01
Deep learning
AI-assisted CBCT detection.
Deep-learning detection of cystic lesions on CBCT, including a CNN/ResNet-50 model for dentigerous cysts, and research into AI detection of oral malignancy.
Oral & Maxillofacial Radiologist · Dubai
Reading the volume, not just the slice.
Dr. Shraddha Supnekar is an oral and maxillofacial radiologist. She has spent seven years reporting CBCT and maxillofacial imaging at clinical volume, teaching radiographic interpretation to undergraduate and postgraduate dentists, and applying deep-learning and volumetric methods to CBCT research.
CBCT · Volume 3D
Plane —
DHA Specialist Eligibility · Dental Radiology
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MDS · Oral Medicine & Radiology · MUHS
§ 01 · Credentials
Specialist eligibility
7+ years post-MDS
A specialist track through reporting, teaching, and applied research.
- 7+
- Years post-MDS
- 15
- Peer-reviewed papers
- 7
- PG residents co-guided as PG in-charge
- 60–70
- CBCT studies a month, 2026
- Degree MDS, Oral Medicine & Radiology (2018) — University Topper and Bronze Medallist, MUHS
- Eligibility DHA Specialist Eligibility, Dental Radiology (Dubai Health Authority)
- Registration Maharashtra State Dental Council, A-26447 · Member, IAOMR Maharashtra branch
- Clinical Consultant Maxillofacial Radiologist (CBCT), 3rd I Maxillofacial Imaging Centre, Pune, India, since 2018. CBCT reporting for Dentascan Diagnostic Centre, Ravet (since July 2026), and 3 Dimensions Imaging Centre, Beed. All reporting is for centres in India, across surgical, orthodontic, endodontic and periodontal referrals.
- Academic Senior Lecturer (2019–2024), then Reader and PG in-charge (2024–2025), Oral Medicine & Radiology, M.A. Rangoonwala College of Dental Sciences & Research Centre, Pune
- Platforms NewTom (NNT Viewer), Carestream CS 3D Imaging, Vatech Ez3D / Green CT
§ 02 · Case types
Pune & Maharashtra
referral centres
The question sets the checklist.
She has reported across these referral types at centres in Pune and Maharashtra. Each is read against its own set of structures and measurements.
Illustrative regions on an anonymised scan — not findings.
§ 03 · Detail
From the whole volume to a single canal.
- 16 × 10 cm field · 0.23 mm voxels · both jaws
- Posterior maxilla · roots, sinus floor, crestal bone
- 4 × 4 cm field · 0.068 mm voxels · canal-level detail
§ 04 · Cases*
15 de-identified cases
Cases, read end to end.
Anonymised cases from her reporting. Select a case to open it.
Findings
Radiographic diagnosis
§ 05 · Research & AI
Applied AI +
volumetric analysis
Beyond routine reporting: applied AI and volumetric methods.
Illustration: density-coloured rendering — not a model output.
02
Volumetric segmentation
ITK-SNAP pipelines.
Semi-automated segmentation of maxillofacial sinus anatomy, producing quantitative volume and voxel-level measurements alongside qualitative description.
03
Ground truth
Dataset annotation.
Expert anatomical annotation and CBCT dataset labelling for AI research, with work on annotation standards and labelling protocols.
- Deep learning and AI detection in oral malignancy 2025
- CBCT report of 3 cases of cysts and its radiographic presentations Intl. J. Scientific Development & Research · 2022
- Position of posterior superior alveolar artery in relation to the maxillary sinus using CBCT in an Indian sub-population J. Oral Medicine & Oral Surgery · 2021
§ 06 · Working together
Clinics · Institutions
· Industry
Ways to work together.
01 · For dental groups & clinics
In-house specialist
Full-time or long-term
For groups with an in-house CBCT scanner. A specialist role inside your team, working with your surgeons, orthodontists, endodontists and periodontists.
- ▸Imaging input to implant, surgical and orthodontic planning
- ▸Structured reporting templates and internal review
- ▸CBCT training for your clinicians
02 · For dental schools & CPD providers
Teaching & CPD programmes
In person or online
Structured CBCT interpretation and reporting programmes, built on six years as Senior Lecturer and Reader teaching undergraduate and postgraduate cohorts.
- ▸CPD workshops and short courses
- ▸Postgraduate reporting modules
- ▸Faculty roles in oral radiology
03 · For CBCT & dental-AI companies
Clinical & AI advisory
Advisory or educator role
Clinical input from a radiologist who has built and annotated CBCT datasets for deep-learning research.
- ▸Annotation protocols and dataset quality
- ▸Clinical validation of detection models
- ▸Clinician education for product teams
§ 07 · Contact
Start a conversation.
Tell me about your institution and what you have in mind. Every enquiry is read and answered personally.
- Based in
- Dubai, United Arab Emirates
- Languages
- English, Hindi, Marathi