A 100% online program, designed with the latest in academic preparation, that will allow you to update your knowledge with a specific focus on Medical Diagnosis using Artificial Intelligence”

Currently, Artificial Intelligence assisted diagnostic system technologies are personalizing treatments by identifying unique patterns in each patient, improving the prediction of diseases such as Cancer or cardiac pathologies. This advance is transforming Precision Medicine and continues to evolve as more genomic and biometric data is integrated into algorithms.

This study plan aims to review the most up-to-date tools in medical diagnosis, such as Viz.ai, which uses advanced algorithms to quickly analyze CT images of patients with suspected strokes, allowing automatic prioritization of the most severe cases. This technology speeds up the decision-making process in real time, which is crucial in situations where every minute counts.

That is why the agenda of the academic program begins with a solid foundation in the theoretical foundations of Artificial Intelligence, where students will analyze the different types of data and the data life cycle. In addition, the critical role that data plays in the development and implementation of AI solutions will be analyzed, offering a holistic view of the process. The theoretical foundations of neural networks and their application in Deep Learning, a key technique in the evolution of modern AI, as well as bio-inspired computing, which mimics natural processes to develop intelligent systems, will also be addressed.

Therefore, the academic itinerary will focus on the implementation of solutions to automate processes and personalize medical diagnoses, as well as on the application of data mining and predictive analytics techniques. Consequently, this will be an exhaustive 100% online program, which will provide the ease of being able to take it comfortably, wherever and whenever graduates wish, as they will only need an electronic device with an Internet connection. It will also be based on the revolutionary Relearning methodology, consisting of the continuous reiteration of key concepts for an optimal and organic assimilation of the contents.

Master automation techniques in medical diagnosis through Artificial Intelligence thanks to tools such as Viz.ai, which is able to detect diseases through algorithms”

This Postgraduate certificate in Personalization and Automation in Medical Diagnostics using Artificial Intelligence contains the most complete and updated scientific program on the market. Its most notable features are:

• The development of practical cases presented by experts in Artificial Intelligence applied to Diagnostic Imaging
• 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 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

Improve your skills in a flexible and up-to-date environment, in which you will master advanced clinical data processing and mining techniques, integrating technologies such as Natural Language Processing”

The program’s teaching staff includes professionals from the sector who contribute their work experience to this specializing 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.

Become an expert in the use of machine learning algorithms and neural networks for the analysis of medical data, such as radiology images, thanks to an extensive library of multimedia resources”

Enroll in this program and take advantage of the revolutionary Relearning methodology, which will allow you to master in a practical and efficient way the application of Artificial Intelligence in medical diagnosis”

This 6-week Postgraduate certificate will delve into Personalization and Automation in Medical Diagnostics using Artificial Intelligence. In this way, throughout this specialization, physicians will analyze various disease detection techniques through AI, as well as medical image processing using Butterfly Network. In addition, they will update their knowledge in algorithms for real-time processing of images during medical procedures. All this will be facilitated thanks to the Relearning system, implemented by TECH in all its programs, allowing an assimilation of the contents without the need for long hours of study.

This program will offer you a broad content on Artificial Intelligence models, focusing on the implementation of advanced technological solutions in hospital environments”

Module 1. Personalization and Automation in Medical Diagnostics using Artificial Intelligence

1.1. Application of Artificial Intelligence in Genomic Sequencing and Correlation with Imaging Findings using Fabric Genomics

1.1.1. Artificial Intelligence Techniques for the Integration of Genomic and Imaging Data
1.1.2. Predictive Models to Correlate Genetic Variants with Pathologies Visible in Images
1.1.3. Development of Algorithms for the Automatic Analysis of Sequences and their Representation in Images
1.1.4. Case Studies on the Clinical Impact of Genomics-Imaging Fusion

1.2. Advances in Artificial Intelligence for the Detailed Analysis of Biomedical Images with PathAI

1.2.1. Innovations in Image Processing and Analysis Techniques at the Cellular Level
1.2.2. Application of Artificial Intelligence for Resolution Enhancement in Microscopy Images
1.2.3. Deep Learning Algorithms Specialized in the Detection of Submicroscopic Patterns
1.2.4. Impact of Advances in Artificial Intelligence on Biomedical Research and Clinical Diagnosis

1.3. Automation in Medical Image Acquisition and Processing with Butterfly Network

1.3.1. Automated Systems for the Optimization of Image Acquisition Parameters
1.3.2. Artificial Intelligence in the Management and Maintenance of Imaging Equipment
1.3.3. Algorithms for Real-Time Processing of Images during Medical Procedures
1.3.4. Successful Cases in the Implementation of Automated Systems in Hospitals and Clinics

1.4. Personalization of Diagnoses using Artificial Intelligence and Precision Medicine with Tempus AI

1.4.1. Artificial Intelligence Models for Personalized Diagnostics Based on Genetic and Imaging Profiles
1.4.2. Strategies for the Integration of Clinical and Imaging Data in Therapeutic Planning
1.4.3. Impact of Precision Medicine on Clinical Outcomes Via AI
1.4.4. Ethical and Practical Challenges in Implementing Personalized Medicine

1.5. Innovations in AI-Assisted Diagnostics with Caption Health

1.5.1. Development of New Artificial Intelligence Tools for the Early Detection of Diseases
1.5.2. Advances in Artificial Intelligence Algorithms for the Interpretation of Complex Pathologies
1.5.3. Integration of AI-Assisted Diagnostics in Routine Clinical Practice
1.5.4. Evaluation of the Effectiveness and Acceptance of Diagnostic Artificial Intelligence by Healthcare Professionals

1.6. Applications of Artificial Intelligence in Microbiome Image Analysis with DayTwo AI

1.6.1. Artificial Intelligence Techniques for Image Analysis in Microbiome Studies
1.6.2. Correlation of Microbiome Imaging Data with Health Indicators
1.6.3. Impact of Microbiome Findings on Therapeutic Decisions
1.6.4. Challenges in the Standardization and Validation of Microbiome Imaging

1.7. Use of Wearables to Improve the Interpretation of Diagnostic Images with AliveCor

1.7.1. Integration of Wearable Data with Medical Images for Complete Diagnostics
1.7.2. AI Algorithms for the Analysis of Continuous Data and its Representation in Images
1.7.3. Technological Innovations in Wearable Devices for Health Monitoring
1.7.4. Case Studies on Improving Quality of Life Through Wearables and Imaging Diagnostics

1.8. Management of Diagnostic Imaging Data in Clinical Trials using Artificial Intelligence

1.8.1. AI Tools for the Efficient Management of Large Volumes of Image Data
1.8.2. Strategies to Ensure the Quality and Integrity of Data in Multicenter Studies
1.8.3. Artificial Intelligence Applications for Predictive Analytics in Clinical Trials
1.8.4. Challenges and Opportunities in the Standardization of Imaging Protocols in Global Trials

1.9. Development of Treatments and Vaccines Assisted by Advanced AI Diagnostics

1.9.1. Use of Artificial Intelligence to Design Personalized Treatments Based on Imaging and Clinical Data
1.9.2. Artificial Intelligence Models in the Accelerated Development of Vaccines Supported by Diagnostic Imaging
1.9.3. Evaluation of the Effectiveness of Treatments by Means of Image Monitoring
1.9.4. Impact of Artificial Intelligence in the Reduction of Time and Costs in the Development of New Therapies

1.10. AI Applications in Immunology and Immune Response Studies with ImmunoMind

1.10.1. AI Models for the Interpretation of Images Related to the Immune Response
1.10.2. Integration of Imaging Data and Immunological Analysis for Accurate Diagnosis
1.10.3. Development of Imaging Biomarkers for Autoimmune Diseases
1.10.4. Advances in the Personalization of Immunological Treatments through the Use of Artificial Intelligence

You will address ethical and privacy issues in the handling of sensitive data in the implementation of automated systems in clinical settings, all from the hand of the best digital university in the world, according to Forbes: TECH”