An Update on the Use of Artificial Intelligence in Cardiovascular Medicine-Reference-Cited by-同舟云学术

An Update on the Use of Artificial Intelligence in Cardiovascular Medicine

Published:2024-02-09 Issue:1 Volume:5 Page:91-104
ISSN:2673-3846
Container-title:Hearts
language:en
Short-container-title:Hearts

Author:

Rao Shiavax J.¹^ORCID,Iqbal Shaikh B.¹,Isath Ameesh²,Virk Hafeez Ul Hassan³,Wang Zhen⁴⁵,Glicksberg Benjamin S.⁶^ORCID,Krittanawong Chayakrit⁷

Affiliation:

1. Department of Medicine, MedStar Union Memorial Hospital, Baltimore, MD 21218, USA

2. Department of Cardiology, Westchester Medical Centre, New York Medical College, Valhalla, NY 10595, USA

3. Harrington Heart & Vascular Institute, Case Western Reserve University, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA

4. Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN 55905, USA

5. Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA

6. The Hasso Plattner Institute for Digital Health at the Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA

7. Cardiology Division, NYU Langone Health and NYU School of Medicine, New York, NY 10016, USA

Abstract

Artificial intelligence, specifically advanced language models such as ChatGPT, have the potential to revolutionize various aspects of healthcare, medical education, and research. In this review, we evaluate the myriad applications of artificial intelligence in diverse healthcare domains. We discuss its potential role in clinical decision-making, exploring how it can assist physicians by providing rapid, data-driven insights for diagnosis and treatment. We review the benefits of artificial intelligence such as ChatGPT in personalized patient care, particularly in geriatric care, medication management, weight loss and nutrition, and physical activity guidance. We further delve into its potential to enhance medical research, through the analysis of large datasets, and the development of novel methodologies. In the realm of medical education, we investigate the utility of artificial intelligence as an information retrieval tool and personalized learning resource for medical students and professionals.

Publisher

MDPI AG

Link

https://www.mdpi.com/2673-3846/5/1/7/pdf

Reference88 articles.

1. Sallam, M. (2023). ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns. Healthcare, 11.

2. Human- versus Artificial Intelligence;Korteling;Front. Artif. Intell.,2021

3. AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems;Sarker;SN Comput. Sci.,2022

4. OpenAI (2023, May 09). OpenAI: Models GPT-3. Available online: https://beta.openai.com/docs/models.

5. Brown, T.B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., and Askell, A. (2020). Language Models are Few-Shot Learners. arXiv.