Deep learning and explainable artificial intelligence for investigating dental professionals' satisfaction with CAD software performance.
Hang-Nga MaiThaw Thaw WinHyeong-Seob KimAhran PaeWael AttDang Dinh NguyenDu-Hyeong LeePublished in: Journal of prosthodontics : official journal of the American College of Prosthodontists (2024)
This study sheds light on the factors influencing dental professionals' decisions in using and selecting CAD software. This approach can serve as a proof-of-concept for applying DL-XAI-based behavioral analysis in dentistry and medicine, facilitating informed software selection and development.