Clinical Videos

Aortic Dissection

An aortic dissection is a condition where the inner layer of the aorta tears and blood passes through the tear and splits the aorta. This is a complex pathology that requires an understanding of the geometry of the lesions. AVATAR MEDICAL helps surgeons understand the pathology.


Voyage inside a breast MRI of a patient with a multifocal lesion and metastatic lymph nodes using AVATAR MEDICAL


Vascular exploration of a Kidney aneurism

Pelvic Sarcoma

Large Volume Sarcoma with extensive destructive Pelvic Ilium erosion and complex vascular and soft tissue interfaces.


Complex Hemipelvic Fracture with Sacroiliac Disruption and Acetabular Involvement.

Perforant Arteries

Deep inferior epigastric arteries examined in an injected CT scan of a female patient.

Body Scan

A full body CT scan of a female patient represented with AVATAR MEDICAL™. On the left is a 2D radiological view and on the right a user navigates inside the same image, in the form of an AVATAR, using virtual reality.

Breast Cancer

T1-weighted injected MRI of patient with a neoplastic mass in the right breast. With the AVATAR MEDICAL™ platform, the MRI can be visualized at any angle and interacted with to perform exact measurements relevant to pre-operative planning.

Craniofacial Trauma

Simultaneous pre- and post-operative visualizations of a patient with a Le Fort fracture of the skull. This image was used in the context of teaching medical students at the Univesité de Paris. Students experienced a 98% degree of satisfaction and benefited from a better understanding of craniofacial trauma using AVATAR MEDICAL™ technology.

Jebrane Bouaoud, Mohamed El Beheiry, Eve Jablon, Thomas Schouman, Chloé Bertolus, Arnaud Picard, Jean-Baptiste Masson and Roman-Hossein Khonsari, “DIVA, a 3D virtual reality platform, improves undergraduate craniofacial trauma education,” Journal of Stomatology, Oral and Maxillofacial Surgery, 2020.

Ovarian Cancer

Visualization of a serous cystadenocarcinoma of the ovary using the AVATAR MEDICAL™ platform.

The results shown here are in whole or part based upon data generated by the TCGA Research Network: http://cancergenome.nih.gov/

Holback, C., Jarosz, R., Prior, F., Mutch, D. G., Bhosale, P., Garcia, K., … Erickson, B. J. (2016). Radiology Data from The Cancer Genome Atlas Ovarian Cancer [TCGA-OV] collection. The Cancer Imaging Archive. http://doi.org/10.7937/K9/TCIA.2016.NDO1MDFQ

Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057.