Forced-eruption time for palatally impacted canines treated with and without ostectomy-decortication technique
Orthodontist · Lecturer · PhD researcher
Measuring the smile — in motion, in context, with evidence.
I am Dr. Dalal Abdulmohsen AlRossais, a Saudi orthodontist and Lecturer at the University of Sharjah College of Dentistry. My doctoral research develops an interpretable, AI-assisted index for smile esthetics.
University of SharjahLecturer, College of Dentistry
Malmö UniversityMaster’s in Orthodontics
Since 2008In dentistry
About
Orthodontist, educator and researcher
I specialize in Orthodontics and Dentofacial Orthopedics and teach in the Department of Orthodontics, Pediatric and Community Dentistry at the University of Sharjah. My path has combined clinical orthodontic practice in Riyadh with university teaching in Dubai and Sharjah.
My doctoral work in Dental Sciences, supervised by Prof. Ahmad Hamdan and co-supervised by Prof. Zahi Badran, asks a focused question: does measuring how a smile moves — not just how it looks in a single photograph — help predict how orthodontists, dentists and the public perceive it?
Education
PhD in Dental SciencesUniversity of Sharjah · in progress
Master’s in Orthodontics and Dentofacial OrthopedicsEuropean University College / Malmö University, Sweden · 2012–2016 · honorary distinction
Bachelor of Dental SurgeryCollege of Dentistry, Riyadh · 2003–2008 · with distinction
Experience
Lecturer, University of SharjahOrthodontics instructor since 2021
Orthodontics InstructorEuropean University College, Dubai · 2019–2021
Orthodontic practiceKental Dentistry Center, Riyadh · 2016–2019
Licensing and memberships
Saudi Commission for Health Specialties · 2016Dubai Healthcare City Authority · 2020Sharjah Ministry of Health · 2022
Saudi Orthodontic SocietyEmirates Orthodontics Society
Doctoral research
The AI-Assisted Comprehensive Smile Esthetic Index (AI-SEI)
Twelve prespecified measurements from a standardized frontal photograph and a 10-second posed-smile video, combined into an interpretable model and tested against independent ratings.
5
Clinical
Smile arc, buccal corridor, gingival display, dental midline, gingival zenith symmetry.
3
Facial
Eye-line angle, lower-face proportion, commissure height symmetry.
4
Temporal
Commissure excursion, onset-to-peak time, left/right onset lag, change in tooth display.
Study pathway
- Step 1Expert Delphi panel12 experts, two rounds
- Step 2Feasibility pilot30 participants
- Step 3Model developmentAbout 300 participants
- Step 4Independent validationAbout 150 new participants
Status: proposal stage. Data collection begins only after research-ethics and site approvals. No results are reported yet.
Mabsam
The research platform behind the AI-SEI
Mabsam turns a standardized photograph and a short smile video into a transparent set of measurements — each one labelled as automated, manual-assisted or not measurable.
- 1Upload — frontal rest and peak-smile photographs plus a 10-second posed-smile video.
- 2Analyze — facial landmarks and head stabilization run in the browser; dental points are marked by the examiner.
- 3Review — a participant report of all twelve measurements, with quality flags and exports.
mabsam
مَبسَم
Dynamic smile analytics for the AI-SEI research programme.
- 12 measurements
- Photo + video
- English · العربية
Publications
Selected work
Salivary inflammatory biomarkers and complications of orthodontic treatment
Get in touch
For research collaboration, expert-panel participation or questions about Mabsam.
- Phone
- +971 6 505 7364
- Department
- Department of Orthodontics, Pediatric and Community Dentistry, College of Dentistry, University of Sharjah, UAE