AI technologies create new opportunities across healthcare and scientific research—from analyzing clinical data and predicting disease risk to evaluating medical images and supporting research workflows.
Using AI effectively and reliably in healthcare requires more than recognizing algorithms. It also means understanding how methods work, their limitations, and how results should be evaluated.
This Data4Care training helps healthcare professionals and researchers understand AI technologies and apply them thoughtfully in their own fields.
Training Content
1. Introduction to AI
- AI, machine learning, and deep learning concepts
- Current use cases in health and medicine
- Opportunities and limitations of AI
2. Health Data and AI
- Clinical data types and data preparation
- Structured and unstructured health data
- Classification and prediction problems
- Key stages of model development
3. Clinical AI Applications
- Disease risk and clinical outcome prediction
- Diagnostic decision support systems
- AI in medical imaging and laboratory data
- Examples from real clinical research
4. Model Performance and Reliability
- Accuracy, sensitivity, specificity, and ROC/AUC
- Overfitting and data leakage
- Model validation
- Introduction to explainable AI
- Ethics, data privacy, and limits of clinical use
5. Generative AI and Scientific Research
- How large language models work at a basic level
- Use in literature review and research processes
- Support for scientific writing and data analysis
- Verifying AI outputs and responsible use
Who Can Attend?
Physicians, nurses, healthcare professionals, academics, clinical researchers, health sciences students, and anyone who wants to learn AI applications in healthcare.
After the Training
Participants should understand the core logic of AI methods, evaluate health-related use cases, and interpret the performance and limitations of clinical AI studies.
Content can be adapted to participants’ prior knowledge and institutional needs.
Want to learn AI applications in healthcare?
Contact us about individual participation and custom training options for your organization.