| For: | Liu SW, Li P, Li XQ, Wang Q, Duan JY, Chen J, Li RH, Guo YF. Recent advances in machine learning for precision diagnosis and treatment of esophageal disorders. World J Gastroenterol 2025; 31(23): 105076 [PMID: 40575335 DOI: 10.3748/wjg.v31.i23.105076] |
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| URL: | https://www.wjgnet.com/2150-5330/full/v31/i23/105076.htm |
| Number | Citing Articles |
| 1 |
Diya Namira Purba, Rida Indah Fariani. Enhancing GERD Disease Prediction using Extra Tree Classifier Tuned by Komodo Mlipir Algorithm. International Journal of Advances in Data and Information Systems 2025; 6(3) doi: 10.59395/ijadis.v6i3.1428
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| 2 |
Agostino Fernicola, Domenico Parmeggiani, Felice Crocetto, Murtaja Satea Shafeea, Alessio Cece, Armando Calogero, Annunziata Gaetana Cicatiello, Giacomo Benassai, Gennaro Quarto, Michele Santangelo. Artificial intelligence applied to achalasia: an emerging frontier in precision motility care? State of the art and future prospects. Journal of Basic and Clinical Physiology and Pharmacology 2026; 37(3) doi: 10.1515/jbcpp-2025-0184
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| 3 |
Bryce Thomas, Dylan A. Goodin, Jefferson Baker, Hunter A. Miller, Sally Suliman, Hermann B. Frieboes. Non-invasive hair metabolome analysis reveals GERD and thyroid dysfunction in pulmonary fibrosis patients. Metabolism Open 2025; 28 doi: 10.1016/j.metop.2025.100404
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| 4 |
Xuan-yu Pan, Hui-ling Yang, Tao Du, Jiao-hua Wu, Feng-yan Qin, Bin Yu, Zi-yu Liang, Wei Luo. Clinical prediction of the mortality for acute kidney injury in decompensated cirrhosis. Scientific Reports 2026; 16(1) doi: 10.1038/s41598-026-43918-6
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