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Machine Learning Algorithms play a significant role in dental research, as they serve to recognize risk factors associated with oral pathologies (such as smoking, diet or poor oral hygiene). Therefore, practitioners take these aspects into account when implementing preventive measures aimed at high-risk groups. In this sense, these tools predict the long-term prognosis of certain dental conditions, in addition to evaluating the effectiveness of the treatments applied. This is valuable for the therapeutic approach of patients with chronic conditions or those requiring procedures over a long period of time.

In this context, TECH implements a pioneering program that will deal with Advanced Analysis and Data Processing in Dentistry. With the help of specialists in the field, the syllabus will delve into the Data Mining tool applied to local records, so that students can identify patterns that indicate the presence of oral conditions. Likewise, the syllabus will address the most advanced techniques for Predictive Analytics and the different AI models for dental epidemiology. In line with this, the didactic materials will offer multiple Machine Learning algorithms that will contribute to the development of dental research. The university program will also promote the monitoring of trends and patterns in Oral Health, taking advantage of the rise of social media.

The methodology of this program reinforces its innovative character. To this end, it employs the Relearningmethodology, based on the repetition of key concepts to fix knowledge and facilitate learning. In this way, the combination of flexibility and a robust pedagogical approach makes it highly accessible. In addition, physicians will have access to a didactic library with a variety of multimedia resources in different formats such as interactive summaries, explanatory videos and infographics. Specialists will also learn in simulated learning environments to extract valuable lessons to apply in their work practice.

Perform the most reliable predictive analytics to prevent oral conditions such as caries"

This postgraduate certificate in Advanced Analysis and Data Processing in Dentistry contains the most complete and up-to-date program on the market. The most important features include:

• The development of case studies presented by experts in Artificial Intelligence in Dentistry
• The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice
• Practical exercises where the self-assessment process can be carried out to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

You will nurture your clinical practice with Machine Learning models to focus on dental epidemiology"

The program’s teaching staff includes professionals from the sector who contribute their work experience to this training program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.

You will use the resources of Artificial Intelligence to accurately analyze costs in Dentistry"

With the Relearning system used by TECH you will reduce the long hours of study and memorization. Learn in a natural way!"

Through this postgraduate certificate, graduates will master sets of information in the field of Dentistry, taking advantage of Big Data applications such as Data Mining. Likewise, students will have a series of advanced skills to carry out predictive analysis. On the other hand, students will be highly qualified in areas such as dental epidemiology, clinical data management and social media analysis. In turn, they will employ AI tools to monitor trends, contributing to more efficient management.

Interactive summaries of each topic will allow you to dynamically consolidate machine learning algorithms in dental research"

General Objectives

• Understand the theoretical foundations of Artificial Intelligence
• Study the different types of data and understand the data lifecycle
• Evaluate the crucial role of data in the development and implementation of AI solutions
• Delve into algorithms and complexity to solve specific problems
• Explore the theoretical basis of neural networks for Deep Learning development
• Explore bio-inspired computing and its relevance in the development of intelligent systems
• Analyze current strategies of Artificial Intelligence in various fields, identifying opportunities and challenges
• Gain a solid understanding of Machine Learning principles and their specific application in dental contexts
• Analyze dental data, including visualization techniques to improve diagnostics
• Acquire advanced skills in the application of AI for the accurate diagnosis of oral diseases and interpretation of dental images
• Understand the ethical and privacy considerations associated with the application of AI in dentistry
• Explore ethical challenges, regulations, professional liability, social impact, access to dental care, sustainability, policy development, innovation, and future prospects in the application of AI in dentistry

Specific Objectives

• Handle large datasets in dentistry, understanding the concepts and applications of Big Data, as well as the implementation of data mining and predictive analytics techniques
• Acquire expertise in the application of AI in various aspects, such as dental epidemiology, clinical data management, social network analysis and clinical research, using machine learning algorithms
• Develop advanced skills in the management of large datasets in dentistry, understanding the concepts and applications of Big Data, as well as the implementation of data mining and predictive analytics techniques
• Employ AI tools for monitoring oral health trends and patterns, contributing to more efficient management
• Explore and discuss the various ways in which data analytics is used to improve clinical decision making, patient care management and research in Dentistry

TECH provides you with a high-quality and flexible postgraduate certificate. View it conveniently from your computer, mobile or tablet!"