| 1 |
2024 |
Nour Mohamed, Tamer Rabie. Digital Imaging and Artificial Intelligence in Infantile Hemangioma: A Systematic Literature Review, Biomimetics. 2024; 9: 663.
https://doi.org/10.3390/biomimetics9110663 |
| 2 |
2024 |
Jianbo Shao, Yi Lu, Zhihan Yan, Xin Li. 2024; 203.
https://doi.org/10.1007/978-981-99-8441-1_14 |
| 3 |
2024 |
Amparo López-Carrasco, Karina Parra-Haro, Isaac Vieco-Martí, Sofía Granados-Aparici, Juan Díaz-Martín, Carmen Salguero-Aranda, Delia Acevedo-León, Enrique de Álava, Samuel Navarro, Rosa Noguera. Characterization of Vitronectin Effect in 3D Ewing Sarcoma Models: A Digital Microscopic Analysis of Two Cell Lines, Cancers. 2024; 16: 3347.
https://doi.org/10.3390/cancers16193347 |
| 4 |
2024 |
Fu-Sheng Chou, Neil Rowen, Joyce Javier, Ashwini Lakshmanan. Predicting childhood outcomes through standardizing disease definitions and promoting multicenter enrollment, Pediatric Research. 2024; 96: 1103.
https://doi.org/10.1038/s41390-024-03489-6 |
| 5 |
2024 |
Shuping Wen, Stefan Theobald, Pilar Gangas, Karina C. Borja Jiménez, Johannes H.M. Merks, Reineke A. Schoot, Marcel Meyerheim, Norbert Graf. A practical guide to apply AI in childhood cancer: Data collection and AI model implementation, EJC Paediatric Oncology. 2024; 4: 100197100197.
https://doi.org/10.1016/j.ejcped.2024.100197 |
| 6 |
2024 |
Kirk D. Wyatt, Natasha Alexander, Gerard D. Hills, Wayne H. Liang, Stephan Kadauke, Samuel L. Volchenboum, Amir Mian, Charles A. Phillips. Making sense of artificial intelligence and large language models—including ChatGPT—in pediatric hematology/oncology, Pediatric Blood & Cancer. 2024; 71: e31143.
https://doi.org/10.1002/pbc.31143 |
