Manejarás los métodos avanzados de recuperación de datos médicos en la mejor universidad digital del mundo, según Forbes” 

El desarrollo de dashboards para la monitorización de indicadores odontológicos es una herramienta valiosa en la práctica odontológica y en la gestión de clínicas dentales. Estos mecanismos proporcionan una visión rápida y visual de datos e indicadores claves relacionados con la salud oral. Una muestra de ello es que permiten a los especialistas realizar un seguimiento real de la salud de los pacientes incluyendo factores como el estado de las restauraciones dentales o la evolución de patologías como las Caries. Además, los datos recopilados por estas herramientas permiten a los profesionales tomar decisiones estratégicas como la adquisición de nuevos equipos o la contratación de personal. 

Ante su importancia, TECH desarrolla un completo programa que versará sobre la monitorización y control de la salud dental mediante IA. El itinerario académico ofrecerá una variedad de sistemas inteligentes para la detección temprana de caries y enfermedades periodontales. Asimismo, el temario profundizará en los sistemas de alerta temprana basados en análisis de texto clínico. Por otra parte, la capacitación analizará herramientas innovadoras destinadas al seguimiento y progresión de la Caries, como el Modelado 3D. También el programa brindará al alumnado técnicas de Big Data como la Minería de Datos, para mejorar así la eficiencia clínica. 

Todo esto mediante un material didáctico innovador y un método Relearning que favorece la consolidación de los conceptos claves abordados y reduce las largas horas de estudio y memorización tan frecuentes en otros sistemas pedagógicos. Sin duda, los profesionales están ante una oportunidad excepcional de obtener una completa actualización mediante un programa que podrá cursar, cuando y donde desee. Únicamente se necesita de un móvil, Tablet u ordenador con conexión a internet para consultar, en cualquier momento del día, el contenido de este programa. Así, sin presencialidad, ni clases con horarios fijos, el alumnado está ante una opción académica compatible con sus responsabilidades más exigentes.

Profundizarás en el reconocimiento de patrones y Machine Learning para ejecutar los diagnósticos clínicos más fidedignos”

Esta Postgraduate diploma en Diagnosis, Treatment and Dental Control with Artificial Intelligence contiene el programa científico más completo y actualizado del mercado. Sus características más destacadas son:

• El desarrollo de casos prácticos presentados por expertos en Diagnóstico, Tratamiento y Control Odontológico con IA
• Los contenidos gráficos, esquemáticos y eminentemente prácticos con los que está concebido recogen una información científica y práctica sobre aquellas disciplinas indispensables para el ejercicio profesional
• Los ejercicios prácticos donde realizar el proceso de autoevaluación para mejorar el aprendizaje
• Su especial hincapié en metodologías innovadoras 
• Las lecciones teóricas, preguntas al experto, foros de discusión de temas controvertidos y trabajos de reflexión individual
• La disponibilidad de acceso a los contenidos desde cualquier dispositivo fijo o portátil con conexión a internet

Optimizarás tu asistencia médica gracias a abordajes definidos por su elevada colaboración interdisciplinaria entre diversos profesionales”

El programa incluye en su cuadro docente a profesionales del sector que vierten en esta capacitación la experiencia de su trabajo, además de reconocidos especialistas de sociedades de referencia y universidades de prestigio. 

Su contenido multimedia, elaborado con la última tecnología educativa, permitirá al profesional un aprendizaje situado y contextual, es decir, un entorno simulado que proporcionará una capacitación inmersiva programada para entrenarse ante situaciones reales. 

El diseño de este programa se centra en el Aprendizaje Basado en Problemas, mediante el cual el profesional deberá tratar de resolver las distintas situaciones de práctica profesional que se le planteen a lo largo del curso académico. Para ello, contará con la ayuda de un novedoso sistema de vídeo interactivo realizado por reconocidos expertos.

¿Buscas profundizar en la gobernanza de datos privados en el contexto sanitario? Consíguelo a través de este plan de estudios en solo 6 meses”

La metodología Relearning empleada en este programa universitario conseguirá que aprendas de forma autónoma y progresiva. ¡A tu propia velocidad!”

This program will focus on the comprehensive application of AI in the dental context, especially in diagnosis and treatment planning. The syllabus will analyze the benefits of this system to manage dental diseases such as caries. At the same time, the syllabus will provide experts with the most cutting-edge tools to optimize therapies, using 3D models. The program will also delve into the impact of Big Data in dental practice, emphasizing Data Mining and other modern techniques, with which specialists will extract valuable information about dental records. 

A program that combines clinical excellence with the technological revolution of Machine Learning. Stay ahead of the curve in the field of Dentistry!"

Module 1. Monitoring and Control of Dental Health using AI

1.1. AI Applications for Patient's Dental Health Monitoring with Dentem

1.1.1. Design of Mobile Applications for Dental Hygiene Monitoring
1.1.2. AI Systems for the Early Detection of Caries and Periodontal Diseases
1.1.3. Use of AI in the Personalization of Dental Treatments
1.1.4. Image Recognition Technologies for Automated Dental Diagnostics

1.2. Integration of Clinical and Biomedical Information as a Basis for Dental Health Monitoring

1.2.1. Platforms for Integration of Clinical and Radiographic Data
1.2.2. Analysis of Medical Records to Identify Dental Risks
1.2.3. Systems for Correlating Biomedical Data with Dental Conditions
1.2.4. Tools for the Unified Management of Patient Information

1.3. Definition of Indicators for the Control of the Patient's Dental Health

1.3.1. Establishment of Parameters for the Evaluation of Oral Health
1.3.2. Systems for Monitoring Progress in Dental Treatments
1.3.3. Development of Risk Indexes for Dental Disease
1.3.4. AI Methods for Prediction of Future Dental Problems with Pearl

1.4. Natural Language Processing of Dental Health Records for Indicator Extraction

1.4.1. Automatic Extraction of Relevant Data from Dental Records
1.4.2. Analysis of Clinical Notes to Identify Dental Health Trends
1.4.3. Use of NLP to Summarize Long Medical Records
1.4.4. Early Warning Systems Based on Clinical Text Analysis

1.5. AI Tools for the Monitoring and Control of Dental Health Indicators

1.5.1. Development of Applications for Monitoring Oral Hygiene and Oral Health
1.5.2. AI-based Personalized Patient Alerting Systems with CarePredict
1.5.3. Analytical Tools for Continuous Assessment of Dental Health
1.5.4. Use of Wearables and Sensors for Real-Time Dental Monitoring

1.6. Development of Dashboards for the Monitoring of Dental Indicators

1.6.1. Creation of Intuitive Interfaces for Dental Health Monitoring
1.6.2. Integration of Data from Different Clinical Sources into a Single Dashboard
1.6.3. Data Visualization Tools for Treatment Monitoring
1.6.4. Customization of Dashboards According to the Needs of the Dental Professional

1.7. Interpretation of Dental Health Indicators and Decision Making

1.7.1. Data-driven Clinical Decision Support Systems
1.7.2. Predictive Analytics for Dental Treatment Planning
1.7.3. AI for the Interpretation of Complex Oral Health Indicators with Overjet
1.7.4. Tools for the Evaluation of Treatment Effectiveness

1.8. Generation of Dental Health Reports using AI Tools

1.8.1. Automation of the Creation of Detailed Dental Reports
1.8.2. Customized Report Generation Systems for Patients
1.8.3. AI Tools for Summarizing Clinical Findings
1.8.4. Integration of Clinical and Radiological Data into Automated Reports

1.9. AI-enabled Platforms for Patient Monitoring of Dental Health

1.9.1. Applications for Oral Health Self-monitoring
1.9.2. AI-based Interactive Dental Education Platforms
1.9.3. Tools for Symptom Tracking and Personalized Dental Advice
1.9.4. Gamification Systems to Encourage Good Dental Hygiene Habits

1.10. Security and Privacy in the Treatment of Dental Information

1.10.1. Security Protocols for the Protection of Patient Data
1.10.2. Encryption and Anonymization Systems in the Management of Clinical Data
1.10.3. Regulations and Legal Compliance in the Management of Dental Information
1.10.4. Privacy Education and Awareness for Professionals and Patients 

Module 2. AI-assisted Dental Diagnostics and Treatment Planning

2.1. AI in Oral Disease Diagnosis with Pearl

2.1.1. Use of Machine Learning Algorithms to Identify Oral Diseases
2.1.2. Integration of AI in Diagnostic Equipment for Real-Time Analysis
2.1.3. AI-assisted Diagnostic Systems to Improve Accuracy
2.1.4. Analysis of Symptoms and Clinical Signals through AI for Rapid Diagnostics

2.2. AI Dental Image Analysis with Aidoc and overjet.ai

2.2.1. Development of Software for the Automatic Interpretation of Dental Radiographs
2.2.2. AI in the Detection of Abnormalities in Oral MRI Images
2.2.3. Improvement in the Quality of Dental Imaging through AI Technologies
2.2.4. Deep Learning Algorithms for Classifying Dental Conditions in Imaging

2.3. AI in Caries and Dental Pathology Detection

2.3.1. Pattern Recognition Systems for Identifying Early Cavities
2.3.2. AI for Dental Pathology Risk Assessment with Overjet.ai
2.3.3. Computer Vision Technologies in the Detection of Periodontal Diseases
2.3.4. AI Tools for Caries Monitoring and Progression

2.4. 3D Modeling and AI Treatment Planning with Materialise Mimics

2.4.1. Using AI to Create Accurate 3D Models of the Oral Cavity
2.4.2. AI Systems in the Planning of Complex Dental Surgeries
2.4.3. Simulation Tools for Predicting Treatment Outcomes
2.4.4. AI in the Customization of Prosthetics and Dental Appliances

2.5. Optimization of Orthodontic Treatments using AI

2.5.1. AI in Orthodontic Treatment Planning and Follow-Up with Dental Monitoring
2.5.2. Algorithms for the Prediction of Tooth Movements and Orthodontic Adjustments
2.5.3. AI Analysis to Reduce Orthodontic Treatment Time
2.5.4. Real-time Remote Monitoring and Treatment Adjustment Systems

2.6. Risk Prediction in Dental Treatments

2.6.1. AI Tools for Risk Assessment in Dental Procedures
2.6.2. Decision Support Systems for Identifying Potential Complications
2.6.3. Predictive Models for Anticipating Treatment Reactions
2.6.4. AI-enabled Medical Record Analysis to Personalize Treatments using ChatGPT and Amazon Comprehend Medical

2.7. Personalizing Treatment Plans with AI with IBM Watson Health

2.7.1. AI in the Adaptation of Dental Treatments to Individual Needs
2.7.2. AI-based Treatment Recommender Systems
2.7.3. Analysis of Oral Health Data for Personalized Treatment Planning
2.7.4. AI Tools for Adjusting Treatments Based on Patient Response

2.8. Oral Health Monitoring with Intelligent Technologies

2.8.1. Smart Devices for Oral Hygiene Monitoring
2.8.2. AI-enabled Mobile Apps for Dental Health Monitoring with Dental Care App
2.8.3. Wearables with Sensors to Detect Changes in Oral Health
2.8.4. AI-based Early Warning Systems to Prevent Oral Diseases

2.9. AI in Oral Disease Prevention

2.9.1. AI Algorithms to Identify Oral Disease Risk Factors with AutoML
2.9.2. Oral Health Education and Awareness Systems with AI
2.9.3. Predictive Tools for the Early Prevention of Dental Problems
2.9.4. AI in the Promotion of Healthy Habits for Oral Prevention

2.10. Case Studies: Diagnostic and Planning Successes with AI

2.10.1. Analysis of Real Cases where AI Improved Dental Diagnosis
2.10.2. Successful Case Studies on the Implementation of AI for Treatment Planning
2.10.3. Treatment Comparisons with and without the Use of AI
2.10.4. Documentation of Improvements in Clinical Efficiency and Effectiveness with AI

Module 3. Advanced Analytics and Data Processing in Dentistry  

3.1. Big Data in Dentistry: Concepts and Applications 

3.1.1. The Explosion of Data in Dentistry
3.1.2. Concept of Big Data
3.1.3. Applications of Big Data in Dentistry

3.2. Data Mining in Dental Records with KNIME and Python

3.2.1. Main Methodologies for Data Mining
3.2.2. Integration of Data from Dental Records
3.2.3. Detection of Patterns and Anomalies in Dental Records

3.3. Advanced Predictive Analytics in Oral Health with KNIME and Python

3.3.1. Classification Techniques for Oral Health Analysis
3.3.2. Regression Techniques for Oral Health Analytics
3.3.3. Deep Learning for Oral Health Analysis

3.4. AI Models for Dental Epidemiology with KNIME and Python

3.4.1. Classification Techniques for Dental Epidemiology
3.4.2. Regression Techniques for Dental Epidemiology
3.4.3. Unsupervised Techniques for Dental Epidemiology

3.5. AI in Clinical and Radiographic Data Management with KNIME and Python

3.5.1. Integration of Clinical Data for Effective Management with AI Tools
3.5.2. Transformation of Radiographic Diagnosis using Advanced AI Systems
3.5.3. Integrated Management of Clinical and Radiographic Data

3.6. Machine Learning Algorithms in Dental Research with KNIME and Python

3.6.1. Classification Techniques in Dental Research
3.6.2. Regression Techniques in Dental Research 
3.6.3. Unsupervised Techniques in Dental Research

3.7. Social Media Analysis in Oral Health Communities with KNIME and Python

3.7.1. Introduction to Social Media Analysis
3.7.2. Analysis of Opinions and Sentiment in Social Media in Oral Health Communities 
3.7.3. Analysis of Social Media Trends in Oral Health Communities 

3.8. AI in Monitoring Oral Health Trends and Patterns with KNIME and Python

3.8.1. Early Detection of Epidemiologic Trends with AI
3.8.2. Continuous Monitoring of Oral Hygiene Patterns with AI Systems
3.8.3. Prediction of Changes in Oral Health with AI Models

3.9. AI Tools for Cost Analysis in Dentistry with KNIME and Python

3.9.1. Optimization of Resources and Costs with AI Tools
3.9.2. Efficiency and Cost-Effectiveness Analysis in Dental Practices with AI
3.9.3. Cost Reduction Strategies Based on AI-analyzed Data

3.10. Innovations in AI for Dental Clinical Research  

3.10.1. Implementation of Emerging Technologies in Dental Clinical Research
3.10.2. Improving the Validation of Dental Clinical Research Results with AI
3.10.3. Multidisciplinary Collaboration in AI-powered Detailed Clinical Research

A unique program that will help you experience a leap in quality in your profession in only 6 months"