Published on in Vol 23, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19928, first published .
Utilization of Self-Diagnosis Health Chatbots in Real-World Settings: Case Study

Utilization of Self-Diagnosis Health Chatbots in Real-World Settings: Case Study

Utilization of Self-Diagnosis Health Chatbots in Real-World Settings: Case Study

Journals

  1. Jiao P, Hong L, Wang J, Yang J, Zhu R, Lajnef N, Zhu Z. Self-Triggered Thermomechanical Metamaterials with Asymmetric Structures for Programmable Response under Thermal Excitations. Materials 2021;14(9):2177 View
  2. Zhang Z, Genc Y, Wang D, Ahsen M, Fan X. Effect of AI Explanations on Human Perceptions of Patient-Facing AI-Powered Healthcare Systems. Journal of Medical Systems 2021;45(6) View
  3. Mittal M, Battineni G, Singh D, Nagarwal T, Yadav P. Web-based chatbot for Frequently Asked Queries (FAQ) in Hospitals. Journal of Taibah University Medical Sciences 2021;16(5):740 View
  4. Tozzi A, Gesualdo F, Urbani E, Sbenaglia A, Ascione R, Procopio N, Croci I, Rizzo C. Digital Surveillance Through an Online Decision Support Tool for COVID-19 Over One Year of the Pandemic in Italy: Observational Study. Journal of Medical Internet Research 2021;23(8):e29556 View
  5. Puspitasari I, Rinawan F, Purnama W, Susiarno H, Susanti A. Development of a Chatbot for Pregnant Women on a Posyandu Application in Indonesia: From Qualitative Approach to Decision Tree Method. Informatics 2022;9(4):88 View
  6. Reynolds T, Zhang J, Zheng K, Chen Y. Unpacking the Use of Laboratory Test Results in an Online Health Community throughout the Medical Care Trajectory. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  7. Wilson L, Marasoiu M. The Development and Use of Chatbots in Public Health: Scoping Review. JMIR Human Factors 2022;9(4):e35882 View
  8. Chang I, Shih Y, Kuo K. Why would you use medical chatbots? interview and survey. International Journal of Medical Informatics 2022;165:104827 View
  9. Roy S, Meena T, Lim S. Demystifying Supervised Learning in Healthcare 4.0: A New Reality of Transforming Diagnostic Medicine. Diagnostics 2022;12(10):2549 View
  10. Alturaiki A, Banjar H, Barefah A, Alnajjar S, Hindawi S, Tsiknakis M. A Smart Chatbot for Interactive Management in Beta Thalassemia Patients. International Journal of Telemedicine and Applications 2022;2022:1 View
  11. Kocaballi A, Sezgin E, Clark L, Carroll J, Huang Y, Huh-Yoo J, Kim J, Kocielnik R, Lee Y, Mamykina L, Mitchell E, Moore R, Murali P, Mynatt E, Park S, Pasta A, Richards D, Silva L, Smriti D, Spillane B, Zhang Z, Zubatiy T. Design and Evaluation Challenges of Conversational Agents in Health Care and Well-being: Selective Review Study. Journal of Medical Internet Research 2022;24(11):e38525 View
  12. Linares A, Bramstedt K, Chilukuri M, Doraiswamy M. Physician perceptions of surveillance: Wearables, Apps, and Chatbots for COVID-19. Digital Medicine 2022;8:10 View
  13. Arellano Carmona K, Chittamuru D, Kravitz R, Ramondt S, Ramírez A. Health Information Seeking From an Intelligent Web-Based Symptom Checker: Cross-sectional Questionnaire Study. Journal of Medical Internet Research 2022;24(8):e36322 View
  14. Razavi S, Schubert L, van Orden K, Ali M, Kane B, Hoque E. Discourse Behavior of Older Adults Interacting with a Dialogue Agent Competent in Multiple Topics. ACM Transactions on Interactive Intelligent Systems 2022;12(2):1 View
  15. Lee T, Jarupreechachan W, Tseng Y. Exploring low-income migrant workers’ health information-seeking behavior during COVID-19 in Taiwan: A qualitative study. DIGITAL HEALTH 2022;8:205520762211337 View
  16. Yang L, Ng W, Foo L, Liu Y, Yan M, Lei X, Zhang X, Ting D. Deep learning-based natural language processing in ophthalmology: applications, challenges and future directions. Current Opinion in Ophthalmology 2021;32(5):397 View
  17. Garcia G, Dehghanpoor R, Stringfellow E, Gupta M, Rochelle J, Mason E, Pujol T, Jalali M. Identifying and Characterizing Medical Advice-Seekers on a Social Media Forum for Buprenorphine Use. International Journal of Environmental Research and Public Health 2022;19(10):6281 View
  18. Kubb C, Foran H. Online Health Information Seeking for Self and Child: An Experimental Study of Parental Symptom Search. JMIR Pediatrics and Parenting 2022;5(2):e29618 View
  19. Kosowicz L, Tran K, Khanh T, Dang T, Pham V, Ta Thi Kim H, Thi Bach Duong H, Nguyen T, Phuong A, Le T, Ta V, Wickramasinghe N, Schofield P, Zelcer J, Pham Le T, Nguyen T. Lessons for Vietnam on the Use of Digital Technologies to Support Patient-Centered Care in Low- and Middle-Income Countries in the Asia-Pacific Region: Scoping Review. Journal of Medical Internet Research 2023;25:e43224 View
  20. Ciecierski-Holmes T, Singh R, Axt M, Brenner S, Barteit S. Artificial intelligence for strengthening healthcare systems in low- and middle-income countries: a systematic scoping review. npj Digital Medicine 2022;5(1) View
  21. Hogg H, Al-Zubaidy M, Talks J, Denniston A, Kelly C, Malawana J, Papoutsi C, Teare M, Keane P, Beyer F, Maniatopoulos G. Stakeholder Perspectives of Clinical Artificial Intelligence Implementation: Systematic Review of Qualitative Evidence. Journal of Medical Internet Research 2023;25:e39742 View
  22. You Y, Tsai C, Li Y, Ma F, Heron C, Gui X. Beyond Self-diagnosis: How a Chatbot-based Symptom Checker Should Respond. ACM Transactions on Computer-Human Interaction 2023;30(4):1 View
  23. 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
  24. Ramadhani C. Chatbots in Pharmacy: A Boon or a Bane for Patient Care and Pharmacy Practice?. Sciences of Pharmacy 2023;2(3):1 View
  25. Wutz M, Hermes M, Winter V, Köberlein-Neu J. Factors Influencing the Acceptability, Acceptance, and Adoption of Conversational Agents in Health Care: Integrative Review. Journal of Medical Internet Research 2023;25:e46548 View
  26. Talyshinskii A, Naik N, Hameed B, Juliebø-Jones P, Somani B. Potential of AI-Driven Chatbots in Urology: Revolutionizing Patient Care Through Artificial Intelligence. Current Urology Reports 2024;25(1):9 View
  27. Nutbeam D. Artificial intelligence and health literacy—proceed with caution. Health Literacy and Communication Open 2023;1(1) View
  28. Yin R, Neyens D. Examining how information presentation methods and a chatbot impact the use and effectiveness of electronic health record patient portals: An exploratory study. Patient Education and Counseling 2024;119:108055 View
  29. Wang Z, Keyes N, Crawford T, Choi J. InterviewBot: Real-Time End-to-End Dialogue System for Interviewing Students for College Admission. Information 2023;14(8):460 View
  30. Tan T, Roslan N, Li J, Zou X, Chen X, Santosa A. Patient Acceptability of Symptom Screening and Patient Education Using a Chatbot for Autoimmune Inflammatory Diseases: Survey Study. JMIR Formative Research 2023;7:e49239 View
  31. Kuroiwa T, Sarcon A, Ibara T, Yamada E, Yamamoto A, Tsukamoto K, Fujita K. The Potential of ChatGPT as a Self-Diagnostic Tool in Common Orthopedic Diseases: Exploratory Study. Journal of Medical Internet Research 2023;25:e47621 View
  32. Pallavi , Basumatary B, Shukla R, Kumar R, Das B, Sahani A. A Deep Learning-based System for Detecting Anemia from Eye Conjunctiva Images taken from a Smartphone. IETE Technical Review 2024;41(3):274 View
  33. Wang L, Zhang Z, Wang D, Cao W, Zhou X, Zhang P, Liu J, Fan X, Tian F. Human-centered design and evaluation of AI-empowered clinical decision support systems: a systematic review. Frontiers in Computer Science 2023;5 View
  34. 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 2023 View
  35. He X, Zheng X, Ding H. Existing Barriers Faced by and Future Design Recommendations for Direct-to-Consumer Health Care Artificial Intelligence Apps: Scoping Review. Journal of Medical Internet Research 2023;25:e50342 View
  36. An Y, Fang Q, Wang L. Enhancing patient education in cancer care: Intelligent cancer patient education model for effective communication. Computers in Biology and Medicine 2024;169:107874 View
  37. Ab Razak N, Muhammad Yusoff M, O.K. Rahmat R. ChatGPT Review: A Sophisticated Chatbot Models in Medical & Health-related Teaching and Learning. Malaysian Journal of Medicine and Health Sciences 2023;19(s12):98 View
  38. Wimbarti S, Kairupan B, Tallei T. Critical review of self‐diagnosis of mental health conditions using artificial intelligence. International Journal of Mental Health Nursing 2024;33(2):344 View
  39. Gordon E, Gacki-Smith J, Gooden M, Waite P, Yacat R, Abubakari Z, Duquette D, Agrawal A, Friedewald J, Savage S, Cooper M, Gilbert A, Muhammad L, Wicklund C. Development of a culturally targeted chatbot to inform living kidney donor candidates of African ancestry about APOL1 genetic testing: a mixed methods study. Journal of Community Genetics 2024;15(2):205 View
  40. Kim Y. AI Health Counselor’s Self-Disclosure: Its Impact on User Responses Based on Individual and Cultural Variation. International Journal of Human–Computer Interaction 2024:1 View
  41. 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;22(5):831 View
  42. Esmaeilzadeh P. Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations. Artificial Intelligence in Medicine 2024;151:102861 View
  43. Stade E, Stirman S, Ungar L, Boland C, Schwartz H, Yaden D, Sedoc J, DeRubeis R, Willer R, Eichstaedt J. Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation. npj Mental Health Research 2024;3(1) View
  44. Zou X, Na Y, Lai K, Liu G. Unpacking public resistance to health Chatbots: a parallel mediation analysis. Frontiers in Psychology 2024;15 View
  45. Laymouna M, Ma Y, Lessard D, Schuster T, Engler K, Lebouché B. Roles, Users, Benefits and Limitations of Chatbots in Healthcare: A Rapid Review (Preprint). Journal of Medical Internet Research 2024 View
  46. Jin E, Eastin M. Towards more trusted virtual physicians: the combinative effects of healthcare chatbot design cues and threat perception on health information trust. Behaviour & Information Technology 2024:1 View
  47. Gumusel E. A literature review of user privacy concerns in conversational chatbots: A social informatics approach: An Annual Review of Information Science and Technology (ARIST) paper. Journal of the Association for Information Science and Technology 2024 View
  48. Yang Y, Liu S, Lei P, Huang Z, Liu L, Tan Y. Assessing usability of intelligent guidance chatbots in Chinese hospitals: Cross-sectional study. DIGITAL HEALTH 2024;10 View
  49. Botha N, Ansah E, Segbedzi C, Dumahasi V, Maneen S, Kodom R, Tsedze I, Akoto L, Atsu F. Artificial intelligent tools: evidence-mapping on the perceived positive effects on patient-care and confidentiality. BMC Digital Health 2024;2(1) View

Books/Policy Documents

  1. Neef C, Mai V, Richert A. Human-Computer Interaction. User Experience and Behavior. View
  2. Blandford A. Handbook of Human Computer Interaction. View
  3. Yadav N, Bala S, Thakur L, Yadav N, Yadav D. Artificial Intelligence and Machine Learning in Healthcare. View
  4. Lal M, Neduncheliyan S. Design in the Era of Industry 4.0, Volume 1. View
  5. Yıldırım S. Computational Methods in Psychiatry. View
  6. Patel K. Design and Development of Emerging Chatbot Technology. View
  7. Yang M, Guo Y. Human-Computer Interaction. View