AI and Conventional Techniques used for Drugs and Orthodontic Tooth Movement

Mustafa Waleed  Ameen; Mustafa M.  Al-Khatieeb

doi:10.36371/port.2024.3.4

Authors

Mustafa Waleed Ameen College of Dentistry, University of Baghdad, Baghdad, Iraq.
Mustafa M. Al-Khatieeb College of Dentistry, University of Baghdad, Baghdad, Iraq.

Abstract References Downloads Cite Statistics Share Information

Artificial Intelligence (AI) is emerging as a transformative force in both drug development and orthodontics. This paper provides an overview of key AI techniques employed in these fields. In drug development, AI is accelerating discovery, development, and delivery through generative models, predictive modeling, image analysis, and natural language processing. Orthodontics benefits from AI through image analysis, treatment planning, and patient experience enhancement. Common AI techniques in both domains include machine learning, deep learning, natural language processing, and computer vision. By leveraging these technologies, researchers and clinicians can achieve significant advancements in drug discovery, treatment efficacy, and patient care.

Keywords:

Drugs, Orthodontic, Tooth Movement, AI, Wavelet Transform

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[93] Walid Amin Mahmoud, Raghad Aladdin Jassim “Image Denoising Using Hybrid Transforms” Engineering and Technology Journal, Vol. 25, Issue 5, PP. 669-682, 2007.

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[100] Waleed A Mahmoud, Dheyaa J Kadhim “A Proposal Algorithm to Solve Delay Constraint Least Cost Optimization Problem” Journal of Engineering, Vol. 19, Iss 1, PP 155-160, 2013.

[101] Adnan HM Al-Helali, Hamza A Ali, Buthainah Al-Dulaimi, Dhia Alzubaydi, Walid A Mahmoud “Slantlet transform for multispectral image fusion” Journal of Computer Science, Vol.5, Issue 4, PP. 263-267, 2009.

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Ameen, M. W. ., & Al-Khatieeb, M. M. . (2024). AI and Conventional Techniques used for Drugs and Orthodontic Tooth Movement. Journal Port Science Research, 7(3), 237–253. https://doi.org/10.36371/port.2024.3.4