Evening programme
Exclusive grand opening gala
Gala dinner for sponsors and speakers
Music programme
Sponsor and speaker registration
Welcome drinks
Networking event
Programme
Three days of clinical insight, emerging technology, and serious discussion about how artificial intelligence is changing medicine - from diagnosis and therapy to healthcare systems and the patient experience.
The original bilingual programme is available as a downloadable PDF.
3 days
2 halls
Sava Center, Belgrade
Programme
Browse every confirmed session by day and hall, including keynote talks, clinical tracks, panels, and programme breaks.
01 / Friday
Opening programme for sponsors and speakers
Evening programme
Gala dinner for sponsors and speakers
Music programme
Sponsor and speaker registration
Welcome drinks
Networking event
02 / Saturday
A two-hall clinical programme spanning medicine, technology, and human experience
09:00 - 09:10
Opening address
Faculty: Dr Daniel Kraft
09:10 - 10:10
Moderator Dr Dušan Damjanović
09:10 - 09:20
The AI Revolution in Cancer Imaging: Can We Reimagine Personalized Cancer Care?
Faculty: Prof. Dr Despina Kontos
09:20 - 09:50
The Contribution of AI to New Imaging Technologies and Specific Sequences
Faculty: Dr Dušan Damjanović, Dr Ana Petković, Dr Petar Milenković
09:50 - 10:00
AI as an Assistant in Pulmonoradiology
Faculty: Dr Nikola Čolić
10:00 - 10:10
Discussion
10:10 - 11:10
Moderator Prof. Dr Aleksandar Vuksanović
10:10 - 10:20
Beyond PI-RADS: Advanced MRI Techniques in Prostate Disease Diagnosis - Multiparametric MRI, Radiomics and AI
Faculty: Dr Dragan Vasin
10:20 - 10:40
Towards Precision Diagnosis and Personalized Treatment of Urolithiasis: The Emerging Role of Dual-Energy CT and AI in Clinical Practice
Faculty: Prof. Dr Otaš Durutović, Dr Miona Jevtović
10:40 - 10:50
Application of AI in Urology - Present and Future
Faculty: Prof. Dr Vladimir Bančević
10:50 - 11:00
Fusion Biopsy of the Prostate in the Era of Artificial Intelligence
Faculty: Doc. Dr Uroš Bumbaširević
11:00 - 11:10
Discussion
11:10 - 11:30
Coffee break
11:30 - 12:40
Moderator Dr Ognjen Gudelj
11:30 - 11:40
AI in Risk Assessment for Ischemic Heart Disease
Faculty: Prof. Dr Nemanja Đenić
11:40 - 11:50
AI in Cardiovascular Imaging
Faculty: Prof. Dr Marija Zdravković
11:50 - 12:00
TAVI and AI
Faculty: Doc. Dr Milorad Tešić
12:00 - 12:10
Assessing the Risk of Sudden Cardiac Death Using AI
Faculty: Dr Nikola Radovanović
12:10 - 12:20
Application of AI in Remote Monitoring of Patients with Implantable Cardiac Electronic Devices
Faculty: Dr Nemanja Branković
12:20 - 12:30
AI Stratification in Heart Failure
Faculty: Prof. Dr Nenad Filipović
12:30 - 12:40
Discussion
12:40 - 12:55
Coffee break
12:55 - 13:40
Plenary session
13:40 - 15:00
Moderator Dr Branko Milovanović
13:40 - 14:10
The AI and Digitally Enabled Future of Health & Medicine: What Is Now, Near & Next
Faculty: Dr Daniel Kraft
14:10 - 14:40
Your AI Prescription
Faculty: Dr Bertalan Meskó
14:40 - 15:00
Discussion
15:00 - 15:45
Lunch
15:45 - 16:05
Plenary session
16:05 - 16:55
Moderator Milan Simić
16:05 - 16:15
The Human Side of AI: How AI Is Transforming the Doctor-Patient Relationship
Faculty: Milan Simić, Country Manager at Nortal
16:15 - 16:25
AI Is Changing Healthcare in Remarkable Ways
Faculty: Aleksandar Bakić
16:25 - 16:35
Can AI Help Physicians?
Faculty: Bojan Kisić, NITES CEO
16:35 - 16:45
How AI Is Reshaping the Human Experience of Healthcare
Faculty: Višnja Radoš
16:45 - 16:55
Discussion
16:55 - 17:15
Plenary session
17:15 - 17:45
Moderator Prof. Petar Svorcan
17:15 - 17:25
AI in Gastroenterology: Friend or Competitor?
Faculty: Prof. Dr Aleksandra Pavlović Marković
17:25 - 17:35
Prediction of Fistula Finding by AI in Pancreatic Surgery
Faculty: Prof. Dr Nikica Grubor
17:35 - 17:45
Discussion
17:45 - 18:05
Plenary session
18:05 - 18:55
Moderator Kristina Janić
18:05 - 18:45
AI in the Development of Longevity and Remote Cardiac Rhythm Monitoring
Faculty: Dr Dean Berman, Romina Papalamprou, Ian Van Den Haviland, Dr Gordana Rajović
18:45 - 18:55
Discussion
10:30 - 11:10
Moderator Psihoterapeut Jugoslava Zajić
10:30 - 10:40
From Clinical Practice to Digital Solution: Creating a Systems-Based AI Platform Approach
Faculty: Psihoterapeut Jugoslava Zajić
10:40 - 10:50
The Problem of AI and Precision: Examples of Good Practice
Faculty: Prof. Dr Goran Zajić
10:50 - 11:00
AI as Support for People with Addiction: A Modern Therapeutic Approach
Faculty: Pedagog Neda Rackov
11:00 - 11:10
Integrating AI Technologies into Gestalt Psychotherapy: Boundaries Between Contact and Relationship Simulation
Faculty: Psihoterapeut Marija Bulatović
11:10 - 11:30
Coffee break
11:30 - 12:50
Moderator Psihoterapeut Jugoslava Zajić
11:30 - 11:40
The Role of AI in Digital Violence Among Minors
Faculty: Dr pravnih nauka Boro Merdović
11:40 - 11:50
From Brain to Digital Footprint - AI as a Bridge to Personalized Psychiatry
Faculty: Prof. Dr Ana Starčević
11:50 - 12:00
The Market for Dietary Supplements and AI
Faculty: Igor Špadijer
12:00 - 12:10
AI in the World of Supplements: Between Science and Marketing
Faculty: Živana Špadijer
12:10 - 12:20
AI as the New Trainer's Assistant: How AI Is Changing Training, Nutrition and Athlete Progress Tracking
Faculty: Vuk Ranković
12:20 - 12:30
AI - Help and/or Hindrance to Therapists in Addiction Treatment
Faculty: Specijalni pedagog Dragoljub Jovanović
12:30 - 12:50
Discussion
03 / Sunday
Clinical science, implementation, ethics, and the future of healthcare
09:00 - 09:30
Moderator Prof. Dr Zoran Todorović
09:00 - 09:10
Decoding the Code of Life: AI-Driven Drug Discovery and the End of Traditional Preclinical Research
Faculty: Prof. Dr Marko Stojanović
09:10 - 09:20
Ethical Aspects of the Application of AI in Medicine
Faculty: Prof. Dr Zoran Todorović
09:20 - 09:30
Discussion
09:30 - 09:45
Plenary session
09:45 - 10:25
Moderator Dr Filip Vitošević
09:45 - 09:55
Anesthesia and Intensive Care in the AI Millennium: Tomorrow in the ICU
Faculty: Doc. Dr Goran Rondović
09:55 - 10:05
AI and Stroke: From Faster Diagnosis to More Effective Therapy
Faculty: Dr Filip Vitošević
10:05 - 10:15
AI in Brain White Matter Hyperintensity Analysis: From Neuroimaging Biomarkers to Brain Health
Faculty: Prof. Dr Ana Starčević
10:15 - 10:25
Discussion
10:25 - 11:05
Moderator Dr Sanja Radojević Škodrić
10:25 - 10:35
Digitization of Pathology - A Broader Picture Than Just Scanning
Faculty: Dr Amela Dacić
10:35 - 10:45
AI in the Diagnosis and Pathology of Wilms Tumor: From Radiological Assessment to Digital Pathology
Faculty: Doc. Dr Gorana Nikolić
10:45 - 10:55
AI in Support of the Pathologist: Significance and Organization
Faculty: Doc. Dr Maja Životić
10:55 - 11:05
Discussion
11:05 - 11:20
Coffee break
11:20 - 11:40
Plenary session
11:40 - 12:10
Moderator Doc. Dr Milan Savić
11:40 - 11:50
AI and Lung Cancer: The End of Diagnostic Dilemmas or the Beginning of New Ones?
Faculty: Doc. Dr Mihailo Stjepanović
11:50 - 12:00
Digital Transformation in Thoracic Surgery: AI in the Preoperative Period
Faculty: Dr Željko Garabinović
12:00 - 12:10
Discussion
12:10 - 13:00
Moderator Vuk Đenić
12:10 - 12:20
From Statistical Performance to Clinical Utility: Interpreting Machine Learning Prediction Models in Medicine
Faculty: Dr Marina Popović Krneta
12:20 - 12:30
The Application of Omics Methods in Predicting Treatment Response in Locally Advanced Rectal Cancer
Faculty: Dr Mladen Marinković
12:30 - 12:40
Can Synthetic Patients Replace Real Clinical Data?
Faculty: Dr Vedrana Pavlović
12:40 - 12:50
Kampster AI: The Future of Medical Education in the Age of AI
Faculty: Miloš Jovanović
12:50 - 13:00
Discussion
13:00 - 13:45
Lunch
13:45 - 14:15
Plenary session
14:15 - 15:20
Moderator Dr Ognjen Gudelj
14:15 - 14:45
Serbia in the AI-Driven Future of Medicine in 2035
Faculty: Dr Ognjen Gudelj, Dr Branko Milovanović, Vuk Đenić
14:45 - 15:00
How Will You Shape the Future of Health?
Faculty: Nenad Bučevac, EY Business Transformation Manager
15:00 - 15:20
Discussion
15:20 - 15:50
Moderator Darija Kisić Tepavčević
15:20 - 15:50
Closing panel discussion
Faculty: Dr Daniel Kraft, Dr Bertalan Meskó
Programme details are subject to change. The latest published information will always appear on this page and in the downloadable PDF.