Deep Learning in health care - from theory to practice
The training presents practical aspects of implementing deep learning solutions in the healthcare sector, focusing on real-world use cases and implementation challenges. The program combines theoretical foundations with practical workshops, enabling participants to understand the full lifecycle of an AI project in a medical environment. Classes are conducted with a focus on the specifics of the health sector, regulations and medical data security requirements.
Issues
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Medical standards
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Interoperability of systems
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Security of medical data
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Clinical validation
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Solution certification
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Integration with HIS
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Monitoring of systems
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Production updates
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Medical data flows
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Interdisciplinary cooperation
Benefits
- The participant will develop a deep understanding of the specifics of AI implementation in the healthcare sector, taking into account regulatory requirements
- He or she will acquire a working knowledge of designing AI systems that comply with medical standards and security requirements
- Will learn how to effectively manage medical data in the context of machine learning
- Will learn methods for validation and certification of AI systems in a clinical environment
- Will be able to design solutions that meet medical systems interoperability requirements
- Will gain the ability to effectively collaborate with medical experts in the systems development process
- Will develop the ability to manage risks in healthcare AI projects
- Will gain practical experience in integrating AI systems with existing medical infrastructure
Who is this training for?
Prerequisites
- Advanced knowledge of deep learning techniques
- Experience in IT projects in the health sector
- Knowledge of data security standards
- Basic knowledge of medical systems
Training program
Specifics of medical data
- Interoperability standards
- Regulatory requirements
- IT infrastructure in health care
- Implementation of solutions
- Preparation of medical data
- Architecture design
Training models
- Clinical validation
System integration
- Cooperation with HIS systems
- Data flow management
- Information security
- HIPAA/GDPR compliance
- Implementation and maintenance
- Certification process
- Performance monitoring
Risk management
- System updates
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Frequently asked questions
What are the prerequisites for this training?
For Deep Learning in health care - from theory to practice we recommend: Advanced knowledge of deep learning techniques; Experience in IT projects in the health sector; Knowledge of data security standards.
What is the format and duration of this training?
The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.
Who is this training designed for?
This training is designed for: ML engineers working in the health sector; Architects of medical solutions; Data Scientists specializing in healthcare.
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Funding Options
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Development Services Database
Up to 80% funding for SMEs from EU funds
Check availabilityNational Training Fund
Up to 100% funding for employers
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