Published on in Vol 22, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19127, first published .
Technical Aspects of Developing Chatbots for Medical Applications: Scoping Review

Technical Aspects of Developing Chatbots for Medical Applications: Scoping Review

Technical Aspects of Developing Chatbots for Medical Applications: Scoping Review

Journals

  1. Yum Y, Lee J, Jang M, Kim Y, Kim J, Kim S, Shin U, Song S, Joo H. A Word Pair Dataset for Semantic Similarity and Relatedness in Korean Medical Vocabulary: Reference Development and Validation. JMIR Medical Informatics 2021;9(6):e29667 View
  2. Kolenik T, Gams M. Intelligent Cognitive Assistants for Attitude and Behavior Change Support in Mental Health: State-of-the-Art Technical Review. Electronics 2021;10(11):1250 View
  3. Motger Q, Franch X, Marco J. Software-Based Dialogue Systems: Survey, Taxonomy, and Challenges. ACM Computing Surveys 2023;55(5):1 View
  4. Alhassan N, Saad Albarrak A, Bhatia S, Agarwal P, Sah Tyagi S. A Novel Framework for Arabic Dialect Chatbot Using Machine Learning. Computational Intelligence and Neuroscience 2022;2022:1 View
  5. Wilson L, Marasoiu M. The Development and Use of Chatbots in Public Health: Scoping Review. JMIR Human Factors 2022;9(4):e35882 View
  6. 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
  7. Hirosawa T, Harada Y, Yokose M, Sakamoto T, Kawamura R, Shimizu T. Diagnostic Accuracy of Differential-Diagnosis Lists Generated by Generative Pretrained Transformer 3 Chatbot for Clinical Vignettes with Common Chief Complaints: A Pilot Study. International Journal of Environmental Research and Public Health 2023;20(4):3378 View
  8. Deepaisarn S, Imkome E, Wongpatikaseree K, Yuenyong S, Lakanavisid P, Soonthornchaiva R, Yomaboot P, Angkoonsawaengsuk A, Munpansa N. Validation of a Thai artificial chatmate designed for cheering up the elderly during the COVID-19 pandemic. F1000Research 2022;11:1411 View
  9. Kim Y, Kim J, Kim Y, Song S, Joo H. Predicting medical specialty from text based on a domain-specific pre-trained BERT. International Journal of Medical Informatics 2023;170:104956 View
  10. Nagaraju K, Jandhyala N, Konda H, Maheen F, Rapolu R, Mudhunuri A, G C. Chatbot to predict need of a stent in cardiac treatment. F1000Research 2022;11:1364 View
  11. 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
  12. Powell L, Nizam M, Nour R, Zidoun Y, Sleibi R, Kaladhara Warrier S, Al Suwaidi H, Zary N. Conversational Agents in Health Education: Protocol for a Scoping Review. JMIR Research Protocols 2022;11(4):e31923 View
  13. Figueroa C, Luo T, Jacobo A, Munoz A, Manuel M, Chan D, Canny J, Aguilera A. Conversational Physical Activity Coaches for Spanish and English Speaking Women: A User Design Study. Frontiers in Digital Health 2021;3 View
  14. Penrice D, Rattan P, Simonetto D. Artificial Intelligence and the Future of Gastroenterology and Hepatology. Gastro Hep Advances 2022;1(4):581 View
  15. Bilquise G, Ibrahim S, Shaalan K, Yan Z. Emotionally Intelligent Chatbots: A Systematic Literature Review. Human Behavior and Emerging Technologies 2022;2022:1 View
  16. 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
  17. Müller R, Primc N, Kuhn E. 'You have to put a lot of trust in me': autonomy, trust, and trustworthiness in the context of mobile apps for mental health. Medicine, Health Care and Philosophy 2023;26(3):313 View
  18. Gopinath K, Kasilingam D. Antecedents of intention to use chatbots in service encounters: A meta‐analytic review. International Journal of Consumer Studies 2023;47(6):2367 View
  19. Koebe P, Bohnet-Joschko S. The Impact of Digital Transformation on Inpatient Care: Mixed Methods Study. JMIR Public Health and Surveillance 2023;9:e40622 View
  20. 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
  21. Sevgi U, Erol G, Doğruel Y, Sönmez O, Tubbs R, Güngor A. The role of an open artificial intelligence platform in modern neurosurgical education: a preliminary study. Neurosurgical Review 2023;46(1) View
  22. Liu C, Zowghi D, Peng G, Kong S. Information quality of conversational agents in healthcare. Information Development 2023:026666692311724 View
  23. Baglivo F, De Angelis L, Casigliani V, Arzilli G, Privitera G, Rizzo C. Exploring the Possible Use of AI Chatbots in Public Health Education: Feasibility Study. JMIR Medical Education 2023;9:e51421 View
  24. Rogovets A, Mazurkevitch A, Suvorova I, Vinnik M, Prikhodko A. Chat-Bot as a Way to Support Victims of School Bullying. Journal of Modern Foreign Psychology 2023;12(3):103 View
  25. Simhadri Apparao Polireddi N, Kavitha J. Effectiveness of automated chatbots for operational support and self-service based on fuzzy classifier for ASD. Soft Computing 2023 View
  26. 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
  27. Corrêa J, Neto A, Pinto G, Lima L, Teles A. Lhia: A Smart Chatbot for Breastfeeding Education and Recruitment of Human Milk Donors. Applied Sciences 2023;13(12):6923 View
  28. Chakraborty C, Pal S, Bhattacharya M, Dash S, Lee S. Overview of Chatbots with special emphasis on artificial intelligence-enabled ChatGPT in medical science. Frontiers in Artificial Intelligence 2023;6 View
  29. Son Y, Kim S, Lee W, Won H, Cho J, Hong J, Choi H, Kim D, Lim A, Kim H. The effects of a 24‐week interactive text message‐based mobile health intervention for enhancing self‐care behaviours of patients with heart failure: A quasi‐experimental study. Nursing Open 2023;10(9):6309 View
  30. 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
  31. Chow J, Wong V, Sanders L, Li K. Developing an AI-Assisted Educational Chatbot for Radiotherapy Using the IBM Watson Assistant Platform. Healthcare 2023;11(17):2417 View
  32. Mahdavi A, Amanzadeh M, Hamedan M, Naemi R. Artificial Intelligence-Based Chatbots to Combat COVID-19 Pandemic: A Scoping Review. Shiraz E-Medical Journal 2023;24(11) View
  33. Kiuchi K, Otsu K, Hayashi Y. Psychological insights into the research and practice of embodied conversational agents, chatbots and social assistive robots: a systematic meta-review. Behaviour & Information Technology 2023:1 View
  34. Malik S, Zaheer S. ChatGPT as an aid for pathological diagnosis of cancer. Pathology - Research and Practice 2024;253:154989 View
  35. Sabir Z, Ben Said S, Al-Mdallal Q. An artificial neural network approach for the language learning model. Scientific Reports 2023;13(1) View
  36. Mohammad‐Rahimi H, Ourang S, Pourhoseingholi M, Dianat O, Dummer P, Nosrat A. Validity and reliability of artificial intelligence chatbots as public sources of information on endodontics. International Endodontic Journal 2024;57(3):305 View
  37. Deepaisarn S, Imkome E, Wongpatikaseree K, Yuenyong S, Lakanavisid P, Soonthornchaiva R, Yomaboot P, Angkoonsawaengsuk A, Munpansa N. Validation of a Thai artificial chatmate designed for cheering up the elderly during the COVID-19 pandemic. F1000Research 2024;11:1411 View
  38. Müller R, Klemmt M, Koch R, Ehni H, Henking T, Langmann E, Wiesing U, Ranisch R. “That’s just Future Medicine” - a qualitative study on users’ experiences of symptom checker apps. BMC Medical Ethics 2024;25(1) View
  39. Babu A, Boddu S. BERT-Based Medical Chatbot: Enhancing Healthcare Communication through Natural Language Understanding. Exploratory Research in Clinical and Social Pharmacy 2024;13:100419 View
  40. Deepaisarn S, Imkome E, Wongpatikaseree K, Yuenyong S, Lakanavisid P, Soonthornchaiva R, Yomaboot P, Angkoonsawaengsuk A, Munpansa N. Validation of a Thai artificial chatmate designed for cheering up the elderly during the COVID-19 pandemic. F1000Research 2024;11:1411 View
  41. Abavisani M, Khoshrou A, Karbas Foroushan S, Sahebkar A. Chatting with artificial intelligence to combat antibiotic resistance: Opportunities and challenges. Current Research in Biotechnology 2024;7:100197 View
  42. Mastrokostas P, Mastrokostas L, Emara A, Wellington I, Ginalis E, Houten J, Khalsa A, Saleh A, Razi A, Ng M. GPT-4 as a Source of Patient Information for Anterior Cervical Discectomy and Fusion: A Comparative Analysis Against Google Web Search. Global Spine Journal 2024 View
  43. 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

Books/Policy Documents

  1. Liu C, Zhang B, Peng G. Distributed, Ambient and Pervasive Interactions. View
  2. Leeuwis L, He L. Chatbot Research and Design. View
  3. van Assen M, Muscogiuri E, Tessarin G, De Cecco C. Artificial Intelligence in Cardiothoracic Imaging. View
  4. Lal M, Neduncheliyan S. Design in the Era of Industry 4.0, Volume 1. View
  5. Villa L, Carneros-Prado D, Sánchez-Miguel A, Dobrescu C, Hervás R. Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023). View
  6. Arabiat O. Technological Innovations for Business, Education and Sustainability. View