Project description
Bridging the gap in surgical decision-making
Perioperative care demands precise decision-making. However, it also faces challenges due to subjective interpretation of medical imaging and limitations in providing a comprehensive view of patient anatomy. In this context, the EU-funded HoloSurge project merges AI and medical imaging. It automates fusion of imaging modalities, offering real-time 3D holographic visualisation and surgical navigation. With cell-level cancer diagnostics, it promises unparalleled insight into patients’ anatomy and pathology. Led by European scientists and clinicians, this innovation aims to mitigate surgical risks, particularly in cancer interventions, potentially saving numerous lives. HoloSurge heralds a new era of informed perioperative care, poised to redefine surgical outcomes.
Objective
Perioperative care is an intricate process that encompasses 1) preoperative evaluation, surgical planning and preparation; 2) intraoperative procedure; and 3) postoperative management. Perioperative care depends on clinical decision-making, a continuous process that involves many healthcare professionals (incl. radiologists, surgeons, anaesthesiologists, nurses, and others) who – based on the best available evidence, clinical experience, and the patient's individual circumstances – make informed decisions on the best course of action. Even though advancements in medical imaging modalities (CT, MRI, ultrasound) have greatly improved surgical outcomes, their interpretation towards deciding a specific course of action remains subjective. In addition, these modalities have several limitations when used alone (e.g. missed lesions; cannot provide a 3D visualization of key structures such as vessels), ultimately failing to provide a full picture of the patient’s anatomy that is shared and unambiguously understood by all in the assigned team. Due to these limitations, there are often suboptimal decisions that add to a cumulative risk of surgical complications in perioperative care.
HoloSurge is a joint undertaking that brings European scientists and clinicians from high-tech companies, clinical centres, and research institutions in a consortium to deploy an innovative AI-based medical system that: i) enables automatic fusion and segmentation of state-of-the-art imaging modalities for interactive 3D holographic visualization of patients’ organs; ii) provides real-time surgical navigation; and iii) allows real-time cell-level cancer diagnostics. The solution will provide surgical teams with an unmatched holistic view of the patient’s anatomy and pathology in real-time at point of care, before and during surgery. This innovation will be validated for cancer interventions, while creating a trail of better-informed perioperative decision-making that can save countless lives.
Fields of science
Keywords
Programme(s)
Funding Scheme
HORIZON-IA - HORIZON Innovation ActionsCoordinator
0179 OSLO
Norway
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.