Richard E. Donatelli

Does artificial intelligence predict orthognathic surgical outcomes better than conventional linear regression methods?

Journal: The Angle orthodontist

Published: November 01, 2023

Orthodontic treatment outcome predictive performance differences between artificial intelligence and conventional methods.

Journal: The Angle orthodontist

Published: November 01, 2023

Comparison of individualized facial growth prediction models based on the partial least squares and artificial intelligence.

Journal: The Angle orthodontist

Published: March 01, 2023

Evaluation of an individualized facial growth prediction model based on the multivariate partial least squares method.

Journal: The Angle orthodontist

Published: November 01, 2021

Assessment of reliability in orthodontic literature.

Journal: The Angle orthodontist

Published: August 01, 2021

Journal: American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics

Published: July 14, 2021

Evaluation of an automated superimposition method based on multiple landmarks for growing patients.

Journal: The Angle orthodontist

Published: January 01, 2021

How much deep learning is enough for automatic identification to be reliable?

Journal: The Angle orthodontist

Published: February 01, 2020

Evaluation of automated cephalometric analysis based on the latest deep learning method.

Journal: The Angle orthodontist

Published: February 01, 2020

Automated identification of cephalometric landmarks: Part 2-Might it be better than human?

Journal: The Angle orthodontist

Published: July 24, 2019

Automated identification of cephalometric landmarks: Part 1-Comparisons between the latest deep-learning methods YOLOV3 and SSD.

Journal: The Angle orthodontist

Published: July 09, 2019

Predicting soft tissue changes after orthognathic surgery: The sparse partial least squares method.

Journal: The Angle orthodontist

Published: May 31, 2019

Does artificial intelligence predict orthognathic surgical outcomes better than conventional linear regression methods?

Does artificial intelligence predict orthognathic surgical outcomes better than conventional linear regression methods?

Orthodontic treatment outcome predictive performance differences between artificial intelligence and conventional methods.

Orthodontic treatment outcome predictive performance differences between artificial intelligence and conventional methods.

Comparison of individualized facial growth prediction models based on the partial least squares and artificial intelligence.

Comparison of individualized facial growth prediction models based on the partial least squares and artificial intelligence.

Evaluation of an individualized facial growth prediction model based on the multivariate partial least squares method.

Evaluation of an individualized facial growth prediction model based on the multivariate partial least squares method.

Assessment of reliability in orthodontic literature.

Assessment of reliability in orthodontic literature.

Time series analysis.

Time series analysis.

Evaluation of an automated superimposition method based on multiple landmarks for growing patients.

Evaluation of an automated superimposition method based on multiple landmarks for growing patients.

How much deep learning is enough for automatic identification to be reliable?

How much deep learning is enough for automatic identification to be reliable?

Evaluation of automated cephalometric analysis based on the latest deep learning method.

Evaluation of automated cephalometric analysis based on the latest deep learning method.

Automated identification of cephalometric landmarks: Part 2-Might it be better than human?

Automated identification of cephalometric landmarks: Part 2-Might it be better than human?

Automated identification of cephalometric landmarks: Part 1-Comparisons between the latest deep-learning methods YOLOV3 and SSD.

Automated identification of cephalometric landmarks: Part 1-Comparisons between the latest deep-learning methods YOLOV3 and SSD.

Predicting soft tissue changes after orthognathic surgery: The sparse partial least squares method.

Predicting soft tissue changes after orthognathic surgery: The sparse partial least squares method.