant plasma concentrations?: Experiences from a study of anti-depressants in healthy volunteers. Clinical Trials 2021;18(4):505
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Christie RH, Abbas A, Koesmahargyo V, Mirelman A, Dorsey ER, Brundin P, Bloem BR. Technology for Measuring and Monitoring Treatment Compliance Remotely. Journal of Parkinson's Disease 2021;11(s1):S77
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Babel A, Taneja R, Mondello Malvestiti F, Monaco A, Donde S. Artificial Intelligence Solutions to Increase Medication Adherence in Patients With Non-communicable Diseases. Frontiers in Digital Health 2021;3
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Schuhmacher A, Brieke C, Gassmann O, Hinder M, Hartl D. Systematic risk identification and assessment using a new risk map in pharmaceutical R&D. Drug Discovery Today 2021;26(12):2786
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Salcedo J, Rosales M, Kim JS, Nuno D, Suen S, Chang AH, Durand-Zaleski I. Cost-effectiveness of artificial intelligence monitoring for active tuberculosis treatment: A modeling study. PLOS ONE 2021;16(7):e0254950
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Weissler EH, Naumann T, Andersson T, Ranganath R, Elemento O, Luo Y, Freitag DF, Benoit J, Hughes MC, Khan F, Slater P, Shameer K, Roe M, Hutchison E, Kollins SH, Broedl U, Meng Z, Wong JL, Curtis L, Huang E, Ghassemi M. The role of machine learning in clinical research: transforming the future of evidence generation. Trials 2021;22(1)
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Bijral RK, Singh I, Manhas J, Sharma V. Exploring Artificial Intelligence in Drug Discovery: A Comprehensive Review. Archives of Computational Methods in Engineering 2022;29(4):2513
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Siripurapu S, Darimireddy NK, Chehri A, Sridhar B, Paramkusam AV. Technological Advancements and Elucidation Gadgets for Healthcare Applications: An Exhaustive Methodological Review-Part-I (AI, Big Data, Block Chain, Open-Source Technologies, and Cloud Computing). Electronics 2023;12(3):750
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Walton KM, Herrmann ES. Medication adherence in tobacco cessation clinical trials. Addiction Neuroscience 2023;6:100069
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Väänänen A, Haataja K, Vehviläinen-Julkunen K, Toivanen P. AI in healthcare: A narrative review. F1000Research 2021;10:6
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Kwon S, Firth J, Joshi D, Torous J. Accessibility and availability of smartphone apps for schizophrenia. Schizophrenia 2022;8(1)
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Correll CU, Solmi M, Cortese S, Fava M, Højlund M, Kraemer HC, McIntyre RS, Pine DS, Schneider LS, Kane JM. The future of psychopharmacology: a critical appraisal of ongoing phase 2/3 trials, and of some current trends aiming to de‐risk trial programmes of novel agents. World Psychiatry 2023;22(1):48
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Ray A, Bhardwaj A, Malik YK, Singh S, Gupta R. Artificial intelligence and Psychiatry: An overview. Asian Journal of Psychiatry 2022;70:103021
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Khan NZ, Javed MA. Use of Artificial Intelligence-Based Strategies for Assessing Suicidal Behavior and Mental Illness: A Literature Review. Cureus 2022;
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Mason M, Cho Y, Rayo J, Gong Y, Harris M, Jiang Y. Technologies for Medication Adherence Monitoring and Technology Assessment Criteria: Narrative Review. JMIR mHealth and uHealth 2022;10(3):e35157
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Schmidt A, Balitzki J, Grmaca L, Vogel J, Boehme P, Boden K, Hüser J, Truebel H, Mondritzki T. “Digital biomarkers” in preclinical heart failure models — a further step towards improved translational research. Heart Failure Reviews 2022;28(1):249
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Krittanawong C, Johnson KW, Tang WW. How artificial intelligence could redefine clinical trials in cardiovascular medicine: lessons learned from oncology. Personalized Medicine 2019;16(2):87
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Adje YH, Brooks KM, Castillo-Mancilla JR, Wyles DL, Anderson PL, Kiser JJ. The use of technology-based adherence monitoring in the treatment of hepatitis C virus. Therapeutic Advances in Infectious Disease 2022;9:204993612210956
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Goodman GR, Vaz C, Albrechta H, Boyer EW, Mayer KH, O’Cleirigh C, Chai PR. Ingestible Electronic Sensors for Monitoring Real-time Adherence to HIV Pre-exposure Prophylaxis and Antiretroviral Therapy. Current HIV/AIDS Reports 2022;19(5):433
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Bohlmann A, Mostafa J, Kumar M. Machine Learning and Medication Adherence: Scoping Review. JMIRx Med 2021;2(4):e26993
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Correia FD, Molinos M, Luís S, Carvalho D, Carvalho C, Costa P, Seabra R, Francisco G, Bento V, Lains J. Digitally Assisted Versus Conventional Home-Based Rehabilitation After Arthroscopic Rotator Cuff Repair. American Journal of Physical Medicine & Rehabilitation 2022;101(3):237
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Buchbinder SP, Siegler AJ, Coleman K, Vittinghoff E, Wilde G, Lockard A, Scott H, Anderson PL, Laborde N, van der Straten A, Christie RH, Marlborough M, Liu AY. Randomized Controlled Trial of Automated Directly Observed Therapy for Measurement and Support of PrEP Adherence Among Young Men Who have Sex with Men. AIDS and Behavior 2023;27(2):719
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Tiribelli S, Monnot A, Shah SF, Arora A, Toong PJ, Kong S. Ethics Principles for Artificial Intelligence–Based Telemedicine for Public Health. American Journal of Public Health 2023;113(5):577
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. Current Status and Future Direction of Artificial Intelligence in Healthcare and Medical Education. Korean Medical Education Review 2020;22(2):99
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Lu M, Yin J, Zhu Q, Lin G, Mou M, Liu F, Pan Z, You N, Lian X, Li F, Zhang H, Zheng L, Zhang W, Zhang H, Shen Z, Gu Z, Li H, Zhu F. Artificial Intelligence in Pharmaceutical Sciences. Engineering 2023;27:37
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McIntyre RS, Greenleaf W, Bulaj G, Taylor ST, Mitsi G, Saliu D, Czysz A, Silvesti G, Garcia M, Jain R. Digital health technologies and major depressive disorder. CNS Spectrums 2023;28(6):662
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Chakraborty C, Bhattacharya M, Dhama K, Agoramoorthy G. Artificial intelligence–enabled clinical trials might be a faster way to perform rapid clinical trials and counter future pandemics: lessons learned from the COVID-19 period. International Journal of Surgery 2023;109(5):1535
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Malik MA, Faraone SV, Michoel T, Haavik J. Use of big data and machine learning algorithms to extract possible treatment targets in neurodevelopmental disorders. Pharmacology & Therapeutics 2023;250:108530
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. Use of Artificial Intelligence in Drug Discovery and its Application in Drug Development. Asian Journal of Research in Chemistry 2023;:83
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Ekpezu AO, Wiafe I, Oinas-Kukkonen H. Predicting Adherence to Behavior Change Support Systems using Machine Learning: A Systematic Review (Preprint). JMIR AI 2023;
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Peng W, Bai X, Yang Y, Cui J, Xu W, Song L, Yang H, He W, Zhang Y, Zhang X, Li X, Lu J. Healthy lifestyle, statin, and mortality in people with high CVD risk: A nationwide population-based cohort study. American Journal of Preventive Cardiology 2024;17:100635
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Romagnoli A, Ferrara F, Langella R, Zovi A. Healthcare Systems and Artificial Intelligence: Focus on Challenges and the International Regulatory Framework. Pharmaceutical Research 2024;41(4):721
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.7030):
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Lu P, Yang Y, Liu S, Xie L, Lure F, Li M. Tuberculosis Control in Migrating Population. 2020. Chapter 9:191
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De Geest SM, Ribaut J, Denhaerynck K, Dobbels F. Psychosocial Aspects of Chronic Kidney Disease. 2021. :409
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Santoshi S, Sengupta D. Artificial Intelligence and Machine Learning in Healthcare. 2021. Chapter 4:71
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. Artificial Intelligence in Medicine. 2021. Chapter 214-1:1
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. Artificial Intelligence in Medicine. 2022. Chapter 214:1595
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Chavda VP, Vihol D, Patel A, Redwan EM, Uversky VN. Bioinformatics Tools for Pharmaceutical Drug Product Development. 2023. :1
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Saikia S, Prajapati JB, Prajapati BG, Padma VV, Pathak YV. Recent Advances in Therapeutic Drug Monitoring and Clinical Toxicology. 2022. Chapter 5:67
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Pokhriyal P, Chavda VP, Pathak M. Bioinformatics Tools for Pharmaceutical Drug Product Development. 2023. :401
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Naeem A, Suhail M, Basit A, Yali L, Xia ZM, Qin Z, Ming Y. A Handbook of Artificial Intelligence in Drug Delivery. 2023. :499
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Argenson A, Devi-Chou V. Principles of Gender-Specific Medicine. 2023. :601
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Nag A, Das A, Sil R, Kar A, Mandal D, Das B. Intelligent Systems Design and Applications. 2023. Chapter 13:128
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Das DR, Satpathy I, Patnaik BCM. AI and IoT-Based Technologies for Precision Medicine. 2023. chapter 7:108
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Mancini A, Fabbo A. Noninvasive Mechanical Ventilation and Neuropsychiatric Disorders. 2023. Chapter 33:345
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Fielding KL, Subbaraman R, Khan A, Celan C, Charalambous S, Franke MF, Huddart S, Katamba A, Law S, Stagg HR. Digital Respiratory Healthcare. 2023. 14:170
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Mourelatou EA, Iosif E, Galatou E, Sarigiannis Y, Vlasiou MC, Zacharia L, Petrou CC. Novel Formulations and Future Trends. 2024. :415
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