The objective of the program is for participants to understand the legal dimensions of liability for AI-assisted robots in modern medicine, the navigation of the legal landscape of artificial intelligence in healthcare: framework, challenges, and emerging legal issues, digital technology and AI applications in healthcare: opportunities and risks, the role of digital facial recognition and AI systems in forensic medicine, developments in AI and digital technologies for improved human-centric approaches in healthcare: the example of allergic rhinitis, the ethics of artificial intelligence, criminal liability in health-related AI, AI and pharmacovigilance, health data in the AI era: challenges and prospects, AI in drug discovery: ethical and bioethical issues, disease diagnosis using algorithms, elderly care and brain health in the age of AI, legal liability of medical AI systems: who is responsible when AI makes mistakes?, improving health equity through AI, AI and big data, AI in the prevention of surgical complications and sentinel events, smart hospitals: challenges and opportunities, the impact of AI on healthcare insurance, digital health in chronic diseases powered by AI and Information and Communication Technology (ICT), mental sovereignty and consciousness in the age of AI, transhumanism, and post-humanism.

Upon completion of the program, participants will acquire interdisciplinary knowledge in the field of digital technologyand artificial intelligence in healthcare, as well as an understanding of the bioethical issues arising in relation to thesefields.

Graduates of Law, Medicine, Engineering, Informatics, Theology, etc.

Students of the corresponding faculties

Interested parties submit an application online on the website of the Center for Training and Lifelong Learning of the Aristotle University of Thessaloniki.

Applications for participation can be submitted by:

Graduates of Law, Medicine, Engineering, Informatics, Theology, etc.

Students of the corresponding faculties

In person (with the option of remote attendance)

Navigating the Legal Landscape of AI in Healthcare: Framework, Challenges, and Emerging Legal Issues (2 hours)

Legal Dimensions of Liability for AI-Supported Assistant Robots in Modern Medicine (2 hours)

Digital Technology and AI Applications in Healthcare: Opportunities and Risks (2 hours)

The Role of Digital Facial Recognition and AI Systems in Forensic Medicine (2 hours)

Workshop: Developments in AI and Digital Technologies for improved human-centric approaches in healthcare: the allergic rhinitis example (2 hours)

The ethics of AI (2 hours)

Criminal Liability in Health -related AI (2 hours)

 ΑΙ and Pharmacovigilance (2 hours)

Workshop: Health data in the AI Era: Challenges and prospects (2 hours)

AI in drug discovery. Ethical & bioethical concerns (2 hours)

Regulation (EU) 2025/327 on the European Health Data Space: Ethical Implications (2 hours)

Elderly Care and Brain Health in the age of AI (2 hours)

Legal Liability of Medical AI Systems: Who is Responsible When AI Makes Mistakes? (2 hours)

Improving Health Equity Through AI (2 hours)

AI and Big Data (2 hours)

AI in the prevention of surgical complications and sentinel events (2 hours)

Workshop: Smart Hospitals: Challenges and opportunities (2 hours)

The Impact of AI on Healthcare Insurance (2 hours)

Digital health in chronic diseases powered by AI and Information and Communication Technology (ICT) (2

hours)

Mental Sovereignty and Consciousness in the Age of AI, Transhumanism, and Post-humanism (2 hours)

Participants are provided with: course summaries in PDF format, accompanying PowerPoint presentations, recommended bibliography, links to selected online resources, etc.

A. Trainee Obligations:

1. Participation in the KEDIVIM AUTH programs implies full acceptance of the program’s Study Guide and the Internal Operating Regulations of KEDIVIM AUTH .
2. The presence of trainees in educational programs is mandatory. In programs implemented in person, as well as in those implemented using the modern distance learning method, attendance is generally mandatory and the absence limit cannot exceed 10% of the scheduled training hours. The attendance of asynchronous education is implemented according to the study schedule defined by each program.
3. To successfully complete the program, participants must:
4. the percentage of absences should not exceed 10% of the scheduled training hours,
5. have successfully completed the prescribed examination,
6. have paid the full tuition fees by 31.5.2026

B. Trainee Rights:

1. Trainees are informed by the Administrative Support Department of KEDIVIM about any kind of information related to the operation of the Center.
2. Trainees are supported electronically through the educational platform by their instructors , within the framework of the educational process, to resolve questions and provide clarifications related to the thematic modules of the program.
3. Trainees have the right to request the interruption of the program and the refund of tuition fees, in accordance with the provisions of article 12.9 of the Internal Operating Regulations of KEDIVIM AUTH .
4. The work of the trainees is protected under intellectual property provisions.

After successful completion of the program, participants are awarded a Certificate of General Training, which is issued by the Center for Training and Lifelong Learning of the Aristotle University of Thessaloniki and signed by the President of KEDIVIM.

Participants who attended, but did not complete the entire program, have the option of being provided with a Certificate of Attendance.

For more information, interested parties can contact her/him at the contact details below.

Name: Kalliopi Kipouridou

Phone: 6973379481

Contact hours: working days 9:00-17:00

Email : medlawlab.auth@gmail.com