©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Jul 6, 2025; 13(19): 98095
Published online Jul 6, 2025. doi: 10.12998/wjcc.v13.i19.98095
Published online Jul 6, 2025. doi: 10.12998/wjcc.v13.i19.98095
Potential role of large language models and personalized medicine to innovate cardiac rehabilitation
Rishith Mishra, Hersh Patel, Som Singh, School of Medicine, University of Missouri Kansas City, Kansas City, MO 64106, United States
Aleena Jamal, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, United States
Author contributions: Mishra R administered the delegation of the report; Mishra R and Patel H wrote the initial draft; Jamal A provided a critical review and data collection of articles; Singh S designed the overall concept and outline of the manuscript.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
Corresponding author: Som Singh, MD, Academic Research, School of Medicine, University of Missouri Kansas City, 2411 Holmes Street, Kansas City, MO 64106, United States. somsingh@mail.umkc.edu
Received: June 18, 2024
Revised: November 20, 2024
Accepted: February 20, 2025
Published online: July 6, 2025
Processing time: 274 Days and 7.1 Hours
Revised: November 20, 2024
Accepted: February 20, 2025
Published online: July 6, 2025
Processing time: 274 Days and 7.1 Hours
Core Tip
Core Tip: Large language models may help innovate cardiac rehabilitation programs on a larger scale, but there is a large paucity in evidence to support its utility and evaluating the validity of these innovative proposals. Likewise, this new innovation may be able to assist in developing more personalized medicine for patients and clinical research.