You will develop the most innovative Artificial Intelligence algorithms for optimizing the treatment of medical images thanks to this Postgraduate diploma 100% online"

Information and Communication Technologies are bursting into the healthcare field to completely transform the way medical care is provided. In this context, E-Health opens up a wide range of entrepreneurial opportunities for developers. Faced with the growing demand for Telemedicine products, professionals can take advantage of Artificial Intelligence to create new applications geared towards both health and wellness. They can also create novel devices capable of monitoring conditions such as diabetes or asthma to help citizens.

In this context, TECH implements a Postgraduate diploma dedicated to business innovation in the area of e-Health. Designed by professionals in this field, the curriculum will address in detail the applications of Machine Learning to Telemedicine. In line with this, the syllabus will delve into essential aspects such as remote analysis of results, implementation of virtual assistants and real-time monitoring. In addition, the didactic materials will pay careful attention to the regulatory frameworks of remote medicine, including ISO Standards. In addition, the training will delve into various business models for entrepreneurship and innovation. 

Because this program is delivered through a 100% online modality, students will be able to plan their own study schedules to experience a fully efficient learning experience. In addition, students will have access to a wide variety of multimedia resources designed to promote dynamic and natural learning. 

and natural learning. To access the Virtual Campus, students will only need a device with Internet access (including their own smartphone). They will also be supported at all times by an experienced teaching staff, who will resolve any doubts that may arise during the study process. 

You will acquire advanced skills that will enable you to undertake e-Health and develop highly personalized services" 

This Postgraduate diploma in Applications of Artificial Intelligence, IoT, and Medical Devices in Telemedicine contains the most complete and up-to-date program on the market. The most important features include:

• The development of practical cases presented by experts in artificial intelligence and medical devices in telemedicine
• 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 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
• The availability of access to content from any fixed or portable device with an Internet connection

Are you looking to enrich your projects with the most effective algorithms for image processing? Achieve it with this training in only 450 hours"

The program’s teaching staff includes professionals from the industry who contribute their work experience to this 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 academic year For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.  

You will master the Graphic Processing Unit to run blood flow simulations and modeling of vital organs"

A syllabus designed under the most revolutionary and efficient pedagogical methodology, Relearning"    

This training will provide students with the most comprehensive understanding of the field of Telemedicine. The academic materials will provide the keys to the correct operation of the healthcare tools, among which the e-Health Platform or Chatbots stand out. In this way, physicians will be able to monitor the status of their patients in real time. The agenda will also explore the technological infrastructure in this area, which will facilitate the provision of remote healthcare services through resources such as virtual assistants. This program includes real case studies and exercises to bring the program's development closer reality of the profession.

The competencies you will acquire after completing the program will guide you towards the correct implementation of Natural Language Processing in Telemedicine"

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

1.1. E-Health Platforms. Personalizing Healthcare Services

1.1.1. e-Health Platforms
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 Healthcare 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. Application Acceleration using Graphics Processing Units (GPU) 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. LoT and Cloud technology

1.7.2.1. Data Transmission to the Cloud

1.7.3. Self-Service Terminals

1.8. The IT in Patient Monitoring and Care

1.8.1. The IT 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

Module 2. Telemedicine and Medical, Surgical and Biomechanical Devices

2.1. Telemedicine and Telehealth

2.1.1. Telemedicine as a Telehealth Service
2.1.2. Telemedicine

2.1.2.1. Telemedicine Objectives
2.1.2.2. Benefits and Limitations of Telemedicine

2.1.3. Digital Health. Technologies

2.2. Telemedicine Systems

2.2.1. Components in Telemedicine Systems

2.2.1.1. Personal
2.2.1.2. Technology

2.2.2. Information and Communication Technologies (ICT) in the Health Sector

2.2.2.1. t-Health
2.2.2.2. m-Health
2.2.2.3. u-Health
2.2.2.4. p-Health

2.2.3. Telemedicine Systems Assessment

2.3. Technology Infrastructure in Telemedicine

2.3.1. Public Switched Telephone Network (PSTN)
2.3.2. Satellite Networks
2.3.3. Integrated Services Digital Network (ISDN)
2.3.4. Wireless Technology

2.3.4.1. WAP. Wireless Application Protocol
2.3.4.2. Bluetooth

2.3.5. Microwave Connections
2.3.6. Asynchronous Transfer Mode (ATM)

2.4. Types of Telemedicine. Uses in Healthcare

2.4.1. Remote Patient Monitoring
2.4.2. Storage and Shipping Technologies
2.4.3. Interactive Telemedicine

2.5. Telemedicine: General Applications

2.5.1. Telecare
2.5.2. Telemonitoring
2.5.3. Telediagnostics
2.5.4. Teleeducation
2.5.5. Telemanagement

2.6. Telemedicine: Clinical Applications

2.6.1. Teleradiology
2.6.2. Teledermatology
2.6.3. Teleoncology
2.6.4. Telepsychiatry
2.6.5. Telehome-care

2.7. Smart Technologies and Care

2.7.1. Integrating Smart Homes
2.7.2. Digital Health to Improve Treatment
2.7.3. Telehealth Clothing Technology. “Smart Clothes”

2.8. Ethical and Legal Aspects of Telemedicine

2.8.1. Ethical Foundations
2.8.2. Common Regulatory Frameworks
2.8.4. ISO Standards

2.9. Telemedicine and Diagnostic, Surgical and Biomechanical Devices

2.9.1. Diagnostic Devices
2.9.2. Surgical Devices
2.9.2. Biomechanic Devices

2.10. Telemedicine and Medical Devices

2.10.1. Medical Devices

2.10.1.1. Mobile Medical Devices
2.10.1.2. Telemedicine Carts
2.10.1.3. Telemedicine Kiosks
2.10.1.4. Digital Cameras
2.10.1.5. Telemedicine Kit
2.10.1.6. Telemedicine Software

Module 3. Business Innovation and Entrepreneurship in E-Health

3.1. Entrepreneurship and Innovation

3.1.1. Innovation
3.1.2. Entrepreneurship
3.1.3. Startups

3.2. Entrepreneurship in e-Health

3.2.1. Innovative E-Health Market
3.2.2. Verticals in e-Health: mHealth
3.2.3. TeleHealth

3.3. Business Models (I): First Stages in Entrepreneurship

3.3.1. Types of Business Models

3.3.1.1. Marketplaces
3.3.1.2. Digital Platforms
3.3.1.3. Saas

3.3.2. Critical Elements in the Initial Phase. The Business Idea
3.3.3. Common Mistakes in the First Stages of Entrepreneurship

3.4. Business Models (II): Business Model Canvas

3.4.1. Canvas Business Model
3.4.2. Value proposition
3.4.3. Key Activities and Resources
3.4.4. Customer Segments
3.4.5. Customer Relationships
3.4.6. Distribution Channels
3.4.7. Partnerships

3.4.7.1. Cost Structure and Revenue Streams

3.5. Business Models (III): Lean Startup Methodology

3.5.1. Create
3.5.2. Validate
3.5.3. Measure
3.5.4. Decide

3.6. Business Models (IV) External, Strategic and Regulatory Analysis 

3.6.1. Red Ocean and Blue Ocean Strategies
3.6.2. Value Curves
3.6.3. Applicable E-Health Regulations

3.7. Successful E-Health Models (I): Knowing Before Innovating

3.7.1. Analysis of Successful E-Health Companies
3.7.2. Analysis of Company X
3.7.3. Analysis of Company Y
3.7.4. Analysis of Company Z

3.8. Successful E-Health Models (II): Listening before Innovating 

3.8.1. Practical Interview: E-Health Startup CEO
3.8.2. Practical Interview: "Sector X" Startup CEO
3.8.3. Practical Interview: "Startup X" Technical Management

3.9. Entrepreneurial Environment and Funding

3.9.1. Entrepreneur Ecosystems in the Health Sector
3.9.2. Financing
3.9.3. Funding

3.10. Practical Tools in Entrepreneurship and Innovation

3.10.1. Open-Source Intelligence (OSINT)
3.10.2. Analysis
3.10.3. No-Code Tools in Entrepreneurship

A top-quality university program, which you can access comfortably from your cell phone, computer or tablet. Enroll now!”