The Integration of Artificial Intelligence Into Patient Care: A Case of Atrial Fibrillation Caught by a Smartwatch

被引:4
|
作者
Bedi, Angad [1 ]
Masri, Mohammad Khaldoun Al [2 ]
Al Hennawi, Hussam [1 ]
Qadir, Shayan [1 ]
Ottman, Patrick [1 ]
机构
[1] Abington Jefferson Hosp, Internal Med, Abington, PA USA
[2] Alfaisal Univ, Coll Med, Riyadh, Saudi Arabia
关键词
holiday heart syndrome; arrythmias; palpitations; artificial intelligence in medicine; smart watch; atrial fibrillation;
D O I
10.7759/cureus.35941
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Artificial intelligence (AI) offers a wide range of applications in clinical practice, and new technologies are rapidly evolving the healthcare industry and enhancing outcomes. Smartwatches represent the most popular type of wearable AI device that can assist people in detecting cardiac arrhythmias via constant monitoring of heart activity. Numerous advantages result from integrating AI into healthcare systems, including improved patient care, lower rates of medical errors, better treatment recommendations, and more accurate diagnosis of diseases. However, doubts still remain regarding the adoption of AI into patient care due to the challenges it poses. In this paper, we report a case of atrial fibrillation (AF) in a young patient that was detected by his smartwatch. We also highlight some of the benefits and challenges of AI applications in healthcare.
引用
收藏
页数:4
相关论文
共 50 条
  • [1] Artificial intelligence and atrial fibrillation
    Sehrawat, Ojasav
    Kashou, Anthony H.
    Noseworthy, Peter A.
    [J]. JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY, 2022, 33 (08) : 1932 - 1943
  • [2] Artificial Intelligence in the Image-Guided Care of Atrial Fibrillation
    Lyu, Yiheng
    Bennamoun, Mohammed
    Sharif, Naeha
    Lip, Gregory Y. H.
    Dwivedi, Girish
    [J]. LIFE-BASEL, 2023, 13 (09):
  • [3] Screening for atrial fibrillation - what to do if the patient presents with atrial fibrillation on a smartwatch ECG?
    Sinner M.
    von Falkenhausen A.S.
    Steinbeck G.
    [J]. MMW - Fortschritte der Medizin, 2024, 166 (4) : 50 - 53
  • [4] Smartwatch diagnosis of atrial fibrillation in patient with embolic stroke of unknown source: A case report
    Patel, Divyang
    Tarakji, Khaldoun G.
    [J]. CARDIOVASCULAR DIGITAL HEALTH JOURNAL, 2021, 2 (01): : 84 - 87
  • [5] Artificial intelligence for early atrial fibrillation detection
    Fabritz, Larissa
    Obergassel, Julius
    [J]. LANCET, 2022, 400 (10359): : 1173 - 1175
  • [6] Artificial Intelligence for the Detection and Treatment of Atrial Fibrillation
    Harmon, David M.
    Sehrawat, Ojasav
    Maanja, Maren
    Wight, John
    Noseworthy, Peter A.
    [J]. ARRHYTHMIA & ELECTROPHYSIOLOGY REVIEW, 2023, 12
  • [7] New-onset atrial fibrillation in a young patient detected by smartwatch
    Samal, Subhankar
    Singhania, Namrata
    Bansal, Saurabh
    Sahoo, Anuradha
    [J]. CLINICAL CASE REPORTS, 2020, 8 (07): : 1331 - 1332
  • [8] The Use of Artificial Intelligence to Predict the Development of Atrial Fibrillation
    Daniel Pipilas
    Samuel Freesun Friedman
    Shaan Khurshid
    [J]. Current Cardiology Reports, 2023, 25 : 381 - 389
  • [9] The Use of Artificial Intelligence to Predict the Development of Atrial Fibrillation
    Pipilas, Daniel
    Friedman, Samuel Freesun
    Khurshid, Shaan
    [J]. CURRENT CARDIOLOGY REPORTS, 2023, 25 (05) : 381 - 389
  • [10] Artificial intelligence for a personalized diagnosis and treatment of atrial fibrillation
    Sanchez de la Nava, Ana Maria
    Atienza, Felipe
    Bermejo, Javier
    Fernandez-Aviles, Francisco
    [J]. AMERICAN JOURNAL OF PHYSIOLOGY-HEART AND CIRCULATORY PHYSIOLOGY, 2021, 320 (04): : H1337 - H1347