AI in Dental Image Analysis: A Guide for Authors and Reviewers

AI in Dental Image Analysis: A Guide for Authors and Reviewers
Slide Note
Embed
Share

The application of artificial intelligence in dental image analysis with this comprehensive guide designed for authors and reviewers in the field of dentistry. Learn about the latest advancements, techniques, and recommendations for leveraging AI technology in the analysis of dental images. Stay informed about the impactful intersection of AI and dental care to enhance diagnostics and treatment strategies.

  • AI in Dentistry
  • Dental Imaging
  • Image Analysis
  • Artificial Intelligence
  • Author Guidelines

Uploaded on Feb 17, 2025 | 0 Views


Download Presentation

Please find below an Image/Link to download the presentation.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.

You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.

E N D

Presentation Transcript


  1. FGAI4H-I-042-A01 E-meeting, 7-8 May 2020 Source: TG-Dental Topic Driver Title: FTG-Dental: Artificial intelligence for dental image analysis: A guide for authors and reviewers - Att.1: Presentation Purpose: Discussion Contact: Joachim Krois Falk Schwendicke E-mail: joachim.krois@charite.de E-mail: falk.schwendicke@charite.de Abstract: This presentation is given at the FG-AI4H e-meeting on 07-08 May 2020 and contains: Background and aims Envisioned process Expected outcome

  2. Meeting I TG-Dental: Artificial intelligence for dental image analysis: A guide for authors and reviewers May 07-08, 2020 Falk Schwendicke, Joachim Krois

  3. Background Doubts as to the robustness, generalizability, transparency and replicability In dentistry, and specifically, dental image analysis, datasets are small, lacking robustness and stability data generation process, data sources and annotation strategy poorly conducted and reported choice of model, training and hyperparameter tuning as well as validation strategy not ideal or not reported outcomes often focus on technical performance rather than relevant aspects beyond that A A wealth wealth of of studies studies performed performed and and submitted submitted for flaws flaws: : Research Research resources resources wasted, wasted, futile futile research applications applications applied applied clinically clinically for publication, publication, all research spread spread and all with with these potentially harmful these harmful and potentially

  4. Aims Guidance for authors, reviewers and editors to scrutinize when assessing their own or other researchers work needed We plan to establish, discuss and approve a guidance document on how to conceive, conduct and report studies on AI in dental image analysis. CONSORT STROBE STARD TRIPOD RECORD QUADAS-2

  5. Envisioned process existing reviews and guidance materials principles of evidence-based research practice and reporting checklists a set of guidance items will be defined by topic drivers and members of the TG Dental Guidance document will be circulated and discussed among the focus group. Structured consensus process tbd

  6. Expected outcome publication Dentistry narrow focus on dental image analysis and AI, additive to other guidance documents to come NOT authorative and final, but a living document. in Journal of

  7. Next steps Finalization of paper and checklist Circulation among focus group Discussion and agreement Submission, dissemination, refinement

  8. Thank you!

Related


More Related Content