**Challenge: Developing a Personalized, Real-time, Intraoper

Challenge: Developing a Personalized, Real-time, Intraoperative Tumor Deformation Prediction Model Using AI and Machine Learning

Objective: Create a robust AI system that can predict tumor shape and deformation in real-time during neurosurgical interventions, thereby enhancing the precision of tumor resection and improving patient outcomes.

Constraints:

• The model must leverage a combination of multimodal imaging data (including MRI, CT scans, and intraoperative ultrasound) and integrate it with surgical instrument trajectory data in the operating room.
• The AI system should be able to make predictions based on both preoperative imaging data and real-time intraoperative information, while taking into consideration the dynamic nature of brain tumors under various physiological conditions (e.g., brain shift, cerebrospinal fluid redistribution, and patient movement).
• The model must be capable of handling variability in tumor size, shape, location, and patient anatomy, while achieving high accuracy and robustness in real-time prediction.
• The developed AI system should be able to integrate seamlessly with existing neurosurgical equipment, providing real-time predictions on a display or through an API.

Evaluation Criteria:

• Accuracy of tumor shape and deformation prediction
• Robustness and ability to handle diverse input data
• Real-time prediction capability
• Integration with existing neurosurgical equipment and workflow
• Model interpretability and usability for clinicians

Deliverable:

• A detailed system description of the proposed AI model, including its architecture, algorithms, and multimodal data integration approaches.
• A functional prototype of the AI system, with a user interface and API for seamless integration with surgical equipment.
• Evaluation results, benchmarked against state-of-the-art approaches and clinical metrics (e.g., surgeon satisfaction, patient outcomes).

Prizes and Recognition:

• The winning team will receive a grand prize of $100,000.
• Publication opportunities in top-tier peer-reviewed journals and conference proceedings.
• Invitation to present the developed solution at a prestigious international conference on AI in healthcare.
• Recognition as a distinguished innovator in the field of AI and healthcare.

Submission Deadline: April 30, 2026.

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