Through this 100% online program, you will delve into the current debates surrounding the implementation of AI in the medical field, focusing on the ethical implications of its use in diagnostic imaging”

Artificial Intelligence in diagnostic imaging represents a significant advance for medical practice. Its main challenges include the transparency of algorithms, crucial to ensure that automated decisions are understandable and reliable. In fact, it is essential for physicians to know how AI can impact equity in access to care and how legal liabilities are assigned in case of errors.

This is how this Postgraduate certificate was born, which will address the ethical aspects of Artificial Intelligence (AI) in diagnostic imaging, using tools such as Ethics and Algorithms Toolkit. In this sense, professionals will become familiar with the fundamental ethical principles in the use of AI, with a special emphasis on the management of algorithmic biases and their impact on the fairness of diagnosis.

Legal and regulatory considerations will also be addressed, using resources such as Compliance.ai to understand the current regulatory framework for Artificial Intelligence in medical imaging. In addition, privacy regulations and data protection, as well as validation and certification requirements for these algorithms in healthcare will be discussed. The possible scenarios of legal liability in case of diagnostic errors will also be analyzed.

In turn, the academic itinerary will cover the impact of AI on equity and access to healthcare, through the use of tools such as AI for Good. Therefore, it will delve into how AI can influence the distribution of medical services and strategies to ensure equitable access to this technology, even in resource-limited settings.

In this way, the study plan incorporates a completely online method, providing students with a complete experience without the need to travel to an educational center or adhere to a pre-established schedule. Additionally, the Relearning methodology will be used, which is characterized by the repetition of the most relevant concepts for an effective understanding of the contents.

Enroll in this program, in which you will address key issues related to the integration of advanced technologies in the medical field. With all the TECH quality guarantees!"

This Postgraduate certificate in Ethical and Legal Aspects of Artificial Intelligence in Diagnostic Imaging contains the most complete and up-to-date scientific program on the market. The most important features include:

• The development of practical cases presented by experts in Artificial Intelligence applied to Diagnostic Imaging
• 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 examine fundamental ethical principles, such as data privacy, fairness in access to AI, and transparency in algorithms, with particular attention to the impact on patients”

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, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.

You will be part of the most up-to-date discussions on the ethical and legal implications of Artificial Intelligence in the medical field, supported by the revolutionary Relearning methodology"

Learn about the regulations on the transparency of algorithms in the field of Artificial Intelligence applied to Diagnostic Imaging, thanks to a large library of innovative multimedia resources"

The content of this Postgraduate certificate has been carefully designed to provide professionals with the most current and relevant knowledge on the ethical considerations of Artificial Intelligence in clinical research, using tools such as Global Alliance for Genomics and Health (GA4GH). Therefore, throughout the program, cutting-edge didactic resources, such as interactive summaries, explanatory videos and self-assessment tests, will be available to enable graduates to acquire a comprehensive preparation. In addition, the flexible 100% online format will adapt to the physician's professional and personal responsibilities, facilitating seamless specialization.

You will master tools such as Duality SecurePlus, which will allow you to carry out secure data protection in research projects, ensure the efficient use of Artificial Intelligence in the medical field”

Module 1. Ethical and Legal Aspects of Artificial Intelligence in Diagnostic Imaging

1.1. Ethics in the Application of Artificial Intelligence in Diagnostic Imaging with Ethics and Algorithms Toolkit

1.1.1. Fundamental Ethical Principles in the Use of Artificial Intelligence for Diagnosis
1.1.2. Algorithmic Bias Management and its Impact on Diagnostic Fairness
1.1.3. Informed Consent in the Era of Diagnostic Artificial Intelligence
1.1.4. Ethical Challenges in the International Implementation of Artificial Intelligence Technologies

1.2. Legal and Regulatory Considerations in Artificial Intelligence Applied to Medical Imaging with Compliance.ai

1.2.1. Current Regulatory Framework for Artificial Intelligence in Diagnostic Imaging
1.2.2. Compliance with Privacy and Data Protection Regulations
1.2.3. Validation and Certification Requirements for Artificial Intelligence Algorithms in Healthcare
1.2.4. Legal Liability in Case of Diagnostic Errors due to Artificial Intelligence

1.3. Informed Consent and Ethical Aspects in the Use of Clinical Data

1.3.1. Review of Informed Consent Processes Adapted to Artificial Intelligence
1.3.2. Patient Education on the Use of Artificial Intelligence in their Medical Care
1.3.3. Transparency in the Use of Clinical Data for Artificial Intelligence Training
1.3.4. Respect for Patient Autonomy in Decisions Based on Artificial Intelligence

1.4. Artificial Intelligence and Accountability in Clinical Research

1.4.1. Assignment of Responsibilities in the Use of Artificial Intelligence for Diagnosis
1.4.2. Implications of Artificial Intelligence Errors in Clinical Practice
1.4.3. Insurance and Coverage for Risks Associated with the Use of Artificial Intelligence
1.4.4. Strategies for the Management of Incidents Related to Artificial Intelligence

1.5. Impact of Artificial Intelligence on Equity and Access to Health Care with AI for Good

1.5.1. Assessment of the Impact of Artificial Intelligence on the Distribution of Medical Services
1.5.2. Strategies to Ensure Equitable Access to AI Artificial Intelligence Technology
1.5.3. Artificial Intelligence as a Tool to Reduce Health Disparities
1.5.4. Case Studies on the Implementation of Artificial Intelligence in Resource-Limited Settings

1.6. Privacy and Data Protection in Research Projects using Duality SecurePlus

1.6.1. Strategies for Ensuring Data Confidentiality in Artificial Intelligence Projects
1.6.2. Advanced Techniques for Patient Data Anonymization
1.6.3. Legal and Ethical Challenges in the Protection of Personal Data
1.6.4. Impact of security breaches on public trust and confidence

1.7. Artificial Intelligence and Sustainability in Biomedical Research with Green Algorithm

1.7.1. Use of Artificial Intelligence to Improve Efficiency and Sustainability in Research
1.7.2. Life Cycle Assessment of Artificial Intelligence Technologies in Healthcare
1.7.3. Environmental Impact of Artificial Intelligence Technology Infrastructure
1.7.4. Sustainable Practices in the Development and Deployment of Artificial Intelligence

1.8. Auditing and Explainability of Artificial Intelligence Models in the Clinical Setting with IBM AI Fairness 360

1.8.1. Importance of Regular Auditing of AI Algorithms
1.8.2. Techniques to Improve the Explainability of AI Models
1.8.3. Challenges in Communicating AI-Based Decisions to Patients and Physicians
1.8.4. Regulations on the Transparency of Artificial Intelligence Algorithms in Healthcare

1.9. Innovation and Entrepreneurship in the Field of Clinical Artificial Intelligence with Hindsait

1.9.1. Opportunities for Startups in Artificial Intelligence Technologies for Healthcare
1.9.2. Collaboration Between the Public and Private Sectors in the Development of Artificial Intelligence
1.9.3. Challenges for Entrepreneurs in the Healthcare Regulatory Environment
1.9.4. Success Stories and Lessons Learned in Clinical Artificial Intelligence Entrepreneurship

1.10. Ethical Considerations in International Clinical Research Collaboration with Global Alliance for Genomics and Health with GA4GH

1.10.1. Ethical Coordination in International AI Projects
1.10.2. Managing Cultural and Regulatory Differences in International Collaborations
1.10.3. Strategies for Equitable Inclusion in Global Studies
1.10.4. Challenges and Solutions in Data Sharing

Thanks to this Postgraduate certificate, you will ensure regulatory compliance and professional responsibility in the use of advanced Artificial Intelligence tools in diagnostic imaging”