DOI QR코드

DOI QR Code

Can Artificial Intelligence Change the Practice of Managing Hypertension?

  • Se-Eun Kim (Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine) ;
  • Chan Joo Lee (Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine)
  • Received : 2022.09.12
  • Accepted : 2022.09.29
  • Published : 2022.10.01

Abstract

Keywords

Acknowledgement

This work was supported by a National Research Foundation of Korea grant funded by the Korean government (MSIT) (Grant Number 2020R1C1C1013627).

References

  1. Shin J, Cho MC. Updated reasons and clinical implications of new Korean hypertension guidelines for cardiologists. Korean Circ J 2020;50:476-84. https://doi.org/10.4070/kcj.2019.0338
  2. SPRINT Research Group, Wright JT Jr, Williamson JD, et al. A randomized trial of intensive versus standard blood-pressure control. N Engl J Med 2015;373:2103-16. https://doi.org/10.1056/NEJMoa1511939
  3. Zhang W, Zhang S, Deng Y, et al. Trial of intensive blood-pressure control in older patients with hypertension. N Engl J Med 2021;385:1268-79. https://doi.org/10.1056/NEJMoa2111437
  4. Jo SH, Kim SA, Park KH, Kim HS, Han SJ, Park WJ. Self-blood pressure monitoring is associated with improved awareness, adherence, and attainment of target blood pressure goals: prospective observational study of 7751 patients. J Clin Hypertens (Greenwich) 2019;21:1298-304. https://doi.org/10.1111/jch.13647
  5. Agarwal R, Bills JE, Hecht TJ, Light RP. Role of home blood pressure monitoring in overcoming therapeutic inertia and improving hypertension control: a systematic review and meta-analysis. Hypertension 2011;57:29-38. https://doi.org/10.1161/HYPERTENSIONAHA.110.160911
  6. Lee CJ, Park S. The role of home blood pressure telemonitoring for blood pressure control. Pulse (Basel) 2016;4:78-84. https://doi.org/10.1159/000448375
  7. Omboni S, Gazzola T, Carabelli G, Parati G. Clinical usefulness and cost effectiveness of home blood pressure telemonitoring: meta-analysis of randomized controlled studies. J Hypertens 2013;31:455-67. https://doi.org/10.1097/HJH.0b013e32835ca8dd
  8. Chaikijurajai T, Laffin LJ, Tang WHW. Artificial intelligence and hypertension: recent advances and future outlook. Am J Hypertens 2020;33:967-74. https://doi.org/10.1093/ajh/hpaa102
  9. Choi DJ, Park JJ, Park SJ, et al. Self-Monitoring of blood pressure and Feed-back using APP In TReatment of UnconTrolled Hypertension (SMART-BP): a randomized clinical trial. Korean Circ J 2022;52:785-94. https://doi.org/10.4070/kcj.2022.0133
  10. Gerke S, Minssen T, Cohen G. Ethical and legal challenges of artificial intelligence-driven healthcare. In: Bohr A, Memarzadeh K, editors. Artificial Intelligence in Healthcare. Amsterdam: Elsevier; 2020. p. 295-336.