Management of orofacial clefts in times of artificial intelligence: advances and challenges
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40368-024-00916-4.pdf
Reference8 articles.
1. Almoammar KA. Harnessing the power of artificial intelligence in cleft lip and palate: an in-depth analysis from diagnosis to treatment, a comprehensive review. Children (basel). 2024;11(2):140. https://doi.org/10.3390/children11020140.
2. Chaker SC, Hung YC, Saad M, Golinko MS, Galdyn IA. Easing the burden on caregivers—applications of artificial intelligence for physicians and caregivers of children with cleft lip and palate. Cleft Palate Craniofac J. 2024. https://doi.org/10.1177/10556656231223596.
3. Duran GS, Yurdakurban E, Topsakal KG. The quality of CLP-related information for patients provided by ChatGPT. Cleft Palate Craniofac J. 2023. https://doi.org/10.1177/10556656231222387.
4. Huqh MZU, Abdullah JY, Wong LS, Jamayet NB, Alam MK, Rashid QF, Husein A, Ahmad WMAW, Eusufzai SZ, Prasadh S, Subramaniyan V, Fuloria NK, Fuloria S, Sekar M, Selvaraj S. Clinical applications of artificial intelligence and machine learning in children with cleft lip and palate—a systematic review. Int J Environ Res Public Health. 2022;19(17):10860. https://doi.org/10.3390/ijerph191710860.
5. Kang G, Baek SH, Kim YH, Kim DH, Park JW. Genetic risk assessment of nonsyndromic cleft lip with or without cleft palate by linking genetic networks and deep learning models. Int J Mol Sci. 2023;24(5):4557. https://doi.org/10.3390/ijms24054557.
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