iTHRIV Scholar Project: Improving speech outcomes for cleft and craniofacial conditions through applications of machine learning algorithms and patient-specific pre-operative assessment
Examining the use of machine learning and pre-operative assessments to improve speech outcomes for cleft and craniofacial conditions.
To learn more about this scholar's research including this project, view their iTHRIV Scholar video here: https://youtu.be/cT6PNTpgt1k.
To learn more about the iTHRIV Scholars program, click the related resource tile below.
| Keywords | cleft, machine learning |
| Storage Organization | University of Virginia |
| Partner Institution(s) | University of Virginia |
| Funding Source(s) | KL2TR003016 |
| Website | https://youtu.be/ct6pntpgt1k |
No datasets have been added for this project.