Through this 100% online Postgraduate certificate, you will manage the most innovative techniques of Artificial Intelligence to optimize the follow-up and maintenance of aesthetic procedures”

According to a recent report published by the World Health Organization, during the last year there has been a significant increase in the demand for aesthetic interventions due to factors such as the aging of the population. Faced with this situation, Artificial Intelligence is emerging as an instrument for Monitoring and Maintenance in Aesthetic Medicine, since its allowing to adjust therapies in real time and ensure lasting results. 

In this context, TECH launches a pioneering Postgraduate certificate in Artificial Intelligence for Monitoring and Maintenance in Aesthetic Medicine. Designed by leading experts in this field, the syllabus will delve into subjects ranging from monitoring the evolution of facial treatments with imaging or analyzing the progress of skin scarring to the early identification of adverse effects caused by dermal fillers. At the same time, the syllabus will provide experts with the keys to use state-of-the-art software such as Proven Skincare, VISIA Skin Analysis or Crisalix Volume. In this way, graduates will obtain advanced skills to improve their clinical practices through data analysis and will personalize therapies according to patients' needs. 

It should be noted that the methodology of this program emphasizes its innovative nature. TECH offers a 100% online educational environment, which will allow graduates to combine their studies with the rest of their daily obligations. Similarly, the university program is supported by the innovative Relearning teaching system, based on the repetition of key concepts to fix knowledge and facilitate learning. The combination of flexibility and a robust pedagogical approach makes it highly accessible.

You will use sophisticated Algorithm Systems to identify patterns and trends to improve the quality of aesthetic treatments”

This Postgraduate certificate in Artificial Intelligence for Monitoring and Maintenance in Aesthetic Medicine contains the most complete and up-to-date program on the market. The most important features include:

• The development of case studies presented by experts in Artificial Intelligence applied to Aesthetic Medicine
• 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 self-assessment can be used 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

You will delve into the ethical and legal considerations associated with the use of Artificial Intelligence in Aesthetic Medicine”

The program’s teaching staff includes professionals from the field who contribute their work experience to this educational 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 experts.  

You will master SkinScope LED to analyze skin sensitivity and redness after chemical peels"

Thanks to the revolutionary Relearning methodology, you will integrate all the knowledge in an optimal way to successfully achieve the results you are looking for"

This Postgraduate certificate in Artificial Intelligence for Monitoring and Maintenance in Aesthetic Medicine provides a comprehensive specialization in monitoring post-treatment results and analyzing adherence to aesthetic routines. The didactic contents will provide professionals with the necessary tools to skillfully use state-of-the-art software such as Canfield VECTRA, VISIA Skin Analysis, MirrorMe3D and Crisalix Volume. In this way, graduates will acquire clinical skills to evaluate both facial and body treatments. In addition, the program will include techniques to analyze patient adherence to treatments and manage possible side effects.

You will be able to identify early adverse reactions in laser procedures such as signs of inflammation, intervening immediately in case of any anomaly detected”

Module 1. Artificial Intelligence for Monitoring and Maintenance in Aesthetic Medicine 

1.1. Post-Treatment Results Monitoring 

1.1.1. Follow-Up of Evolution in Facial Treatments with Imaging (Canfield VECTRA) 
1.1.2. Comparison of Before and After Results in Body Procedures (MirrorMe3D)
1.1.3. Automatic Evaluation of Texture and Tone Improvement after Treatment (VISIA Skin Analysis) 
1.1.4. Documentation and Analysis of Skin Healing Progress (SkinIO) 

1.2. Aesthetic Routine Adherence Analysis 

1.2.1. Detection of Adherence to Daily Skin Care Routines (SkinCoach) 
1.2.2. Evaluation of Adherence to Aesthetic Product Recommendations (HelloAva) 
1.2.3. Analysis of Treatment Habits and Routines according to Lifestyle (Proven Skincare) 
1.2.4. Adjustment of Routines Based on Daily Adherence Follow-up (Noom Skin AI) 

1.3. Detection of Early Adverse Effects 

1.3.1. Identification of Adverse Reactions in Dermal Filler Treatments (SkinVision)
1.3.2. Monitoring Inflammation and Post-Treatment Redness (Effaclar AI) 
1.3.3. Monitoring Side Effects after Laser Resurfacing Procedures (Fraxel AI) 
1.3.4. Early Warning of Post-Inflammatory Hyperpigmentation (DermaSensor) 

1.4. Long-Term Follow-Up of Facial Treatments 

1.4.1. Analysis of the Durability of the Effects of Fillers and Botox (Modiface) 
1.4.2. Long-Term Outcome Monitoring of Facelift Procedures (Aesthetic One) 
1.4.3. Evaluating Gradual Changes in Facial Elasticity and Firmness (Cutometer) 
1.4.4. Follow-Up of Facial Volume Improvements after Fat Grafting (Crisalix Volume) 

1.5. Control of Implant and Filler Results 

1.5.1. Detection of Displacements or Irregularities in Facial Implants (VECTRA 3D)
1.5.2. Volume and Shape Tracking in Body Implants (3D LifeViz) 
1.5.3. Analysis of the Durability of Fillers and Their Effect on Facial Contouring (RealSelf AI Volume Analysis) 
1.5.4. Evaluation of Symmetry and Proportion in Facial Implants (MirrorMe3D) 

1.6. Evaluation of Results in Blemish Treatments 

1.6.1. Monitoring Sunspot Reduction after IPL Treatment (Lumenis AI IPL) 
1.6.2. Evaluation of Changes in Hyperpigmentation and Skin Tone (VISIA Skin Analysis) 
1.6.3. Monitoring the Evolution of Melasma Spots in Specific Areas (Canfield Reveal Imager) 
1.6.4. Comparison of Images to Measure Effectiveness of Depigmentation Treatments (Adobe Sensei) 

1.7. Skin Elasticity and Firmness Monitoring 

1.7.1. Measuring Changes in Elasticity after Radiofrequency Treatments (Thermage AI) 
1.7.2. Evaluation of Improvement in Firmness after Ultrasound Treatments (Ultherapy) 
1.7.3. Monitoring Skin Firmness in the Face and Neck (Cutera Xeo) 
1.7.4. Elasticity Monitoring after Use of Creams and Topical Products (Cutometer) 

1.8. Efficiency Control in Anti-Cellulite Treatments 

1.8.1. Cellulite Reduction Analysis in Cavitation Procedures (UltraShape AI) 
1.8.2. Evaluation of Texture and Volume Changes after Anti-Cellulite Treatment (VASER Shape) 
1.8.3. Monitoring Improvements after Body Mesotherapy Procedures (Body FX) 
1.8.4. Comparison of Cellulite Reduction Results with Cryolipolysis (CoolSculpting AI) 

1.9. Peel Results Stability Analysis 

1.9.1. Monitoring Skin Regeneration and Texture after Chemical Peeling (VISIA Complexion Analysis) 
1.9.2. Evaluation of Sensitivity and Redness after Peels (SkinScope LED) 
1.9.3. Monitoring Post-Peel Blemish Reduction (MySkin AI) 
1.9.4. Comparison of Long-Term Results after Multiple Peel Sessions (VISIA Skin Analysis) 

1.10. Adapting Protocols for Optimal Results 

1.10.1. Adjustment of Parameters in Rejuvenation Treatments According to Results (Aesthetic One) 
1.10.2. Customization of Post-Treatment Maintenance Protocols (SkinCeuticals Custom D.O.S.E) 
1.10.3. Optimization of Time between Sessions of Non-Invasive Procedures (Aysa AI) 
1.10.4. Home Care Recommendations Based on Treatment Response (HelloAva)

This academic itinerary is exclusive to TECH and you will be able to develop it at your own pace thanks to its 100% online Relearning methodology"