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Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

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AI-assisted Software Development in Digital Dentistry: A Technical Innovation Report with Three Open-Source

Marcel Reymus1, Antonin Tichy2, Christian Diegritz1

  • 1Department of Conservative Dentistry, Periodontology and Digital Dentistry, LMU University Hospital, LMU Munich, Munich, Germany.

Journal of Dentistry
|June 26, 2026
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI)-assisted software development empowers dentists without coding experience to create dental applications. This workflow enables prototyping for research and education, but clinical use requires rigorous validation and regulatory approval.

Keywords:
Artificial IntelligenceAugmented RealityDental EducationEndodonticsLarge Language ModelsVibe Coding

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Area of Science:

  • Biomedical Engineering
  • Dental Informatics
  • Software Engineering

Background:

  • Dental practitioners often face challenges in developing custom software solutions for research, education, and clinical support.
  • Traditional software development requires specialized programming skills, limiting accessibility for many clinicians.
  • Emerging artificial intelligence (AI) tools offer potential solutions to bridge this gap.

Purpose of the Study:

  • To introduce a practical workflow for AI-assisted software engineering tailored for dentistry.
  • To demonstrate the feasibility of this workflow by developing and showcasing three open-source dental applications.
  • To highlight the potential of AI in democratizing software creation within the dental field.

Main Methods:

  • Employed four AI-assisted development approaches: large language model chat interfaces, command-line tools, AI-integrated development environments, and agent-based architectures.
  • Developed three distinct dental software applications: VirtualEndo Converter, MeshComparisonTool, and DentalEmergencyTrainer.
  • All applications were created by a single clinician lacking formal programming training and are available as open-source projects.

Main Results:

  • Successfully developed and deployed three functional dental applications: VirtualEndo Converter (for AR/VR), MeshComparisonTool (for 3D morphology comparison), and DentalEmergencyTrainer (for emergency simulations).
  • All developed applications are publicly accessible on GitHub under the permissive MIT license.
  • The workflow proved effective in enabling a non-programmer to create functional software prototypes.

Conclusions:

  • AI-assisted software development offers a viable pathway for dental practitioners to create prototypes addressing unmet needs in research, education, and clinical support.
  • While functional prototypes can be rapidly developed, their transition to clinical use necessitates comprehensive validation, security assessments, and regulatory compliance.
  • Further studies are needed to establish the reproducibility and broad applicability of this AI-assisted development approach in dentistry.