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

Telehealth and Telemonitoring (1671) Artificial Intelligence (1371) Cost-Effectiveness and Economics (252) New Methods (944) Orthopedics (65) Postoperative Monitoring and Telemonitoring (123)

Published on in Vol 22, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16896, first published .
Artificial Intelligence–Assisted System in Postoperative Follow-up of Orthopedic Patients: Exploratory Quantitative and Qualitative Study

Artificial Intelligence–Assisted System in Postoperative Follow-up of Orthopedic Patients: Exploratory Quantitative and Qualitative Study

Artificial Intelligence–Assisted System in Postoperative Follow-up of Orthopedic Patients: Exploratory Quantitative and Qualitative Study

Authors of this article:

Yanyan Bian1 Author Orcid Image ;   Yongbo Xiang1 Author Orcid Image ;   Bingdu Tong1 Author Orcid Image ;   Bin Feng1 Author Orcid Image ;   Xisheng Weng1 Author Orcid Image
Article Authors Cited by (36) Tweetations (2) Metrics

Journals

  1. Park S, Kim N, Jeon J, Kim J, Lee I, Park K, Choi Y. Impact of urgently initiated tele-prescription due to COVID-19 on glycemic control in patients with type 2 diabetes. The Korean Journal of Internal Medicine 2021;36(4):942 View
  2. 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
  3. von Gerich H, Moen H, Block L, Chu C, DeForest H, Hobensack M, Michalowski M, Mitchell J, Nibber R, Olalia M, Pruinelli L, Ronquillo C, Topaz M, Peltonen L. Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence. International Journal of Nursing Studies 2022;127:104153 View
  4. Bernal J, Mazo C. Transparency of Artificial Intelligence in Healthcare: Insights from Professionals in Computing and Healthcare Worldwide. Applied Sciences 2022;12(20):10228 View
  5. Li J, Hu S, Shi C, Dong Z, Pan J, Ai Y, Liu J, Zhou W, Deng Y, Li Y, Yuan J, Zeng Z, Wu L, Yu H. A deep learning and natural language processing-based system for automatic identification and surveillance of high-risk patients undergoing upper endoscopy: A multicenter study. eClinicalMedicine 2022;53:101704 View
  6. Potekaev N, Dolya O, Frigo N, Atabieva A, Mayorova E. Artificial intelligence in healthcare: general considerations and philosophical aspects. Klinicheskaya dermatologiya i venerologiya 2022;21(6):749 View
  7. 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
  8. Nazir T, Mushhood Ur Rehman M, Asghar M, Kalia J. Artificial intelligence assisted acute patient journey. Frontiers in Artificial Intelligence 2022;5 View
  9. Owolabi E, Mac Quene T, Louw J, Davies J, Chu K. Telemedicine in Surgical Care in Low‐ and Middle‐Income Countries: A Scoping Review. World Journal of Surgery 2022;46(8):1855 View
  10. Pakkasjärvi N, Luthra T, Anand S. Artificial Intelligence in Surgical Learning. Surgeries 2023;4(1):86 View
  11. 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
  12. Jiao W, Zhang X, D’Souza F. The Economic Value and Clinical Impact of Artificial Intelligence in Healthcare: A Scoping Literature Review. IEEE Access 2023;11:123445 View
  13. Chow J, Blight V, Brown M, Glynn V, Lane B, Larkin A, Marshall S, Matthews P, Rowles M, Warner B. Curious thing, an artificial intelligence (AI)-based conversational agent for COVID-19 patient management. Australian Journal of Primary Health 2023;29(4):312 View
  14. 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
  15. Gould D, Dowsey M, Glanville-Hearst M, Spelman T, Bailey J, Choong P, Bunzli S. Patients’ Views on AI for Risk Prediction in Shared Decision-Making for Knee Replacement Surgery: Qualitative Interview Study. Journal of Medical Internet Research 2023;25:e43632 View
  16. Martinez-Ortigosa A, Martinez-Granados A, Gil-Hernández E, Rodriguez-Arrastia M, Ropero-Padilla C, Roman P, Leal-Costa C. Applications of Artificial Intelligence in Nursing Care: A Systematic Review. Journal of Nursing Management 2023;2023:1 View
  17. Beck J, Sandefur E, Vest M, Yu-Shan A, Peterman N, Apel P. Changes in Management at the Postoperative Visit After In-Office Wide Awake Local Anesthetic No Tourniquet Carpal Tunnel Release. The Journal of Hand Surgery 2023 View
  18. Singam A. Revolutionizing Patient Care: A Comprehensive Review of Artificial Intelligence Applications in Anesthesia. Cureus 2023 View
  19. 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
  20. Geda M, Tang Y, Lee C. Applications of artificial intelligence in Orthopaedic surgery: A systematic review and meta-analysis. Engineering Applications of Artificial Intelligence 2024;133:108326 View
  21. Rupp M, Gerdesmeyer L, Rab P, Siebenlist S. Chatbots in der (Sport‑)Orthopädie. Arthroskopie 2024;37(3):143 View
  22. Le K, Tay S, Choy K, Verjans J, Sasanelli N, Kong J. Applications of natural language processing tools in the surgical journey. Frontiers in Surgery 2024;11 View
  23. Wang S, Shi Y, Sui M, Shen J, Chen C, Zhang L, Zhang X, Ren D, Wang Y, Yang Q, Gao J, Cheng M. Telephone follow‐up based on artificial intelligence technology among hypertension patients: Reliability study. The Journal of Clinical Hypertension 2024;26(6):656 View
  24. Jules-Elysee K, Sigmund A, Tsai M, Simmons J. Expanding the perioperative lens: Does the end justify the means?. Journal of Clinical Anesthesia 2024;97:111522 View
  25. Lin S, Sun C, Chen D, Kang Y, Lai N, Chen K, Chen C. Perioperative application of chatbots: a systematic review and meta-analysis. BMJ Health & Care Informatics 2024;31(1):e100985 View
  26. McBee J, Han D, Liu L, Ma L, Adjeroh D, Xu D, Hu G. Assessing ChatGPT’s Competency in Addressing Interdisciplinary Inquiries on Chatbot Uses in Sports Rehabilitation: Simulation Study. JMIR Medical Education 2024;10:e51157 View
  27. Żydowicz W, Skokowski J, Marano L, Polom K. Navigating the Metaverse: A New Virtual Tool with Promising Real Benefits for Breast Cancer Patients. Journal of Clinical Medicine 2024;13(15):4337 View
  28. Villarreal-Espinosa J, Berreta R, Allende F, Garcia J, Ayala S, Familiari F, Chahla J. Accuracy assessment of ChatGPT responses to frequently asked questions regarding anterior cruciate ligament surgery. The Knee 2024;51:84 View
  29. Gorgy A, Xu H, Hawary H, Nepon H, Lee J, Vorstenbosch J. Integrating AI into Breast Reconstruction Surgery: Exploring Opportunities, Applications, and Challenges. Plastic Surgery 2024 View

Books/Policy Documents

  1. Thakur S, Goh J, Tham Y. Artificial Intelligence and Ophthalmology. View
  2. Misic D, Zdravkovic M. Personalized Orthopedics. View
  3. Sushma S, Anuradha T, Denslin Brabin D, Jose Anand A. Handbook of Research on Advanced Functional Materials for Orthopedic Applications. View