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About Study Course

ECTS:7
Course supervisor:Aleksandra Kārkle
Study type:Full time
Course level:Doctor
Target audience:Medicine
Language:Latvian
Study course description Full description, Full time
Branch of science:Other medical sciences

Objective

The course develops the resident's competence in the application of digital technologies in endodontic diagnosis, treatment planning, clinical practice and research. Residents acquire advanced knowledge of digital clinical documentation, intraoral scanning, computer-assisted treatment planning, the design of guided endodontic procedures, computer-guided endodontics and the application of micro-computed tomography (micro-CT). The course prepares residents to integrate contemporary digital technologies into evidence-based endodontic practice to achieve accurate, safe and predictable treatment outcomes.

Learning outcomes

Knowledge

1.1. Acquire advanced knowledge of the application of digital technologies in endodontic diagnosis, treatment planning, clinical practice and scientific research.
2. Acquire advanced knowledge of the principles, applications and limitations of digital clinical documentation, intraoral scanning, computer-assisted treatment planning, guided endodontics, computer-guided endodontics and micro-computed tomography (micro-CT).

Skills

1.1. Plan and apply digital technologies in endodontic treatment planning, clinical documentation and the management of complex clinical cases using an evidence-based approach.
2. Evaluate the clinical applications of digital technologies, interpret digital diagnostic data and critically assess their contribution to improving treatment accuracy, safety and predictability.

Competence

1.1. Independently integrate digital technologies into endodontic practice by selecting the most appropriate diagnostic, treatment planning and treatment approaches for each clinical situation.
2. Critically evaluate and implement contemporary digital technologies and innovations in endodontics to provide high-quality, accurate and evidence-based patient care, and apply these technologies in scientific research and academic practice.