Delve into the sustainable development of Artificial Intelligence and its impact on Medicine through TECH, the best digital university in the world according to Forbes"

Throughout their medical procedures, physicians access confidential patient information in order to effectively design their therapies. In this regard, their responsibilities include safeguarding user confidentiality in AI environments. Otherwise, experts could face serious consequences ranging from financial penalties to loss of their license to practice. For this reason, it is essential for specialists to develop privacy policies aimed at protecting sensitive data.

For this reason, TECH implements a postgraduate certificate that will address in detail the integration of ethical values in AI-assisted decision making in medical contexts. The academic itinerary will delve into the guarantee of informed consent in both the collection and use of patients' personal data. Practitioners will learn multiple strategies for sustainable practices in the development and maintenance of AI systems. In this way, your procedures will comply with international data governance and regulatory frameworks. In addition, the learning materials will encourage continuous evaluation of security policies to adapt to technological advances.

All this, through didactic material based on interactive summaries of each topic, videos in detail, complementary readings and case studies to which experts will have access, comfortably, whenever and wherever they wish. Professionals taking this program only need an electronic device with an Internet connection to view, at any time of the day, the content hosted on the virtual platform. Undoubtedly, this is an ideal academic option for those seeking a first-class update through a quality program that facilitates self-management of study time.

The incorporation of ethical considerations in your daily practice, applying Machine Learning, will drive more ethical and committed medical advances"

This postgraduate certificate in Ethics and Regulation in Medical Artificial Intelligence 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 in Clinical Practice
• The graphic, schematic, and practical contents with which they are created, provide scientific and 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

You will develop sound ethical principles to AI in Clinical Research, contributing to fairer, more transparent and socially responsible medical advances"

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 delve into the management of informed consent and responsibility in research, in the context of advanced technologies in the biomedical field"

Take advantage of all the benefits of the Relearning methodology, which will allow you to organize your time and pace of study, adapting to your schedule"

This study will provide specialists with a solid understanding of the ethical foundations related to AI in the medical context. Professionals will master the principles of data governance, thus ensuring that their healthcare praxis complies with the regulatory framework. Graduates will also nurture their procedures by gaining new skills aimed at designing Intelligent Computing with a focus on people. In addition, physicians will be characterized by carrying out processes of transparency and quality to provide medical excellence to patients.

You will develop Medical Machine Learning Models that Promote Fairness and Transparency”

General Objectives

• Understand the theoretical foundations of Artificial Intelligence
• Study the different types of data and understand the data lifecycle
• Evaluate the crucial role of data in the development and implementation of AI solutions
• Delve into algorithms and complexity to solve specific problems
• Explore the theoretical basis of neural networks for Deep Learning development
• Analyze bio-inspired computing and its relevance in the development of intelligent systems
• Analyze current strategies of Artificial Intelligence in various fields, identifying opportunities and challenges
• Critically evaluate the benefits and limitations of AI in healthcare, identifying potential pitfalls and providing an informed assessment of its clinical application
• Recognize the importance of collaboration across disciplines to develop effective AI solutions
• Gain a comprehensive perspective on emerging trends and technological innovations in AI applied to healthcare
• Acquire solid knowledge in medical data acquisition, filtering, and preprocessing
• Understand the ethical principles and legal regulations applicable to the implementation of AI in medicine, promoting ethical practices, fairness, and transparency

Specific Objectives

• Understand the fundamental ethical principles and legal regulations applicable to the implementation of AI in medicine
• Master the principles of data governance
• Understand international and local regulatory frameworks
• Ensure regulatory compliance in the use of AI data and tools in the healthcare sector
• Develop skills to design human-centered AI systems, promoting fairness and transparency in machine learning

A program that will allow you to exercise in simulated environments, so that you can achieve immersive learning with which you can specialize in real situations"