The morning program opens with Prof. Abdulla Shehab (UAE) presenting on AI-supported risk prediction in hypertension using home and wearable blood pressure monitoring, followed by an international session on converting out-of-office BP data into AI-guided treatment decisions. The agenda then moves to evidence-based pharmacologic strategies linking risk scores to cardiovascular disease prevention, and Dr. Mohamed Amin (MKCC) discusses wearable ECG technology and AI applications in arrhythmia detection. After a brief discussion, the session transitions to the Opening Ceremony and concludes with a keynote lecture by Dr. Andrew W. Taylor Robinson (USA) on developing AI-driven healthcare systems.

The session opens with Dr. Dalal Al Rumaihi and Dr. Nesreen Alsayed discussing the transition from finger-stick testing to AI-powered smart technologies in modern diabetes care. Dr. Hussien Taha then presents on AI-guided personalized pharmacotherapy for diabetes and obesity management, followed by Dr. Ebtihal Al Yusuf highlighting AI-enabled continuous glucose monitoring and automated insulin support. Dr. Aseel Alsaleh addresses digital tools and AI-supported nutrition and lifestyle coaching to improve adherence and outcomes. After a brief discussion, the program proceeds to the Industrial Symposium.

The afternoon session begins with Dr. Mohamed Al Madfaa (Chicago, USA) sharing real-world clinical experience on integrating AI into radiology practice, alongside a Zoom contribution from Dr. Amna Kahgari (KSA). Dr. Nawal Alhamar (SMC) then presents on AI-driven automation in chest imaging for detection and triage. The program continues with sessions on AI-enhanced abdominal imaging and AI-based prediction of hepatocyte health states, followed by Dr. Tim Jobson (UK) and Dr. Mai Mattar discussing improvements in musculoskeletal imaging through AI-assisted detection and reporting efficiency. After a discussion, the agenda moves to the Industrial Symposium and concludes with a keynote lecture.

The late-afternoon program opens with sessions on AI-supported emergency triage and early detection of patient deterioration in acute care settings. Prof. Jameela Alsalman then presents on AI-enabled personalized antibiotic therapy and therapeutic monitoring in the ICU. The agenda transitions to Main Hall Session V, which focuses on ethics, regulation, and equity, featuring Dr. Barry Solaiman (Qatar) discussing ethical, safety, and regulatory considerations for AI at the point of care, Prof. Adel Bouhoula (AGU) explaining core AI concepts and safe deployment strategies, and Dr. Yusuf Alnawakhtha addressing patient privacy in the post-quantum era. The day concludes with Day I Take-Home Messages.

The workshop on AI in ECG Interpretation: Clinical Applications and Pitfalls will highlight how AI supports ECG analysis in clinical practice, including rhythm detection and diagnostic assistance. It will also address limitations, potential errors, and key pitfalls, emphasizing the importance of clinical judgment and validation when using AI tools.

The workshop on Using AI in Clinical Research: From Study Design to Real-World Data will explore how AI enhances research workflows, from protocol development and data analysis to leveraging real-world evidence. The session will emphasize practical applications, methodological considerations, and best practices for ensuring validity, reliability, and ethical use of AI in research.

The workshop on AI in Healthcare will provide an overview of how artificial intelligence is transforming clinical practice, operations, and patient care. It will highlight key applications, implementation considerations, and challenges, emphasizing safe, ethical, and effective integration into healthcare systems.