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  3. derecAI derecAI

derecAI

Automated dental charting information extraction from x-rays.

Brief information

School:

Computer Science and Information Technology

Status:

Completed

Period:

03.11.2022 - 03.11.2023

Overview

Dental examination is key for dental diagnosis, treatment planning and reevaluation of performed treatments. Most dental clinicians record their observations with a dental chart either on paper or with an electronic charting tool.

Derec is a GDPR-compliant dental charting web-app that enables dentists to precisely document dental conditions with an extensive feature set including periodontal status, restorations and pathologies. The platform also lets dentists keep track of past interventions, treatment decisions i.e., the comprehensive dental history of a patient.

The main drawback faced by clinicians is the initial investment required to fully document a patient’s condition. A thorough dental examination can be time consuming if e.g., the patient has numerous dental restorations and/or pathologies. In addition, it is relatively unpleasant for the patient. Due to these constraints, this initial documentation is often limited in practice.

Solving this challenge would tremendously increase the value of data collected with Derec both from the dental research and business perspectives as it would enable the development of decision support tools for diagnosis and treatment recommendations.

We aim to evaluate the feasibility of automatically extracting dental information from 2D dental x-rays using machine learning. The extracted information will then be used to automatically pre-fill Derec’s patient records after manual validations by the dentist.

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Facts

Type of project

Forschung

Internal organisations involved
  • Algorithmic Business F&E
Funding
  • Innosuisse - HSLU als Hauptforschungspartnerin (Main Research Partner)
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Links

  • Derec

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Persons involved: internal

Project manager
  • Ludovic Amruthalingam
Project Co-Head
  • Marc Pouly
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Persons involved: external

External project manager
  • Daniel Baettig
External Project Co-Head
  • Silvio Lottanti

Brief information

School:

Computer Science and Information Technology

Status:

Completed

Period:

11/03/2022 - 11/03/2023

Project Head

Dr. Ludovic Amruthalingam

Senior Research Associate

+41 41 349 30 74

Show email

Project Co-Head

Prof. Dr. Marc Pouly

Co-Head Applied AI Research Lab

+41 41 757 68 25

Show email

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FH Zentralschweiz

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Lucerne University of Applied Sciences and Arts


Werftestrasse 4
6002 Luzern

+41 41 228 42 42

info@hslu.ch

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