| For: | Niyogi SG, Nag DS, Shah MM, Swain A, Naskar C, Srivastava P, Kant R. Role of artificial intelligence in congenital heart disease. World J Clin Pediatr 2025; 14(3): 105926 [PMID: 40881074 DOI: 10.5409/wjcp.v14.i3.105926] |
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| URL: | https://www.wjgnet.com/2219-2808/full/v14/i3/105926.htm |
| Number | Citing Articles |
| 1 |
Shih-Shuan Fang, Sheng-Han Chen. Wearable AI for continuous pediatric patient monitoring: a systematic review and meta-analysis. Egyptian Pediatric Association Gazette 2026; 74(1) doi: 10.1186/s43054-026-00574-9
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| 2 |
Elnur Karimov, İnci Zaim Gökbay. Enhancing Pediatric Congenital Heart Disease Outcomes: The Role of Machine Learning Models and AI-Driven Methodologies. Cam and Sakura Medical Journal 2025; doi: 10.4274/csmedj.galenos.2025.2025-7-1
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| 3 |
Natasha Bocchetta, Igor E. Konstantinov, Erbol Aldabergenov, Lisa K. Hornberger, Bakhytzhan Nurkeyev, Elmira A. Kuandykova, Nathaniel W. Taggart, Surat A. Inagamov, Sergei I. Konstantinov, Alisher M. Tashbayev, Muhammad Y. Qureshi, Bistra Zheleva, Yernar Myrzakulov, Hamood N.H. Al Kindi, Joseph Dearani, Hilal Al Sabti, Abay K. Baigenzhin. From high-risk fetal heart disease to personalized lifelong management: Equity, globalization, and regionalization in the era of artificial intelligence. The Journal of Thoracic and Cardiovascular Surgery 2026; doi: 10.1016/j.jtcvs.2026.06.012
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