Exploring the potential of artificial intelligence in paediatric dentistry: A systematic review on deep learning algorithms for dental anomaly detection.

MLA

Hartman, Henri, et al. “Exploring the Potential of Artificial Intelligence in Paediatric Dentistry: A Systematic Review on Deep Learning Algorithms for Dental Anomaly Detection.” International Journal of Paediatric Dentistry, vol. 34, no. 5, Sept. 2024, pp. 639–52. EBSCOhost, https://doi.org/10.1111/ipd.13164.

APA

Hartman, H., Nurdin, D., Akbar, S., Cahyanto, A., & Setiawan, A. S. (2024). Exploring the potential of artificial intelligence in paediatric dentistry: A systematic review on deep learning algorithms for dental anomaly detection. International Journal of Paediatric Dentistry, 34(5), 639–652. https://doi.org/10.1111/ipd.13164

Chicago

Hartman, Henri, Denny Nurdin, Saiful Akbar, Arief Cahyanto, and Arlette Suzy Setiawan. 2024. “Exploring the Potential of Artificial Intelligence in Paediatric Dentistry: A Systematic Review on Deep Learning Algorithms for Dental Anomaly Detection.” International Journal of Paediatric Dentistry 34 (5): 639–52. doi:10.1111/ipd.13164.