Literature DB >> 35175849

Cardiovascular Disease Screening in Women: Leveraging Artificial Intelligence and Digital Tools.

Demilade A Adedinsewo1, Amy W Pollak1, Sabrina D Phillips1, Taryn L Smith2, Anna Svatikova3, Sharonne N Hayes4, Sharon L Mulvagh4,5, Colleen Norris6, Veronique L Roger4,7,8, Peter A Noseworthy4, Xiaoxi Yao9, Rickey E Carter10.   

Abstract

Cardiovascular disease remains the leading cause of death in women. Given accumulating evidence on sex- and gender-based differences in cardiovascular disease development and outcomes, the need for more effective approaches to screening for risk factors and phenotypes in women is ever urgent. Public health surveillance and health care delivery systems now continuously generate massive amounts of data that could be leveraged to enable both screening of cardiovascular risk and implementation of tailored preventive interventions across a woman's life span. However, health care providers, clinical guidelines committees, and health policy experts are not yet sufficiently equipped to optimize the collection of data on women, use or interpret these data, or develop approaches to targeting interventions. Therefore, we provide a broad overview of the key opportunities for cardiovascular screening in women while highlighting the potential applications of artificial intelligence along with digital technologies and tools.

Entities:  

Keywords:  artificial intelligence; cardiovascular diseases; deep learning; female; humans; sex; women's health

Mesh:

Year:  2022        PMID: 35175849      PMCID: PMC8889564          DOI: 10.1161/CIRCRESAHA.121.319876

Source DB:  PubMed          Journal:  Circ Res        ISSN: 0009-7330            Impact factor:   23.213


  126 in total

1.  Impact of Lipid Measurements in Youth in Addition to Conventional Clinic-Based Risk Factors on Predicting Preclinical Atherosclerosis in Adulthood: International Childhood Cardiovascular Cohort Consortium.

Authors:  Juha Koskinen; Markus Juonala; Terence Dwyer; Alison Venn; Russell Thomson; Lydia Bazzano; Gerald S Berenson; Matthew A Sabin; Trudy L Burns; Jorma S A Viikari; Jessica G Woo; Elaine M Urbina; Ronald Prineas; Nina Hutri-Kähönen; Alan Sinaiko; David Jacobs; Julia Steinberger; Stephen Daniels; Olli T Raitakari; Costan G Magnussen
Journal:  Circulation       Date:  2017-11-23       Impact factor: 29.690

Review 2.  Artificial Intelligence in Cardiology: Present and Future.

Authors:  Francisco Lopez-Jimenez; Zachi Attia; Adelaide M Arruda-Olson; Rickey Carter; Panithaya Chareonthaitawee; Hayan Jouni; Suraj Kapa; Amir Lerman; Christina Luong; Jose R Medina-Inojosa; Peter A Noseworthy; Patricia A Pellikka; Margaret M Redfield; Veronique L Roger; Gurpreet S Sandhu; Conor Senecal; Paul A Friedman
Journal:  Mayo Clin Proc       Date:  2020-05       Impact factor: 7.616

3.  Sex Differences in High-Intensity Statin Use Following Myocardial Infarction in the United States.

Authors:  Sanne A E Peters; Lisandro D Colantonio; Hong Zhao; Vera Bittner; Yuling Dai; Michael E Farkouh; Keri L Monda; Monika M Safford; Paul Muntner; Mark Woodward
Journal:  J Am Coll Cardiol       Date:  2018-04-24       Impact factor: 24.094

4.  National study of physician awareness and adherence to cardiovascular disease prevention guidelines.

Authors:  Lori Mosca; Allison H Linfante; Emelia J Benjamin; Kathy Berra; Sharonne N Hayes; Brian W Walsh; Rosalind P Fabunmi; Johnny Kwan; Thomas Mills; Susan Lee Simpson
Journal:  Circulation       Date:  2005-02-01       Impact factor: 29.690

5.  Cascade Screening for Familial Hypercholesterolemia and the Use of Genetic Testing.

Authors:  Joshua W Knowles; Daniel J Rader; Muin J Khoury
Journal:  JAMA       Date:  2017-07-25       Impact factor: 56.272

6.  Cardiovascular/stroke risk predictive calculators: a comparison between statistical and machine learning models.

Authors:  Ankush Jamthikar; Deep Gupta; Luca Saba; Narendra N Khanna; Tadashi Araki; Klaudija Viskovic; Sophie Mavrogeni; John R Laird; Gyan Pareek; Martin Miner; Petros P Sfikakis; Athanasios Protogerou; Vijay Viswanathan; Aditya Sharma; Andrew Nicolaides; George D Kitas; Jasjit S Suri
Journal:  Cardiovasc Diagn Ther       Date:  2020-08

7.  The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database.

Authors:  Stan Benjamens; Pranavsingh Dhunnoo; Bertalan Meskó
Journal:  NPJ Digit Med       Date:  2020-09-11

Review 8.  Pregnancy and the Postpartum Period as an Opportunity for Cardiovascular Risk Identification and Management.

Authors:  Graeme N Smith; Judette Marie Louis; George R Saade
Journal:  Obstet Gynecol       Date:  2019-10       Impact factor: 7.661

9.  Sex Differences in Symptom Presentation in Acute Coronary Syndromes: A Systematic Review and Meta-analysis.

Authors:  Roos E M van Oosterhout; Annemarijn R de Boer; Angela H E M Maas; Frans H Rutten; Michiel L Bots; Sanne A E Peters
Journal:  J Am Heart Assoc       Date:  2020-05-04       Impact factor: 5.501

10.  Artificial Intelligence-Enhanced Electrocardiogram for the Early Detection of Cardiac Amyloidosis.

Authors:  Martha Grogan; Francisco Lopez-Jimenez; Michal Cohen-Shelly; Angela Dispenzieri; Zachi I Attia; Omar F Abou Ezzedine; Grace Lin; Suraj Kapa; Daniel D Borgeson; Paul A Friedman; Dennis H Murphree
Journal:  Mayo Clin Proc       Date:  2021-07-02       Impact factor: 7.616

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  3 in total

1.  A Scientific Imperative as Seen Through a Sharpened Lens: Sex, Gender, and the Cardiovascular Condition.

Authors:  Natalie A Bello; C Noel Bairey Merz; Susan Cheng
Journal:  Circ Res       Date:  2022-02-17       Impact factor: 17.367

2.  Contextualising sex and gender research to improve women's health: An early- and mid-career researcher perspective.

Authors:  Laura Hallam; Briar L McKenzie; Jessica Gong; Cheryl Carcel; Carinna Hockham
Journal:  Front Glob Womens Health       Date:  2022-07-19

3.  The Use of Digital Health Tools for Health Promotion Among Women With and Without Chronic Diseases: Insights From the 2017-2020 Health Information National Trends Survey.

Authors:  Kobi V Ajayi; Elizabeth Wachira; Henry K Onyeaka; Tyra Montour; Samson Olowolaju; Whitney Garney
Journal:  JMIR Mhealth Uhealth       Date:  2022-08-19       Impact factor: 4.947

  3 in total

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