A program with which you will apply, in only 6 weeks, AI to the clinical setting thanks to the simulation of real cases"

Technology has not only enabled advances in diagnosis and streamlined clinical recording, but also makes it possible to remotely follow patients with serious epidemiological conditions. In its struggle to offer a much more personalized and individualized service, the health care labor market is calling for experts in ICTs, IoT and new technologies. Having this skill will be essential not only for the specialists of tomorrow, but also for those who are already in the profession and have to adapt to its constant changes.

The benefit of being able to forecast a disease before it spreads has a direct impact on the wellbeing of patients. For this reason, it is essential that health professionals are prepared to deal with specific cases, applying specific treatments in each of them and with technological tools that speed up rehabilitation. All this in order to promote the efficacy of pharmacological treatments and predict the behavior of diseases.

To address this professional demand, TECH offers this Postgraduate certificate in Artificial Intelligence and IoT Applications in Telemedicine. Graduates in Nursing and other scientific branches who receive the teaching, will specialize in the application of technologies in medicine, its algorithms and its newest tools. Additionally, they will have the support of teachers who have worked in the clinical sector for years and audiovisual materials, which will be shared through different formats and that will make the program a much more dynamic and enriching process.

Be part of the development of computer applications in the field of oncology to determine tumor cases with similar characteristics in a multitude of patients"

This Postgraduate certificate in Artificial Intelligence and IoT Applications in Telemedicine contains the most complete and up-to-date scientific program on the market. The most important features include:

• Development of practical cases presented by experts in Artificial Intelligence and IoT
• The graphic, schematic, and practical contents with which they are created, provide practical information on the disciplines that are essential for professional practice
• Practical exercises where the self-assessment process can be carried out 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

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The program’s teaching staff includes professionals from the sector who contribute their work experience to this educational program, as well as renowned specialists from leading societies and prestigious universities.

Its multimedia content, developed with the latest educational technology, will allow the professional a situated and contextual learning, that is, a simulated environment that will provide an immersive training programmed to train in real situations.

The design of this program focuses on Problem-Based Learning, in which the professional will have to try to solve the different professional practice situations that will arise throughout the academic course. For this purpose, the student will be assisted by an innovative interactive video system created by renowned experts.

Thanks to TECH, you will learn more about the role of IoT in emergency detection and victim recognition"

Learn about the advantages of AI in patient monitoring with blood pressure cuffs"

The syllabus of this Postgraduate certificate in Artificial Intelligence and IoT Applications in Telemedicine has been developed by professionals with several years of experience in the sector. They are experienced professionals in radiology, telemedicine and E-health. Thanks to their long experience, students will not only enjoy theoretical knowledge of AI, but will also learn how to apply it in the health care field, thanks to the practical guidelines provided by the teachers. Additionally, TECH applies the Relearningmethodology, to exempt students from long hours of memorization that usually occur in other orthodox programs. In contrast, this will enable students to assimilate the contents in a constant and gradual manner.

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Module 1. Applications of Artificial Intelligence and the Internet of Things (IoT) in Telemedicine

1.1.  E-Health Platform. Personalizing Healthcare Services

1.1.1. E-Health Platform
1.1.2. Resources for E-Health Platforms
1.1.3. Digital Europe Program. Digital Europe-4-Health and Horizon Europe

1.2. Artificial Intelligence in the Health care Field I: New Solutions in Computer Applications

1.2.1. Remote Analysis of Results
1.2.2. Chatbox
1.2.3. Prevention and Real-Time Monitoring
1.2.4. Preventive and Personalized Medicine in Oncology

1.3. Artificial Intelligence in Healthcare II:

1.3.1. Monitoring Patients with Reduced Mobility
1.3.2. Cardiac Monitoring, Diabetes, Asthma
1.3.3. Health and Wellness Apps

1.3.3.1. Heart Rate Monitors
1.3.3.2. Blood Pressure Bracelets

1.3.4. Ethical Use of AI in the Medical Field. Data Protection

1.4. Artificial Intelligence Algorithms for Image Processing

1.4.1. Artificial Intelligence Algorithms for Image Handling
1.4.2. Image Diagnosis and Monitoring in Telemedicine

1.4.2.1. Melanoma Diagnosis

1.4.3. Limitations and Challenges in Image Processing in Telemedicine

1.5. Graphics Processing Unit (GPU) Acceleration Applications in Medicine

1.5.1. Program Parallelization
1.5.2. GPU Operations
1.5.3. Application Acceleration using GPU in Medicine

1.6. Natural Language Processing (NLP) in Telemedicine

1.6.1. Text Processing in the Medical Field. Methodology
1.6.2. Natural Language Processing in Therapy and Medical Records
1.6.3. Limitations and Challenges in Natural Language Processing in Telemedicine

1.7. The Internet of Things (IoT) in Telemedicine. Applications

1.7.1. Monitoring Vital Signs. Wearables

1.7.1.1. Blood Pressure, Temperature, and Heart Rate

1.7.2. The IoT and Cloud Technology

1.7.2.1. Data Transmission to the Cloud

1.7.3. Self-Service Terminals

1.8. IoT in Patient Monitoring and Care

1.8.1. IoT Applications for Emergency Detection
1.8.2. The Internet of Things in Patient Rehabilitation
1.8.3. Artificial Intelligence Support in Victim Recognition and Rescue

1.9. Nano-Robots. Typology

1.9.1. Nanotechnology
1.9.2. Types of Nano-Robots

1.9.2.1. Assemblers. Applications
1.9.2.2. Self-Replicating. Applications

1.10. Artificial Intelligence in COVID-19 Control

1.10.1. Covid- 19 and Telemedicine
1.10.2. Management and Communication of Breakthroughs and Outbreaks
1.10.3. Outbreak Prediction in Artificial Intelligence

A program designed for professionals like you, who want to increase their skills with a digital academic update focused on new technologies applied in the health care field"