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Welcome to AI MedTech International Conference 2026

Integrating Intelligence into Medical Technology and Clinical Care, with focus areas including AI in Cardiology, AI in Oncology, AI in Medicine and Pharmacy, AI in Interventional Medicine and Radiology Imaging, and AI in Digital Health.

Pafos, 17-20 March - 2026

At the AI MedTech International Conference 2026 (AI MedTech 2026)Integrating Intelligence into Medical Technology and Clinical Care, with focus areas including AI in Cardiology, AI in Oncology, AI in Interventional Medicine and Radiology, and AI in Digital Health — we are committed to advancing the transformative potential of Artificial Intelligence (AI) across Medicine, Healthcare Systems, Medical Research, and the Medical Technology Industry.

The conference serves as a catalyst for new R&D innovations in Biomedical Engineering, Bioinformatics, and Health Data Computing and Analytics, fostering collaboration between clinicians, engineers, data scientists, and technology developers. Participants will explore the latest breakthroughs in AI-driven systems, including Multi-Agent AI Architectures, Large Language Models (LLMs), Generative AI, Explainable AI (XAI), and Predictive AI, all designed to enhance diagnostic accuracy, optimize clinical workflows, and ultimately improve patient outcomes while ensuring safety, transparency, and ethical AI deployment in healthcare.

Aliathon Resort - Hotels

Welcome Invitation Letter

Dear colleagues, Dear friends,
It is with great pleasure that I invite you to the 1st AI MedTech International Conference, which will take place from March 18 to 20, 2026, in the beautiful coastal city of Paphos, Cyprus.

This 1st edition marks the beginning of a new scientific journey — one dedicated to exploring how Artificial Intelligence is reshaping Medicine, Medical Technology, and Clinical Care. Our mission is to create a space where innovation meets collaboration, bringing together clinicians, engineers, data scientists, industry experts, and researchers from around the world. Throughout the conference, we will explore the integration of AI into key medical fields, including:

1.AI in Cardiology
2.AI in Oncology

3.AI in Medicine and Pharmacy
4.AI in Interventional Radiology and Medical Imaging
5.AI in Digital Health

The program will feature cutting-edge keynote lectures, specialized sessions, hands-on workshops, and interactive discussions. Topics will include AI-driven clinical decision support, multi-agent AI systems, Large Language Models (LLMs), Generative and Explainable AI (XAI), predictive analytics, and data-driven medical innovation. Together, we will discuss how these technologies can enhance clinical outcomes while
ensuring safety, transparency, and ethical implementation. Our focus is not only on excellence and innovation, but also on ethical responsibility,
patient safety, transparency, and real-world impact.


Beyond the knowledge and collaboration, the conference setting itself holds its own inspiration. Paphos — a place where ancient history meets the tranquility of the Mediterranean — offers an exceptional backdrop for meaningful connection, reflection, and shared discovery. The Aliathon Resort hotel will host our community in an environment that balances scientific intensity with comfort and enjoyment.
We warmly invite you to join us for this landmark first edition — a gathering where science, technology, and human connection create the foundation for the future of intelligent medicine.

We look forward to welcoming you to Paphos in March 2026.


With kind regards,

Dr. George Malietzis, MD, FRCS, CCT
Medical Officer & Head of Medical Committee
AI MedTech International Conference 2026
Aliathon Resort – Paphos, Cyprus

AI MEDTECH 2026 International Conference

AI-MEDTECH 2026 - Scientific Topics &

Research Areas- Workshops

*CME-eligible workshops (Workshops 1-6)

“Workshops are educational and skills-focused sessions. Their CME eligibility is clearly indicated where applicable.”

Track-Session 1: AI in Cardiology & ECG Signal Processing & Wearable Devices

AI, Machine Learning, Deep Learning & Reinforcement Learning for Cardiac Data

Track-Session 2: AI in Oncology & Biomedical Image Processing 

GenAI & AI Radiomics for Cancer Detection

Track-Session 3: AI in Medicine & Pharmacy 

Predictive AI for Drug Discovery and Precision Therapy

Track-Session 4: AI in Interventional Radiology & Medical Imaging 

Explainable AI for Clinical Guidance

Track-Session 5: AI in Digital Health

AI APIs, Federated Data & IoMT Security Systems

Track-Session 6: AI in Medical-Clinical Interventions, Surgeries & Diagnostics

Translational AI in Cardiology, Oncology & Radiology

Industry & Innovation Forum 7: Medical-Health Industries & R&D Startups in AI Health-Medical Technologies

*Non-EACCME EUMS Accredited | Industry & Innovation Activity

Exhibitors Presenting AI Medical Technologies and Devices

Frequently Asked Questions

How does AIMedTech's AI Medical Diagnostics service work?

AIMedTech's AI Medical Diagnostics service uses advanced algorithms to analyze medical imaging and provide accurate diagnoses quickly and efficiently.

What are the benefits of using Virtual Health Assistants from AIMedTech?

Virtual Health Assistants from AIMedTech offer personalized care and support to patients, enhancing their healthcare experience and engagement.

How can Data Analytics Solutions from AIMedTech help healthcare organizations?

Data Analytics Solutions from AIMedTech help healthcare organizations make informed decisions by analyzing data to identify trends and improve operational efficiency.

AIMedTech's AI solutions have revolutionized the way we approach Personal Patient care and Clinical Diagnostics. 

 

Contact us

Feel free to reach out to us with any inquiries or info regarding the AI-MEDTECH 2026 International Conference.

You may directly send your request at:

info@ai-medtech.eu

info@successhub.solutions

 

About us

AIMedTech is a cutting-edge AI technology Conference Organizer  based in Paphos, Cyprus, specializing in revolutionizing the healthcare industry and events. Our mission is to improve patient outcomes, streamline healthcare processes, and drive innovation through the power of artificial intelligence.