Thanks to this 100% online Postgraduate certificate, you will apply the most innovative Medical Image processing techniques for early detection of a variety of pathologies such as Lung Cancer” 

According to a new study by the World Health Organization, the use of Artificial Intelligence in the interpretation of Medical Images can reduce diagnostic errors in complex pathologies by 30%, among which Cancer and Neurological Diseases stand out. In view of this, the organization urges physicians to develop algorithms that facilitate the early detection of diseases, the monitoring of treatments and the personalization of clinical interventions. 

In this context, TECH is developing a pioneering Postgraduate certificate in Advanced Applications of Artificial Intelligence in Medical Imaging Studies and Analysis. The academic itinerary will delve into subjects ranging from the design of user interfaces for the integrated visualization of multidisciplinary data or early warning systems in the detection of anomalies to the most sophisticated visualization tools for therapeutic planning. In line with this, the syllabus will analyze how the Data Mining technique can be used to identify relevant biomarkers such as changes in lung density to identify diseases such as Pulmonary Fibrosis. In this way, graduates will develop advanced competencies to handle emerging tools such as Deep Learning to optimize the processing of Medical Images. 

On the other hand, the university program is based on the Relearning method, of which TECH is a pioneer, and which guarantees the exhaustive assimilation of complex concepts. In this regard, it should be noted that the only thing required by doctors to access this Virtual Campus is a device with Internet access (such as cell phones, tablets or computers). In this way, graduates will have at their disposal a variety of multimedia resources such as explanatory videos, case studies and interactive summaries. 

You will learn useful lessons from real cases in simulated learning environments”

This Postgraduate certificate in Advanced Applications of Artificial Intelligence in Medical Imaging Studies and Analysis contains the most complete and up-to-date program on the market. The most important features include:

• Development of practical cases presented by experts in Artificial Intelligence 
• The graphic, schematic and eminently practical contents with which it is conceived gather scientific and practical information on those disciplines that are indispensable for professional practice 
• Practical exercises where self-assessment can be used 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 delve into how Augmented Reality can be used in image-guided surgical procedures to facilitate the precise localization of delicate structures such as nerves or arteries”

The program’s teaching staff includes professionals from the field who contribute their work experience to this educational 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 course. For this purpose, students will be assisted by an innovative interactive video system created by renowned and experienced experts.

Looking to master the most innovative imaging biomarker clinical validation techniques for diagnostic use? Get it through this university program in only 6 weeks"

With TECH's disruptive Relearning system you will reduce the long hours of study and memorization. You will progressively update your knowledge!"

The didactic materials that make up this university program have been developed by recognized experts in Advanced Applications of Artificial Intelligence in Medical Imaging Studies and Analysis. The study plan will delve into issues such as methods of integrating image data with other biomedical sources or development of Neural Network architectures for specific images to early warning systems in the detection of anomalies. Likewise, the syllabus will delve into the most innovative simulation techniques for surgery planning, which will allow professionals to visualize the individual anatomy of patients in order to anticipate complications.

You will implement Artificial Intelligence models to identify pathologies in different Medical Imaging modalities such as Magnetic Resonance Imaging, Computed Tomography or Ultrasound” 

Module 1. Advanced Applications of Artificial Intelligence in Medical Imaging Studies and Analysis 

1.1. Design and Execution of Observational Studies using Artificial Intelligence in Medical Imaging with Flatiron Health 

1.1.1. Criteria for the Selection of Populations in Artificial Intelligence Observational Studies 
1.1.2. Methods for Controlling Confounding Variables in Imaging Studies 
1.1.3. Strategies for Long-Term Follow-Up in Observational Studies 
1.1.4. Analysis of Results and Validation of Artificial Intelligence Models in Real Clinical Settings 

1.2. Validation and Calibration of AI Models in Image Interpretation with Arterys Cardio AI 

1.2.1. Cross-Validation Techniques Applied to Diagnostic Imaging Models 
1.2.2. Methods for Probability Calibration in AI Predictions 
1.2.3. Performance Standards and Accuracy Metrics for AI Evaluation 
1.2.4. Implementation of Robustness Testing in Different Populations and Conditions 

1.3. Methods of Integrating Imaging Data with other Biomedical Sources 

1.3.1. Data Fusion Techniques to Improve Image Interpretation 
1.3.2. Joint Analysis of Images and Genomic Data for Accurate Diagnoses 
1.3.3. Integration of Clinical and Laboratory Information in Artificial Intelligence Systems 
1.3.4. Development of User Interfaces for Integrated Visualization of Multidisciplinary Data 

1.4. Use of Medical Imaging Data in Multidisciplinary Research with Enlitic Curie 

1.4.1. Interdisciplinary Collaboration for Advanced Image Analysis 
1.4.2. Application of Artificial Intelligence Techniques from other Fields in Diagnostic Imaging 
1.4.3. Challenges and Solutions in the Management of Large and Heterogeneous Data 
1.4.4. Case Studies of Successful Multidisciplinary Applications 

1.5. Specific Deep Learning Algorithms for Medical Imaging with Aidoc 

1.5.1. Development of Image-Specific Neural Network Architectures 
1.5.2. Optimization of Hyperparameters for Medical Imaging Models 
1.5.3. Transfer of Learning and its Applicability in Radiology 

1.6. Challenges in the Interpretation and Visualization of Features Learned by Deep Models

1.6.1. Optimization of the Interpretation of Medical Images by Automation with Viz.ai
1.6.2. Automation of Diagnostic Routines for Operational Efficiency
1.6.3. Early Warning Systems for Anomaly Detection
1.6.4. Reduction of Radiologists' Workload through Artificial Intelligence Tools
1.6.5. Impact of Automation on the Accuracy and Speed of Diagnostics

1.7. Simulation and Computational Modeling in Diagnostic Imaging

1.7.1. Simulations for Training and Validation of Artificial Intelligence Algorithms
1.7.2. Modeling of Diseases and their Representation in Synthetic Images
1.7.3. Use of Simulations for Treatment and Surgery Planning
1.7.4. Advances in Computational Techniques for Real-Time Image Processing

1.8. Virtual and Augmented Reality in Medical Image Visualization and Analysis

1.8.1. Virtual Reality Applications for Diagnostic Imaging Education
1.8.2. Use of Augmented Reality in Image-Guided Surgical Procedures
1.8.3. Advanced Visualization Tools for Therapeutic Planning
1.8.4. Development of Immersive Interfaces for the Review of Radiological Studies

1.9. Data Mining Tools Applied to Diagnostic Imaging with Radiomics

1.9.1. Techniques for Data Mining of Large Medical Image Repositories
1.9.2. Pattern Analysis Applications for Image Data Collections
1.9.3. Biomarker Identification through Image Data Mining
1.9.4. Integration of Data Mining and Machine Learning for Clinical Discovery

1.10. Development and Validation of Biomarkers using Image Analysis with Oncimmune 

1.10.1. Strategies to Identify Imaging Biomarkers in Various Diseases 
1.10.2. Clinical Validation of Imaging Biomarkers for Diagnostic Use 
1.10.3. Impact of Imaging Biomarkers on Treatment Personalization 
1.10.4. Emerging Technologies in the Detection and Analysis of Biomarkers through Artificial Intelligence  

With the most highly valued study methods in online teaching, this Postgraduate certificate will allow you to make unstoppable progress in your professional growth as a Doctor. What are you waiting for to enroll?"