Workshops
Discover cutting-edge radiology workshops at WHX, tailored to advance skills, share innovations, and shape the future of medical imaging.
The Path to A Brighter Future - AI in Healthcare Interactive Workshop 2026
📅 9 February 2026
🕒 2:00 - 4:30 pm
Overview
This workshop brings together clinical, technical, and operational perspectives to explore how artificial intelligence is transforming modern medicine. Through four focused presentations, participants will gain insights into building smart hospitals that integrate AI into infrastructure and workflows, and discover real-world AI innovations across different clinical scenarios. These sessions will highlight how AI enhances clinical decision-making, improves operational efficiency, and supports precision diagnosis and personalized treatment. The workshop concludes with an interactive panel discussion on “AI in Healthcare,” addressing broader and timely questions such as key challenges of deploying AI across diverse clinical scenarios. Designed for healthcare professionals, administrators, researchers, and industry partners, this workshop aims to bridge strategy and practice, offering a balanced view of AI’s current capabilities, limitations, and future potential in healthcare.
Learning objectives
- Understand the role of AI in modern hospitals.
- Explore practical AI applications in different clinical scenarios.
- Evaluate the clinical and operational impact of AI-driven innovations.
- Identify key challenges in AI deployment, including data, regulation, and workflow integration.
- Discuss the future of AI–clinician collaboration and its implications for healthcare delivery.
Facilitators
Prof. El Fakir
Nakhil Radiology Center
Prof. Jing Ding
Professor and Doctoral Supervisor, Department of Neurology, Zhongshan Hospital, Fudan University
Prof. Ludhmila Abrahão Hajjar
Full Professor of Emergency Medicine, Faculty of Medicine, University of São Paulo (FMUSP)
Prof. Pengcheng Hu
Professor, Department of Nuclear Medicine Zhongshan Hospital, Fudan University
Xuliang Deng - Dean
Peking University School and Hospital of Stomatology
Prof. Rong Li
Peking University Third Hospital
Beyond the Image: The New Era of Quantitative Ultrasound in MASLD
📅 10 February 2026
🕒 11 am- 1 pm
Overview
The multimodal ultrasound approach offers superior clinical confidence by correlating multiple biomarkers in a single examination. This transition from qualitative to quantitative imaging positions ultrasound as the frontline modality for the early detection, risk stratification, and longitudinal management of MASLD patients. This session explores the evolution of Ultrasound from a subjective screening tool to a quantitative, multimodal platform. We focus on how integrated technologies, Attenuation Imaging (ATI), Shear Wave Elastography (SWE), and Dispersion Imaging (SWD), provide a comprehensive, non-invasive "one-stop-shop" for assessing steatosis, fibrosis, and inflammation.
Learning objectives
- Differentiate MASLD Phenotypes: Master the clinical shift from NAFLD to MASLD and identify the specific roles of steatosis, fibrosis, and inflammation in disease progression.
- Quantify Steatosis with ATI: Implement Attenuation Imaging (ATI) to provide objective, standardized fat quantification that overcomes the limitations of traditional B-mode "bright liver" assessment.
- Stage Fibrosis via Shear Wave: Utilize 2D Shear Wave Elastography (SWE) to accurately measure liver stiffness and categorize fibrosis stages (F0–F4) with high reproducibility.
- Evaluate Inflammation through Dispersion: Explore the clinical utility of Shear Wave Dispersion (SWD) as a non-invasive surrogate marker for tissue viscosity and necroinflammatory activity (MASH).
- Optimize Multiparametric Workflow: Integrate these biomarkers into a single, unified clinical report to enhance diagnostic confidence and facilitate long-term patient monitoring.
Facilitator
Kamal Hachem
Proffesor - Head of Medical Imaging Department at Hôtel-Dieu de France University Hospital
Samsung AI Symposium – Radiology
📅 11 February 2026
🕒 11:00 - 11:45 am
Overview
Early Detection is Key: Advanced Comprehensive Liver Analysis using Samsung AI Ultrasound
Learning objectives
Leveraging Samsung’s next-generation liver assessment technologies for precise and early diagnosis:
Facilitator
Vito Cantisani
Proffesor - Department of Radiological Sciences
Samsung AI Symposium – Fetal Heart
📅 11 February 2026
🕒 12:00 - 12:45 pm
Overview
An Approach to Fetal Heart Ultrasound Examination
Learning objectives
Understand the role of AI in enhancing accuracy and consistency in fetal anomaly detection. Explore Samsung’s AI-enabled fetal imaging tools, including live view assist, Biometry Assist™, Heart Assist™, and Intelligent Fetal Profile solutions.
Facilitator
Dr Hisham Mohamed Mirghani Mubarak
UK