We teach you how to integrate Radiomics and Artificial Intelligence into your clinical practice.

Applied training: fundamentals, hands-on workshops, and projects with real-world data.

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  • Asynchronous classes
  • Videos in multiple languages (ES/EN/PT)
  • No prior knowledge required

What is Radiomics?


Analysis methodology based on extracting a large number of quantitative features from medical images.

Applications of Artificial Intelligence in Healthcare

Benefits

Improved productivity, increased diagnostic performance, early disease detection, and fewer errors.

Challenges

Learn to evaluate AI tools as a new diagnostic modality and integrate them efficiently into the workflow.

Skills

Today’s professionals must be able to adapt and learn to communicate within multidisciplinary Data Science teams.

Our commitment

Provide you with the knowledge to incorporate AI tools into your clinical practice.

Courses aimed at:

  • Healthcare professionals.
  • People looking to develop AI projects in healthcare and who do not know where to start.
  • Those who want to learn how to evaluate and integrate AI tools.
  • Those seeking to acquire new technical competencies needed for modern medicine.

Real healthcare problems

Our courses have a strong practical component in which you will work with real-world data.

We will guide you through the process

If you have never worked with data science tools, programming, or image analysis, this is a good place to start. We will guide you every step of the way.

What you will learn in our courses

  • Correctly identify problems that can be improved using radiomics and AI techniques.
  • Understand each stage of the project lifecycle.
  • Apply these methodologies to new problems.

Frequently asked questions

You do not need any prior programming knowledge. As you will see, our courses are strongly focused on the justification, implementation, and evaluation of artificial intelligence in healthcare. As part of the course, we will use multiple tools, including programming in Python, but we will teach you everything you need to know to understand and use our methodologies.

Today, healthcare work is multidisciplinary, and data science tools can be applied at multiple stages of the patient care cycle, not only in diagnosis. Therefore, if you are a healthcare professional, you can apply this knowledge in management, quality control, and education. On the other hand, if you are not in the healthcare field, our courses can give you an applied perspective on problems and challenges that affect precision medicine.

Our courses are designed for you to learn through online classes, which you can watch according to your time availability. The hands-on workshops are designed for you to complete in real time together with the instructor in the workshop video, so the time it takes you will be equivalent to the course hours. In general, any additional time depends on our students’ motivation to go deeper into the topics or start applying the methodologies to new data or problems.

You will retain access to the course platform for 1 year. However, if you have a particular situation, you can always write to us and we will review it on a case-by-case basis.

Yes. Once you have learned the methodology for each stage, you will be able to replicate it using all the knowledge you have acquired, and in some cases you will even be able to reuse much of the code you learned in our courses. Clearly, in multiple stages you will have basic knowledge, but it will be sufficient to build an initial model with which to start working with your multidisciplinary team and go even further!