Assessing the Accuracy of an Online Chat-Based Artificial Intelligence Model in Providing Recommendations on Hypertension Management in Accordance With the 2017 American College of Cardiology/American Heart Association and 2018 European Society of Cardiology/European Society of Hypertension Guidelines

HomeHypertensionAhead of PrintAssessing the Accuracy of an Online Chat-Based Artificial Intelligence Model in Providing Recommendations on Hypertension Management in Accordance With the 2017 American College of Cardiology/American Heart Association and 2018 ESC/European Society of Hypertension Guidelines No AccessResearch ArticleRequest AccessAboutView PDFSections ToolsAdd to favoritesDownload citationsTrack citationsPermissions ShareShare onFacebookTwitterLinked InMendeleyReddit Jump toNo AccessResearch ArticleRequest AccessAssessing the Accuracy of an Online Chat-Based Artificial Intelligence Model in Providing Recommendations on Hypertension Management in Accordance With the 2017 American College of Cardiology/American Heart Association and 2018 ESC/European Society of Hypertension Guidelines Joseph Kassab, Joseph El Dahdah, Michel Chedid El Helou, Habib Layoun, Ashish Sarraju, Luke Laffin, Leslie Cho, Samir R. Kapadia, Patrick Collier and Serge C. Harb Joseph KassabJoseph Kassab https://orcid.org/0000-0001-6761-7636 Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic Foundation, OH. Search for more papers by this author , Joseph El DahdahJoseph El Dahdah https://orcid.org/0000-0002-8480-3745 Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic Foundation, OH. *J. El Dahdah and M.C. El Helou contributed equally. Search for more papers by this author , Michel Chedid El HelouMichel Chedid El Helou https://orcid.org/0000-0002-8587-2881 Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic Foundation, OH. *J. El Dahdah and M.C. El Helou contributed equally. Search for more papers by this author , Habib LayounHabib Layoun Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic Foundation, OH. Search for more papers by this author , Ashish SarrajuAshish Sarraju https://orcid.org/0000-0003-1649-2110 Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic Foundation, OH. Search for more papers by this author , Luke LaffinLuke Laffin https://orcid.org/0000-0002-3262-792X Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic Foundation, OH. Search for more papers by this author , Leslie ChoLeslie Cho https://orcid.org/0000-0002-1190-1774 Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic Foundation, OH. Search for more papers by this author , Samir R. KapadiaSamir R. Kapadia https://orcid.org/0000-0002-0026-3391 Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic Foundation, OH. Search for more papers by this author , Patrick CollierPatrick Collier https://orcid.org/0000-0003-3941-9653 Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic Foundation, OH. Search for more papers by this author and Serge C. HarbSerge C. Harb Correspondence to: Serge C. Harb, Department of Cardiovascular Medicine, Cleveland Clinic Foundation, 9500 Euclid Ave, J2-3, Cleveland, OH 44195. Email E-mail Address: [email protected] https://orcid.org/0000-0002-7442-4928 Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic Foundation, OH. Search for more papers by this author Originally published16 May 2023Hypertension. 2023;0Footnotes*J. El Dahdah and M.C. El Helou contributed equally.For Sources of Funding and Disclosures, see page XXX.Correspondence to: Serge C. Harb, Department of Cardiovascular Medicine, Cleveland Clinic Foundation, 9500 Euclid Ave, J2-3, Cleveland, OH 44195. Email [email protected]org Previous Back to top Next FiguresReferencesRelatedDetails Advertisement Article InformationMetrics © 2023 American Heart Association, Inc.PMID: 37190998 Originally publishedMay 16, 2023 Keywordsartificial intelligencephysicianpatienttreatmenthypertensionPDF download Advertisement SubjectsHigh Blood PressureHypertension