Course : AI and robotics for healthcareconcrete applications
Seminar - 2d
- 14h00 - Ref. IAZ
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 | Have a better definition of the possibilities of AI and robotics in the world of medicine/health. |
| Discover the ecosystem, architectures, possibilities and limits of medical technology |
| Identify current and future uses: augmented human beings, IoT, IoB |
| Define the resources required for your MedTech project |
| Better identify markets, challenges and future developments in digital health (e-health) |
Intended audience
Business decision-makers looking for an overview of new technologies and project opportunities linked to healthcare, medicine, AI and robotics.
Prerequisites
No special knowledge required.
Practical details
Storyboarding workshops
Discussions, experience-sharing, case studies.
Teaching methods
Active pedagogy based on examples, demonstrations, experience sharing and case studies.
Course schedule
1 Introduction, definitions, background
- Software and hardware developments in the medical world.
- Algorithms and expert systems in healthcare.
- Artificial intelligence (AI) and robotics, synergy between man and machine.
- Supervised and unsupervised learning.
- Key historical milestones.
- Machine learning, deep learning, genetic algorithms.
- Semantic analysis, NLP, NLU, NLG.
- Mapping useful definitions.
2 Markets, jobs and uses in medicine
- Impact on healthcare and digital professions.
- The supply and relationship of care linked to new technologies.
- BioTech, MedTech and e-health.
- Key players and markets: France, Europe, worldwide.
- Reception, patient management.
- AI and medical emergency management.
- Evolution and typology of uses.
- Strategic direction.
3 Medical algorithms and artificial intelligence
- Big data, databases and data warehouses.
- Knowledge coding.
- Algorithms and medical decision support systems.
- Binary trees, GAN, BIG-GAN.
- From theory to practice.
- 3D simulations and digital twins.
- AI and health in the general population.
- Collect, filter and train a data set.
- Statistics, mathematics and 2D/3D geometry applied to medical data.
4 Medical digital imaging
- Formats, software, frameworks and digital processing tools.
- Optimization, detection of anomalies, shapes and objects.
- Optical character recognition (OCR).
- X-rays, CT scans and optimization.
- MRI, angiography, neuroimaging.
- Photographs, videos, 2D/3D/360, sections, fibroscopies, colonoscopies.
- False colors, data visualization/DataViz.
- Automated creation of medical datasets.
5 Risk prevention, prediction and estimation
- Epidemiological surveillance.
- Medical research, predictive medicine.
- Psychology, psychiatry, chatbots and IoB (Internet of Behavior).
- Monitoring, physical conditions.
- Cardiology, stroke prevention.
- Cancer prediction.
- Quality of life, hygiene and traceability.
- Virtual, augmented and mixed reality in healthcare.
6 Robotics, IoT (Internet of Things), sensors and implants
- Telemedicine, computer-assisted surgery, surgical robots.
- Companion and assistance robot.
- Deafness, cochlear implant, cranial implant.
- Blindness, ocular and retinal implants.
- Diabetes, implants, glycemic control.
- Brain-machine interface (BMI), IoT and IoB.
- Exoskeletons and prostheses for mobility.
- Laboratory equipment.
7 Legislation, standards, ethics and safety
- Individual and collective ethical choices.
- Paradoxes and ethical dilemmas.
- Privacy, ransomware, cybersecurity and operational security.
- Health Data Warehouse (HDW).
- Insurance, mutuals, liability and e-health.
- Health data host (HDS).
- Data privacy, sensitive data, RGPD.
- Technical and technological constraints.
- Regulator, government, senate, bioethics committees.
8 Future trends, the future of healthcare
- Quantum computers and simulations.
- Augmented man and transhumanism.
- New bio-organic components.
- Neuromorphic processors.
- Invasive and non-invasive medical nanorobotics.
- 100% connected, predictive medicine.
- The end of diagnostic wandering.
- Care for rare and orphan diseases.
Customer reviews
4,6 / 5
Customer reviews are based on end-of-course evaluations. The score is calculated from all evaluations within the past year. Only reviews with a textual comment are displayed.
CHRISTOPHE P.
12/11/25
5 / 5
The AI and robotics for healthcare course is really very interesting and well presented. The support is good and the little demonstrations and exercises are essential.
JEAN-LOUIS T.
12/06/25
5 / 5
Great presenter, thank you!
VIRGINIE BRENDA D.
12/06/25
4 / 5
Very good training, quite dense, which perhaps deserves more time to be able to see each subject in a little more detail.
PARTICIPANTS
Business decision-makers looking for an overview of new technologies and project opportunities linked to healthcare, medicine, AI and robotics.
PREREQUISITES
No special knowledge required.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
Business decision-makers looking for an overview of new technologies and project opportunities linked to healthcare, medicine, AI and robotics.
PREREQUISITES
No special knowledge required.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TEACHING AIDS AND TECHNICAL RESOURCES
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
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