6-10 October 2024 • MARRAKESH / MOROCCO



Welcome to CLINICCAI
Clinical Translation of Medical Image Computing and Computer Assisted Interventions

Dear Colleagues,

It is a great pleasure to invite you to the fourth edition of CLINICCAI, a MICCAI event dedicated to healthcare practitioners willing to discuss their research on the translational and clinical aspects of medical image computing, computer-assisted interventions, and medical robotics.

The Medical Image Computing and Computer Assisted Intervention Society (the MICCAI Society) is a leading community of biomedical scientists, engineers, and clinicians working on advances in the methodology and applications of these fields since 1998. Recent methodological improvements and new clinical applications enabled by breakthroughs in medical imaging, deep learning and other AI techniques motivated MICCAI to create a clinical day to reinforce its clinical ties and explore further how to generate value for patients and healthcare systems.

The fourth edition of CLINICCAI will be a fantastic opportunity for healthcare practitioners to share their translational research experiences, discuss needs with biomedical researchers with diverse backgrounds, network and become active members of the growing MICCAI community. The event will take place in parallel to MICCAI 2024, allowing participants to explore and get inspired by the other scientific sessions, workshops and social happenings of the biomedical conference.

MICCAI will take place from October 6th to 10th, 2024, at the Marakesh Palmeraie Convention Centre, Morocco, and CLINICCAI will be held on October 8th. This will be the first time that CLINICCAI will be hosted in Africa.

Works to be presented will be selected based on an abstract submission evaluated by an international committee of physicians actively working in the field of clinical translation.

We look forward to welcoming you at CLINICCAI!


Topics of interest to CLINICCAI include, but are not limited to:

  • Digital patient and pathology
  • Computer aided diagnosis
  • Predictive modelling of risks, diseases and patients' outcomes
  • Advanced preoperative planning and surgical guidance
  • Image-guided interventions
  • Immersive technologies in surgery (mixed, augmented and virtual reality)
  • Technologies to enhance patient safety and quality improvement
  • Video-based assessment of surgical procedures
  • Clinical decision support systems
  • Automated skill assessment
  • Big data analytics in healthcare
  • Ergonomics and human factors in surgery
  • Team dynamics assessment
  • Surgical data science
  • Medical education and training using technology
  • Digital surgery
  • Healthcare robotics
  • Virtual reality simulators
  • Surgical coaching
  • Serious gaming for training
  • Hospital and OR management systems
  • Device and strategies for OR translation
  • Personalized medicine and precision healthcare
  • Health information technology interoperability




CLINICCAI will consider original works focusing on the preclinical or clinical translation of medical image computing, computer-assisted interventions, and healthcare robotics. Submissions should be original, written in standard English, and limited to a maximum of 600 words. The first and presenting author should be a healthcare practitioner.

  • Full title: The title should be concise, specific, and informative. Please limit the length of the title to 150 characters. Whenever possible include study type (e.g., first-in-animal, first-in-human, clinical trial, etc.).
  • Authors: The first author should be the healthcare practitioner presenting at CLINICCAI.
  • Affiliations: Please limit the affiliations to 2 per author.
  • Presenting author: Please provide the full name, affiliation, and contacts (email, phone number) of the presenting author.
  • Keywords: Please provide 3-5 keywords.
  • Key information: Please to 100 words.
    • Research question: aim based on the study hypothesis or goal/purpose.
    • Findings: results focused on primary outcome(s) and finding(s).
    • Meaning: key conclusion and implication.
  • Manuscript: Please limit to 600 words.
    • Introduction: Please summarize the context, the addressed clinical need, the hypothesis, and aim of your work.
    • Material and methods: Please include a description of the device (development, performance, etc.) being tested, the experimental setting, study outcomes, and analysis.
    • Results: Please avoid referencing results not yet available at the time of submission. Tables, pictures, and illustrations should be in a separate page at the end of the manuscript.
    • Discussion and Conclusion: Please emphasize new and important findings and aspects of the study, and the conclusions to be drawn, focusing on the potential to impact clinical care. Include the limitations and propose improvements whenever possible.
  • References: A total of 10 references following the AMA style (10thed).
  • Disclosures: Please explicit any potential conflict of interest handled during the work


Call for abstracts
January 31, 2024
Abstract submission deadline
23:59 CET, April 29, 2024
23:59 CET, June 21, 2024
Camera ready abstracts
23:59 CET, July 14, 2024
CLINICCAI conference
October 8, 2024


Udunna Anazodo, PhD

Udunna Anazodo, PhD

Udunna Anazodo, PhD, Assistant Professor in the Department of Neurology and Neurosurgery, is also a member of the Neuroimaging and Neuroinformatics research group at The Neuro (Montreal Neurological Institute, McGill University). Her research focuses on positron emission tomography (PET) and magnetic resonance imaging (MRI) techniques to detect subtle and early changes in brain function, physiology and neurochemistry. She is the founder and Chair of the Consortium for Advancement of MRI Education and Research in Africa (CAMERA), a global network of MRI experts working to establish sustainable access to high-value MRI in Africa through local capacity building.


Program Chairs
Joël L. Lavanchy, MD
Clarunis, University Digestive Health Care Center, Basel, Switzerland
Mariam Aboian, MD PhD
Yale University, New Haven, USA
Idriss Ahmedou, MD
University of Nouakchott, Nouakchott, Mauritania
Sandrine De Ribaupierre, MD
Western University, London, Canada
Bassma Elsabaa, MD PhD
Alexandria University, Alexandria, Egypt
Daniel A. Hashimoto, MD MSc
University of Pennsylvania, Philadelphia, USA
Abdourahmane Ndong, MD
Gaston Berger University, Saint-Louis, Senegal
Nicolas Padoy, PhD
University of Strasbourg & Institute of Image-Guided Surgery, IHU Strasbourg, France
Saad Slimani, MD
University Hassan II & Deepecho, Casablanca, Morocco
Juan Verde, MD
Institute of Image-Guided Surgery, IHU Strasbourg, France
Joe Yeong, MD
Singapore General Hospital, IMCB, A*STAR, Singapore
Program Committee
  • Maria Altieri, MD
  • Regina Beets-Tan, MD PhD
  • Ivo Boskoski, MD PhD
  • Jason Chan Chan, MD
  • Pieter De Backer, MD PhD
  • Simone Famularo, MD
  • Jurgen Fütterer, MD PhD
  • Alain Garcia, MD
  • Ryan Harari, PhD
  • Fiona Kolbinger, MD
  • Pietro Mascagni, MD PhD
  • Amin Madani, MD PhD
  • Duygu Sarikaya, PhD
  • Barbara Seeliger, MD PhD
  • Vince Vardhanabhuti, MD
  • Swaroop Vedula, MD PhD
  • Marco Zenati, MD
  • Inti Zlobec, PhD