29th INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING
AND COMPUTER ASSISTED INTERVENTION
4-8 OCTOBER 2026ADNEC CENTRE/ABU DHABI

CLINICAL DAY (CLINICCAI)

CLINICCAI 2026

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


CALL FOR ABSTRACTS

You are kindly invited to submit your translational research in medical image computing, computer-assisted intervention, and healthcare robotics for presentation at CLINICCAI, a clinician-centered event at the 29th edition of the annual MICCAI conference.

The International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) annually hosts over 3,000 biomedical scientists discussing cutting-edge methods and applications in medical imaging and computer-assisted intervention. The sixth edition of CLINICCAI (Clinical Translation of Medical Image Computing and Computer-Assisted Interventions) at MICCAI 2026 aims to attract healthcare practitioners interested in discussing how recent methodological breakthroughs in medical imaging, 3D printing, robotics, deep learning, and other techniques can translate into value for patients and healthcare systems. One of the main themes of this MICCAI event is "Clinical Translation Empowered MICCAI", and there will be many important sessions focused on the clinical translation of new technologies in the main MICCAI.

The event will take place in Abu Dhabi, United Arab Emirates, on the 6th October 2026. While participating in CLINICCAI, healthcare practitioners are invited to explore the main conference program (October 4-8, 2026) and get inspired by the scientific sessions, workshops, and social activities of the broader biomedical conference.

Healthcare practitioners involved in multidisciplinary research teams or start-ups are strongly encouraged to submit original work focusing on preclinical or clinical translation.

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

  • AI and other techniques for medical image analysis
  • Image-guided intervention and surgery
  • Surgical data science
  • Digital pathology
  • Computer-aided diagnosis
  • Predictive modeling of risks, diseases, and patient outcomes
  • Preoperative planning and surgical guidance
  • Immersive technologies in radiology and surgery (mixed, augmented, and virtual reality)
  • Video-based assessment of surgical procedures
  • Medical Foundation Models
  • Clinical decision support systems

Abstracts of no more than 600 words should be submitted via the Microsoft CMT platform by April 15, 2026, according to the guidelines available on the website. Submissions will be reviewed by physicians from the CLINICCAI committees, and authors will be notified of decisions by May 31, 2026.

Presenting authors must be healthcare practitioners who commit to registering for the conference and traveling to Abu Dhabi. All presentations will compete for the CLINICCAI Best Presentation Award, to be announced at the end of the event.

Following the event, selected abstracts will be invited to be extended into full-length manuscripts for submission to a peer-reviewed journal.

Regards
CLINICCAI Committee


SUBMISSION GUIDELINES

SCOPE

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.

BRIEFLY
ABOUT THE FORMAT
  • 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: State the aim based on the study hypothesis or goal/purpose
    • Findings: Present results focused on primary outcome(s) and finding(s).
    • Meaning: Provide key conclusions and implications.
  • 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 on 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 (10th ed.).
  • Disclosures: Please explicitly state any potential conflict of interest handled during the work.

TOPICS OF INTEREST

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

  • AI and other techniques for medical image analysis
  • Image-guided intervention and surgery
  • Surgical data science
  • Digital pathology
  • Computer-aided diagnosis
  • Predictive modeling of risks, diseases, and patient outcomes
  • Preoperative planning and surgical guidance
  • Immersive technologies in radiology and surgery (mixed, augmented, and virtual reality)
  • Video-based assessment of surgical procedures
  • Medical Foundation Models
  • Clinical decision support systems

IMPORTANT DATES

Call for abstracts
February 17, 2026
Abstract submission deadline
23:59 PST, April 15, 2026
Notification
23:59 PST, May 31, 2026
Camera ready abstracts
TBA
CLINICCAI event
October 6, 2026

CLINICCAI 2026 PROGRAM

Sixth Edition of CLINICCAI - Clinical Translation of Medical Image Computing and Computer-Assisted Interventions program details to be announced.


COMMITTEE

The CLINICCAI Organizing Committee

Joseph Chin-Chi Kuo, Vice Superintendent, Big Data Center, China Medical University Hospital Chair Professor, Department of BioMedical Informatics, College of Medicine, China Medical University
Farouk Dako, Associate Professor of Radiology Director, Botswana-UPenn Partnership Director, Center for Global and Population Health Research in Radiology University of Pennsylvania School of Medicine Director, RAD-AID International Nigeria Program
Shahrukh Hashmi, Professor of Medicine, DoH, Abu Dhabi, SSMC, Abu Dhabi, Mayo Clinic, and MBZUAI, Abu Dhabi
Rafat Damseh, Assistant Professor, United Arab Emirates University
Michael B. Wallace, John C. Andersen Professor of Medicine, Division of Gastroenterology and Hepatology, Mayo Clinic

The CLINICCAI Steering Committee

Lavanchy, Joël Lukas, Clarunis Hospital, Basel, Switzerland
Joe Poh Sheng YEONG, Singapore General Hospital, Singapore
Daniel A. Hashimoto, Assistant Professor of Surgery and Computer and Information Science, Director of Penn Computer Assisted Surgery and Outcomes Laboratory, University of Pennsylvania, USA
Nicolas Padoy, Professor of Computer Science, University of Strasbourg & IHU Strasbourg, France