Comparing ChatGPT and Bing, in response to the Home Blood Pressure Monitoring (HBPM) knowledge checklist

WHO. Hypertension 2023. Available from: https://www.who.int/health-topics/hypertension#tab=tab_1.

Lawes CM, Vander Hoorn S, Rodgers A, International Society of H. Global burden of blood-pressure-related disease, 2001. Lancet. 2008;371:1513–8.

Article  Google Scholar 

Pan J, Lei T, Hu B, Li Q. Post-discharge evaluation of medication adherence and knowledge of hypertension among hypertensive stroke patients in northwestern China. Patient Prefer Adherence. 2017;11:1915–22.

Article  Google Scholar 

Akoko BM, Fon PN, Ngu RC, Ngu KB. Knowledge of hypertension and compliance with therapy among hypertensive patients in the Bamenda Health District of Cameroon: a cross-sectional study. Cardiol Ther. 2017;6:53–67.

Article  Google Scholar 

Abegaz TM, Shehab A, Gebreyohannes EA, Bhagavathula AS, Elnour AA. Nonadherence to antihypertensive drugs: a systematic review and meta-analysis. Medicine. 2017;96:e5641.

Article  Google Scholar 

Sharma S, Bhuvan K, Alrasheedy AA, Kaundinnyayana A, Khanal A. Impact of community pharmacy-based educational intervention on patients with hypertension in Western Nepal. Australas Med J. 2014;7:304–13.

Article  Google Scholar 

Almas A, Godil SS, Lalani S, Samani ZA, Khan AH. Good knowledge about hypertension is linked to better control of hypertension; a multicentre cross sectional study in Karachi, Pakistan. BMC Res Notes. 2012;5:1–8.

Article  Google Scholar 

Whelton PK, Carey RM, Aronow WS. ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, Detection, evaluation, and management of high blood pressure in adults: a Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol. 2018;7:68–74.

Google Scholar 

McCormack T, Krause T, O’Flynn N. Management of hypertension in adults in primary care: NICE guideline. Br J Gen Pr. 2012;62:163–4.

Article  Google Scholar 

Glynn LG, Murphy AW, Smith SM, Schroeder K, Fahey T. Self-monitoring and other non-pharmacological interventions to improve the management of hypertension in primary care: a systematic review. Br J Gen Pr. 2010;60:e476–88.

Article  Google Scholar 

Tucker KL, Sheppard JP, Stevens R, Bosworth HB, Bove A, Bray EP, et al. Self-monitoring of blood pressure in hypertension: a systematic review and individual patient data meta-analysis. PLoS Med. 2017;14:e1002389.

Article  Google Scholar 

Fu SN, Dao MC, Wong CKH, Cheung BMY. The association of health literacy with high-quality home blood pressure monitoring for hypertensive patients in outpatient settings. Int J Hypertens. 2020;2020:7502468–15.

Article  Google Scholar 

Van Dis EA, Bollen J, Zuidema W, van Rooij R, Bockting CL. ChatGPT: five priorities for research. Nature. 2023;614:224–6.

Article  ADS  Google Scholar 

Bohr A, Memarzadeh K. The rise of artificial intelligence in healthcare applications. In: Bohr A, Memarzadeh K, editors. Artificial Intelligence in Healthcare. 2020;25–60. https://doi.org/10.1016/b978-0-12-818438-7.00002-2.

Wen Z, Huang H. The potential for artificial intelligence in healthcare. J Commerc Biotechnol. 2022;27.

Tan P, Xi Y, Chao S, Jiang D, Liu Z, Fan Y, et al. An artificial intelligence-enhanced blood pressure monitor wristband based on piezoelectric nanogenerator. Biosens. 2022;12:234.

Article  CAS  Google Scholar 

Hare AJ, Chokshi N, Adusumalli S. Novel digital technologies for blood pressure monitoring and hypertension management. Curr Cardiovasc Risk Rep. 2021;15:11.

Article  Google Scholar 

Yeo YH, Samaan JS, Ng WH, Ting PS, Trivedi H, Vipani A, et al. Assessing the performance of ChatGPT in answering questions regarding cirrhosis and hepatocellular carcinoma. Clin Mol Hepatol. 2023;29:721–32.

Article  Google Scholar 

Graham F. Daily briefing: Will ChatGPT kill the essay assignment?. Nature. 2022.https://doi.org/10.1038/d41586-022-04437-2.

O’Connor S. Open artificial intelligence platforms in nursing education: Tools for academic progress or abuse? Nurse Educ Pr. 2023;66:103537.

Article  Google Scholar 

Lopezosa C. Bing chat: hacia una nueva forma de entender las búsquedas. Anuario ThinkEPI. 2023;17.

Alberts IL, Mercolli L, Pyka T, Prenosil G, Shi K, Rominger A, et al. Large language models (LLM) and ChatGPT: what will the impact on nuclear medicine be? Eur J Nucl Med Mol imaging. 2023;50:1549–52.

Article  Google Scholar 

Bing Chat Details. 2023. https://www.bing.com/new.

Fu SN, Dao MC, Wong CK, Cheung BM. Knowledge and practice of home blood pressure monitoring 6 months after the risk and assessment management programme: does health literacy matter? Postgrad Med J. 2022;98:610–6.

Article  Google Scholar 

Samaan JS, Yeo YH, Rajeev N, Hawley L, Abel S, Ng WH, et al. Assessing the accuracy of responses by the language model ChatGPT to questions regarding bariatric surgery. Obes Surg. 2023;33:1–7.

Google Scholar 

Rahsepar AA, Tavakoli N, Kim GHJ, Hassani C, Abtin F, Bedayat A. How AI responds to common lung cancer questions: ChatGPT vs Google Bard. Radiology. 2023;307:e230922.

Article  Google Scholar 

Butte AJ. Artificial intelligence-from starting pilots to scalable privilege. JAMA Oncol. 2023;9:1341–2.

Article  Google Scholar 

Cai LZ, Shaheen A, Jin A, Fukui R, Yi JS, Yannuzzi N, et al. Performance of generative large language models on ophthalmology board-style questions. Am J Ophthalmol. 2023;254:141–9.

Article  Google Scholar 

Kumari A, Kumari A, Singh A, Singh SK, Juhi A, Dhanvijay AKD, et al. Large language models in hematology case solving: a comparative study of ChatGPT-3.5, Google Bard, and Microsoft Bing. Cureus. 2023;15:e43861.

Google Scholar 

Pham BD, Kim BG, Nguyen TTH, Hoang VM. Exposure to messages on risk factors for noncommunicable diseases in a rural province of Vietnam. Biomed Res Int. 30;2019:7962947.

Lee YJ, Boden-Albala B, Jia H, Wilcox A, Bakken S. The association between online health information–seeking behaviors and health behaviors among Hispanics in New York City: a community-based cross-sectional study. J Med Internet Res. 2015;17:e261.

Article  Google Scholar 

Ng JY, Jomy J, Vacca A. Evaluation of the quality of online patient information at the intersection of complementary and alternative medicine and hypertension. Clin Hypertens. 2022;28:9.

Article  Google Scholar 

Tahir M, Usman M, Muhammad F, Rehman SU, Khan I, Idrees M, et al. Evaluation of quality and readability of online health information on high blood pressure using DISCERN and Flesch-Kincaid tools. Appl Sci. 2020;10:3214.

Article  CAS  Google Scholar 

Oloidi A, Nduaguba SO, Obamiro K. Assessment of quality and readability of internet-based health information related to commonly prescribed angiotensin receptor blockers. Pan Afr Med J. 2020;35:70.

Article  Google Scholar 

Van Bulck L, Moons P. What if your patient switches from Dr. Google to Dr. ChatGPT? A vignette-based survey of the trustworthiness, value, and danger of ChatGPT-generated responses to health questions. Eur J Cardiovasc Nurs. 2023.

留言 (0)

沒有登入
gif