Published on in Vol 5, No 1 (2019): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12856, first published .
When Chatbots Meet Patients: One-Year Prospective Study of Conversations Between Patients With Breast Cancer and a Chatbot

When Chatbots Meet Patients: One-Year Prospective Study of Conversations Between Patients With Breast Cancer and a Chatbot

When Chatbots Meet Patients: One-Year Prospective Study of Conversations Between Patients With Breast Cancer and a Chatbot

Journals

  1. Maher C, Davis C, Curtis R, Short C, Murphy K. A Physical Activity and Diet Program Delivered by Artificially Intelligent Virtual Health Coach: Proof-of-Concept Study. JMIR mHealth and uHealth 2020;8(7):e17558 View
  2. Bibault J, Chaix B, Guillemassé A, Cousin S, Escande A, Perrin M, Pienkowski A, Delamon G, Nectoux P, Brouard B. A Chatbot Versus Physicians to Provide Information for Patients With Breast Cancer: Blind, Randomized Controlled Noninferiority Trial. Journal of Medical Internet Research 2019;21(11):e15787 View
  3. Tudor Car L, Dhinagaran D, Kyaw B, Kowatsch T, Joty S, Theng Y, Atun R. Conversational Agents in Health Care: Scoping Review and Conceptual Analysis. Journal of Medical Internet Research 2020;22(8):e17158 View
  4. Murphy A, Liszewski B. Artificial Intelligence and the Medical Radiation Profession: How Our Advocacy Must Inform Future Practice. Journal of Medical Imaging and Radiation Sciences 2019;50(4):S15 View
  5. Roca S, Sancho J, García J, Alesanco Á. Microservice chatbot architecture for chronic patient support. Journal of Biomedical Informatics 2020;102:103305 View
  6. Roman M, Bellei E, Biduski D, Pasqualotti A, De Araujo C, De Marchi A. “Hey assistant, how can I become a donor?” The case of a conversational agent designed to engage people in blood donation. Journal of Biomedical Informatics 2020;107:103461 View
  7. Schachner T, Keller R, v Wangenheim F. Artificial Intelligence-Based Conversational Agents for Chronic Conditions: Systematic Literature Review. Journal of Medical Internet Research 2020;22(9):e20701 View
  8. Omoregbe N, Ndaman I, Misra S, Abayomi-Alli O, Damaševičius R, Dogra A. Text Messaging-Based Medical Diagnosis Using Natural Language Processing and Fuzzy Logic. Journal of Healthcare Engineering 2020;2020:1 View
  9. Chung K, Cho H, Park J. A Chatbot for Perinatal Women’s and Partners’ Obstetric and Mental Health Care: Development and Usability Evaluation Study. JMIR Medical Informatics 2021;9(3):e18607 View
  10. Safi Z, Abd-Alrazaq A, Khalifa M, Househ M. Technical Aspects of Developing Chatbots for Medical Applications: Scoping Review. Journal of Medical Internet Research 2020;22(12):e19127 View
  11. Chaix B, Delamon G, Guillemassé A, Brouard B, Bibault J. Psychological distress during the COVID-19 pandemic in France: a national assessment of at-risk populations. General Psychiatry 2020;33(6):e100349 View
  12. Sato A, Haneda E, Suganuma N, Narimatsu H. Preliminary Screening for Hereditary Breast and Ovarian Cancer Using a Chatbot Augmented Intelligence Genetic Counselor: Development and Feasibility Study. JMIR Formative Research 2021;5(2):e25184 View
  13. Milne-Ives M, de Cock C, Lim E, Shehadeh M, de Pennington N, Mole G, Normando E, Meinert E. The Effectiveness of Artificial Intelligence Conversational Agents in Health Care: Systematic Review. Journal of Medical Internet Research 2020;22(10):e20346 View
  14. Ireland D, Bradford D, Szepe E, Lynch E, Martyn M, Hansen D, Gaff C. Introducing Edna: A trainee chatbot designed to support communication about additional (secondary) genomic findings. Patient Education and Counseling 2021;104(4):739 View
  15. Botwe B, Antwi W, Arkoh S, Akudjedu T. Radiographers’ perspectives on the emerging integration of artificial intelligence into diagnostic imaging: The Ghana study. Journal of Medical Radiation Sciences 2021;68(3):260 View
  16. Bitterman D, Miller T, Mak R, Savova G. Clinical Natural Language Processing for Radiation Oncology: A Review and Practical Primer. International Journal of Radiation Oncology*Biology*Physics 2021;110(3):641 View
  17. Rapp A, Curti L, Boldi A. The human side of human-chatbot interaction: A systematic literature review of ten years of research on text-based chatbots. International Journal of Human-Computer Studies 2021;151:102630 View
  18. Botwe B, Akudjedu T, Antwi W, Rockson P, Mkoloma S, Balogun E, Elshami W, Bwambale J, Barare C, Mdletshe S, Yao B, Arkoh S. The integration of artificial intelligence in medical imaging practice: Perspectives of African radiographers. Radiography 2021;27(3):861 View
  19. Siddique S, Chow J. Machine Learning in Healthcare Communication. Encyclopedia 2021;1(1):220 View
  20. Kataoka Y, Takemura T, Sasajima M, Katoh N. Development and Early Feasibility of Chatbots for Educating Patients With Lung Cancer and Their Caregivers in Japan: Mixed Methods Study. JMIR Cancer 2021;7(1):e26911 View
  21. Griffin A, Xing Z, Mikles S, Bailey S, Khairat S, Arguello J, Wang Y, Chung A. Information needs and perceptions of chatbots for hypertension medication self-management: a mixed methods study. JAMIA Open 2021;4(2) View
  22. Daguenet E, Magné N. Place et rôle de la téléconsultation en oncologie : routine et situation de crise. Bulletin du Cancer 2021;108(6):627 View
  23. Chen J, Agbodike O, Kuo W, Wang L, Huang C, Shen Y, Chen B. Online Textual Symptomatic Assessment Chatbot Based on Q&A Weighted Scoring for Female Breast Cancer Prescreening. Applied Sciences 2021;11(11):5079 View
  24. Baconnet M. Les communs numériques du soin : l’intelligence artificielle comme vecteur d’inclusion. Soins 2021;66(855):60 View
  25. Antwi W, Akudjedu T, Botwe B. Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers’ perspectives. Insights into Imaging 2021;12(1) View
  26. Jones L, Walters N, Brangan A, Ahmed C, Gatusky M, Campbell-Salome G, Ladd I, Sheldon A, Gidding S, McGowan M, Rahm A, Sturm A. Acceptability, Appropriateness, and Feasibility of Automated Screening Approaches and Family Communication Methods for Identification of Familial Hypercholesterolemia: Stakeholder Engagement Results from the IMPACT-FH Study. Journal of Personalized Medicine 2021;11(6):587 View
  27. 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 View
  28. Geoghegan L, Scarborough A, Wormald J, Harrison C, Collins D, Gardiner M, Bruce J, Rodrigues J. Automated conversational agents for post-intervention follow-up: a systematic review. BJS Open 2021;5(4) View
  29. Hayakawa M, Watanabe O, Shiga K, Fujishita M, Yamaki C, Ogo Y, Takahashi T, Ikeguchi Y, Takayama T. Exploring types of conversational agents for resolving cancer patients’ questions and concerns: Analysis of 100 telephone consultations on breast cancer. Patient Education and Counseling 2023;106:75 View
  30. Xu L, Sanders L, Li K, Chow J. Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review. JMIR Cancer 2021;7(4):e27850 View
  31. Prasitpuriprecha C, Pitakaso R, Gonwirat S, Enkvetchakul P, Preeprem T, Jantama S, Kaewta C, Weerayuth N, Srichok T, Khonjun S, Nanthasamroeng N. Embedded AMIS-Deep Learning with Dialog-Based Object Query System for Multi-Class Tuberculosis Drug Response Classification. Diagnostics 2022;12(12):2980 View
  32. Chuang T, Cheng W, Chiu Y, Fan Y, Chi C, Chang C, Liao C. Free interactive counselling program in a mobile communication application for improving health education on indwelling ureteric stents after ureterorenoscopic lithotripsy: An observational study. DIGITAL HEALTH 2022;8:205520762211177 View
  33. Daniel T, de Chevigny A, Champrigaud A, Valette J, Sitbon M, Jardin M, Chevalier D, Renet S. Answering Hospital Caregivers’ Questions at Any Time: Proof-of-Concept Study of an Artificial Intelligence–Based Chatbot in a French Hospital. JMIR Human Factors 2022;9(4):e39102 View
  34. Chaix B, Bibault J, Romain R, Guillemassé A, Neeral M, Delamon G, Moussalli J, Brouard B. Assessing the performances of a chatbot to collect real-life data of patients suffering from primary headache disorders. DIGITAL HEALTH 2022;8:205520762210977 View
  35. Roca S, Lozano M, García J, Alesanco Á. Validation of a Virtual Assistant for Improving Medication Adherence in Patients with Comorbid Type 2 Diabetes Mellitus and Depressive Disorder. International Journal of Environmental Research and Public Health 2021;18(22):12056 View
  36. Budler L, Gosak L, Stiglic G. Review of artificial intelligence‐based question‐answering systems in healthcare. WIREs Data Mining and Knowledge Discovery 2023;13(2) View
  37. Bin Sawad A, Narayan B, Alnefaie A, Maqbool A, Mckie I, Smith J, Yuksel B, Puthal D, Prasad M, Kocaballi A. A Systematic Review on Healthcare Artificial Intelligent Conversational Agents for Chronic Conditions. Sensors 2022;22(7):2625 View
  38. Dhinagaran D, Martinengo L, Ho M, Joty S, Kowatsch T, Atun R, Tudor Car L. Designing, Developing, Evaluating, and Implementing a Smartphone-Delivered, Rule-Based Conversational Agent (DISCOVER): Development of a Conceptual Framework. JMIR mHealth and uHealth 2022;10(10):e38740 View
  39. Wilson L, Marasoiu M. The Development and Use of Chatbots in Public Health: Scoping Review. JMIR Human Factors 2022;9(4):e35882 View
  40. He L, Basar E, Wiers R, Antheunis M, Krahmer E. Can chatbots help to motivate smoking cessation? A study on the effectiveness of motivational interviewing on engagement and therapeutic alliance. BMC Public Health 2022;22(1) View
  41. Bohlmann A, Mostafa J, Kumar M. Machine Learning and Medication Adherence: Scoping Review. JMIRx Med 2021;2(4):e26993 View
  42. Aggarwal A, Tam C, Wu D, Li X, Qiao S. Artificial Intelligence–Based Chatbots for Promoting Health Behavioral Changes: Systematic Review. Journal of Medical Internet Research 2023;25:e40789 View
  43. Kim A, Yang J, Jang Y, Baek J. Acceptance of an Informational Antituberculosis Chatbot Among Korean Adults: Mixed Methods Research. JMIR mHealth and uHealth 2021;9(11):e26424 View
  44. Sagstad M, Morken N, Lund A, Dingsør L, Nilsen A, Sorbye L. Quantitative User Data From a Chatbot Developed for Women With Gestational Diabetes Mellitus: Observational Study. JMIR Formative Research 2022;6(4):e28091 View
  45. Luca S, Clausen M, Shaw A, Lee W, Krishnapillai S, Adi-Wauran E, Faghfoury H, Costain G, Jobling R, Aronson M, Liston E, Silver J, Shuman C, Chad L, Hayeems R, Bombard Y, Bernier F, Brudno M, Carroll J, Cohn R, Dhalla I, Friedman J, Hewson S, Jamieson T, Kodida R, Laberge A, Lerner-Ellis J, Mamdani M, Marshall C, Osmond M, Pham Q, Reble E, Rudzicz F, Seto E, Shastri-Estrada S, Smith M, Thorpe K, Ungar W. Finding the sweet spot: a qualitative study exploring patients’ acceptability of chatbots in genetic service delivery. Human Genetics 2023;142(3):321 View
  46. Chang I, Shih Y, Kuo K. Why would you use medical chatbots? interview and survey. International Journal of Medical Informatics 2022;165:104827 View
  47. Schick A, Feine J, Morana S, Maedche A, Reininghaus U. Validity of Chatbot Use for Mental Health Assessment: Experimental Study. JMIR mHealth and uHealth 2022;10(10):e28082 View
  48. He L, Balaji D, Wiers R, Antheunis M, Krahmer E. Effectiveness and Acceptability of Conversational Agents for Smoking Cessation: A Systematic Review and Meta-analysis. Nicotine and Tobacco Research 2023;25(7):1241 View
  49. Peng M, Wickersham J, Altice F, Shrestha R, Azwa I, Zhou X, Halim M, Ikhtiaruddin W, Tee V, Kamarulzaman A, Ni Z. Formative Evaluation of the Acceptance of HIV Prevention Artificial Intelligence Chatbots By Men Who Have Sex With Men in Malaysia: Focus Group Study. JMIR Formative Research 2022;6(10):e42055 View
  50. van Bussel M, Odekerken–Schröder G, Ou C, Swart R, Jacobs M. Analyzing the determinants to accept a virtual assistant and use cases among cancer patients: a mixed methods study. BMC Health Services Research 2022;22(1) View
  51. Ma D, Orner D, Ghaly M, Parashar B, Ames J, Chen W, Potters L, Teckie S. Automated health chats for symptom management of head and neck cancer patients undergoing radiation therapy. Oral Oncology 2021;122:105551 View
  52. Phan Q, Tseng C, Thi Hoai Le T, Nguyen T. The application of chatbot on Vietnamese misgrant workers’ right protection in the implementation of new generation free trade agreements (FTAS). AI & SOCIETY 2023;38(4):1771 View
  53. Eagle T, Blau C, Bales S, Desai N, Li V, Whittaker S. “I don’t know what you mean by `I am anxious'”: A New Method for Evaluating Conversational Agent Responses to Standardized Mental Health Inputs for Anxiety and Depression. ACM Transactions on Interactive Intelligent Systems 2022;12(2):1 View
  54. Briggs L, Labban M, Alkhatib K, Nguyen D, Cole A, Trinh Q. Digital technologies in cancer care: a review from the clinician's perspective. Journal of Comparative Effectiveness Research 2022;11(7):533 View
  55. Dwyer T, Hoit G, Burns D, Higgins J, Chang J, Whelan D, Kiroplis I, Chahal J. Use of an Artificial Intelligence Conversational Agent (Chatbot) for Hip Arthroscopy Patients Following Surgery. Arthroscopy, Sports Medicine, and Rehabilitation 2023;5(2):e495 View
  56. Groenier M, Spijkerboer K, Venix L, Bannink L, Yperlaan S, Eyck Q, van Manen J, Miedema H. Evaluation of the impact of technical physicians on improving individual patient care with technology. BMC Medical Education 2023;23(1) View
  57. Tawfik E, Ghallab E, Moustafa A. A nurse versus a chatbot ‒ the effect of an empowerment program on chemotherapy-related side effects and the self-care behaviors of women living with breast Cancer: a randomized controlled trial. BMC Nursing 2023;22(1) View
  58. Nehme M, Schneider F, Perrin A, Sum Yu W, Schmitt S, Violot G, Ducrot A, Tissandier F, Posfay-Barbe K, Guessous I. The Development of a Chatbot Technology to Disseminate Post–COVID-19 Information: Descriptive Implementation Study. Journal of Medical Internet Research 2023;25:e43113 View
  59. Oganov A, Seddon I, Jabbehdari S, Uner O, Fonoudi H, Yazdanpanah G, Outani O, Arevalo J. Artificial intelligence in retinal image analysis: Development, advances, and challenges. Survey of Ophthalmology 2023;68(5):905 View
  60. Evans E, Zengul A, Knight A, Willig A, Cherrington A, Mehta T, Thirumalai M. My Health, My Life, My Way—An Inclusive Web-Based Self-management Program for People With Disabilities Living With Chronic Conditions: Protocol for a Multiphase Optimization Strategy Study. JMIR Research Protocols 2023;12:e31694 View
  61. Huang M, Weng C, Kuo H, Su Y. Using a chatbot to reduce emergency department visits and unscheduled hospitalizations among patients with gynecologic malignancies during chemotherapy: A retrospective cohort study. Heliyon 2023;9(5):e15798 View
  62. Wang A, Qian Z, Briggs L, Cole A, Reis L, Trinh Q. The Use of Chatbots in Oncological Care: A Narrative Review. International Journal of General Medicine 2023;Volume 16:1591 View
  63. Langevin R, Berry A, Zhang J, Fockele C, Anderson L, Hsieh D, Hartzler A, Duber H, Hsieh G. Implementation Fidelity of Chatbot Screening for Social Needs: Acceptability, Feasibility, Appropriateness. Applied Clinical Informatics 2023;14(02):374 View
  64. Champendal M, Marmy L, Malamateniou C, Sá dos Reis C. Artificial intelligence to support person-centred care in breast imaging - A scoping review. Journal of Medical Imaging and Radiation Sciences 2023;54(3):511 View
  65. van Breugel M, Fehrmann R, Bügel M, Rezwan F, Holloway J, Nawijn M, Fontanella S, Custovic A, Koppelman G. Current state and prospects of artificial intelligence in allergy. Allergy 2023;78(10):2623 View
  66. Oleck N, Naga H, Nichols D, Morris M, Dhingra B, Patel A. Navigating the Ethical Landmines of ChatGPT: Implications of Intelligent Chatbots in Plastic Surgery Clinical Practice. Plastic and Reconstructive Surgery - Global Open 2023;11(9):e5290 View
  67. Chaturvedi R, Verma S, Das R, Dwivedi Y. Social companionship with artificial intelligence: Recent trends and future avenues. Technological Forecasting and Social Change 2023;193:122634 View
  68. Siglen E, Vetti H, Augestad M, Steen V, Lunde Å, Bjorvatn C. Evaluation of the Rosa Chatbot Providing Genetic Information to Patients at Risk of Hereditary Breast and Ovarian Cancer: Qualitative Interview Study. Journal of Medical Internet Research 2023;25:e46571 View
  69. Bond A, Mccay K, Lal S. Artificial intelligence & clinical nutrition: What the future might have in store. Clinical Nutrition ESPEN 2023;57:542 View
  70. Lechien J, Georgescu B, Hans S, Chiesa-Estomba C. ChatGPT performance in laryngology and head and neck surgery: a clinical case-series. European Archives of Oto-Rhino-Laryngology 2024;281(1):319 View
  71. Albino de Queiroz D, Silva Passarello R, Veloso de Moura Fé V, Rossini A, Folchini da Silveira E, Aparecida Isquierdo Fonseca de Queiroz E, André da Costa C. A wearable chatbot-based model for monitoring colorectal cancer patients in the active phase of treatment. Healthcare Analytics 2023;4:100257 View
  72. Adus S, Macklin J, Pinto A. Exploring patient perspectives on how they can and should be engaged in the development of artificial intelligence (AI) applications in health care. BMC Health Services Research 2023;23(1) View
  73. Garcia Valencia O, Suppadungsuk S, Thongprayoon C, Miao J, Tangpanithandee S, Craici I, Cheungpasitporn W. Ethical Implications of Chatbot Utilization in Nephrology. Journal of Personalized Medicine 2023;13(9):1363 View
  74. Al Shboul M, Alwreikat A, Alotaibi F. Investigating the Use of ChatGpt as a Novel Method for Seeking Health Information: A Qualitative Approach. Science & Technology Libraries 2023:1 View
  75. Singh A, Schooley B, Patel N. Effects of User-Reported Risk Factors and Follow-Up Care Activities on Satisfaction With a COVID-19 Chatbot: Cross-Sectional Study. JMIR mHealth and uHealth 2023;11:e43105 View
  76. Suppadungsuk S, Thongprayoon C, Miao J, Krisanapan P, Qureshi F, Kashani K, Cheungpasitporn W. Exploring the Potential of Chatbots in Critical Care Nephrology. Medicines 2023;10(10):58 View
  77. Ramadhani C. Chatbots in Pharmacy: A Boon or a Bane for Patient Care and Pharmacy Practice?. Sciences of Pharmacy 2023;2(3):1 View
  78. Ding H, Simmich J, Vaezipour A, Andrews N, Russell T. Evaluation framework for conversational agents with artificial intelligence in health interventions: a systematic scoping review. Journal of the American Medical Informatics Association 2024;31(3):746 View
  79. Huang M, Ki E. Examining the Effect of Anthropomorphic Design Cues on Healthcare Chatbots Acceptance and Organization-Public Relationships: Trust in a Warm Human Vs. a Competent Machine. International Journal of Human–Computer Interaction 2023:1 View
  80. Šafran V, Lin S, Nateqi J, Martin A, Smrke U, Ariöz U, Plohl N, Rojc M, Bēma D, Chávez M, Horvat M, Mlakar I. Multilingual Framework for Risk Assessment and Symptom Tracking (MRAST). Sensors 2024;24(4):1101 View
  81. Martins A, Londral A, L. Nunes I, V. Lapão L. Unlocking human-like conversations: Scoping review of automation techniques for personalized healthcare interventions using conversational agents. International Journal of Medical Informatics 2024;185:105385 View
  82. MacNeill A, MacNeill L, Yi S, Goudreau A, Luke A, Doucet S. Depiction of conversational agents as health professionals: a scoping review. JBI Evidence Synthesis 2024 View
  83. Anisha S, Sen A, Bain C. Evaluating the Potential and Pitfalls of AI-Powered Conversational Agents as Human-like Virtual Health Carers in the Remote Management of Non-Communicable Diseases: A Scoping Review (Preprint). Journal of Medical Internet Research 2024 View

Books/Policy Documents

  1. van Wezel M, Croes E, Antheunis M. Chatbot Research and Design. View
  2. Davids J, Ashrafian H. Artificial Intelligence in Medicine. View
  3. Henkel T, Linn A, van der Goot M. Chatbot Research and Design. View
  4. Wójcik M. Electronic Government and the Information Systems Perspective. View
  5. Krahmer E, Bosse T, de Bruijn G. The International Encyclopedia of Health Communication. View
  6. Davids J, Ashrafian H. Artificial Intelligence in Medicine. View
  7. Félix B, Ribeiro J. Chatbot Research and Design. View
  8. Mir Y, Pupo I, Piñero Pérez P, Acuña L, Pérez R. Computational Intelligence in Engineering and Project Management. View