| For: | Hegazy MAE. Artificial intelligence in metabolic dysfunction-associated steatotic liver disease: Machine learning for non-invasive diagnosis and risk stratification. World J Hepatol 2025; 17(11): 111354 [PMID: 41368121 DOI: 10.4254/wjh.v17.i11.111354] |
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| URL: | https://www.wjgnet.com/1948-5182/full/v17/i11/111354.htm |
| Number | Citing Articles |
| 1 |
Shunqin Jin, Tao Zhou, Dachuan Jin, Jiahao Xie, Guoping Sheng, Hongzhi Li, Guangming Li, Chuan Qin, Peng Gao. Imaging-based fibrosis assessment and risk stratification in MASLD. Frontiers in Medicine 2026; 13 doi: 10.3389/fmed.2026.1880238
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| 2 |
Zhuoxuan Zhan, Hong Sheng Cheng, Ian Yang Liew, Hwee Pin Phua, Angela Li Ping Chow, Eng Sing Lee, Kuo Chao Yew, Xiuyi Fan. Artificial Intelligence in Medicine. Lecture Notes in Computer Science 2027; 16748 doi: 10.1007/978-3-032-30710-1_29
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| 3 |
Narendra Kumar. Pharmacology through the lens of bibliometrics: global trends, research hotspots, and collaborations (2015–2026). Naunyn-Schmiedeberg's Archives of Pharmacology 2026; doi: 10.1007/s00210-026-05470-y
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| 4 |
Sajjad Ahmed Khan, Hareesha Rishab Bharadwaj, Ashish Sharma, Arkadeep Dhali, Murali Mohan Rama Krishna Reddy, Samarth Ram Raghavendra, Hassam Ali, Dushyant Singh Dahiya. Artificial Intelligence in Surveillance of Hepatocellular Carcinoma: Hype or Reality?. Journal of Gastroenterology and Hepatology 2026; doi: 10.1111/jgh.70536
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| 5 |
Ming Yang, Chun-Ye Zhang. Emerging treatment options for metabolic dysfunction-associated steatotic liver disease and its related liver diseases. World Journal of Hepatology 2026; 18(6): 120178 doi: 10.4254/wjh.120178
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