Name
Abstract | ||
|---|---|---|
Treating the supracondylar humerus fracture, a very common elbow's injury, can be very challenging for pediatric orthopedic surgeons. Actually, using the pinning technique to treat it leads sometimes to many neurological and vascular complications. Furthermore, the medical staff faces a serious danger when performing such surgeries because of the recurrent exposure to harmful radiations emitted by the fluoroscopic C-arm. Considering these issues, a national project was launched to create a new robotic platform, baptized BROS, to automate the supracondylar humerus fracture's treatment and remedy the said issues. This chapter introduces this new robotic platform and uses a real case to prove the relevance and safety of BROS. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-27707-3_25 | BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES, BIOSTEC 2015 |
Keywords | Field | DocType |
Supracondylar humerus fracture,Robot-assisted surgery,e-Heath,Reconfiguration | Supracondylar humerus fracture,Elbow,Computer science,SAFER,Artificial intelligence,Orthopedic surgery,Medical emergency,Machine learning | Conference |
Volume | ISSN | Citations |
574 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohamed Oussama Ben Salem | 1 | 0 | 0.34 |
| Olfa Mosbahi | 2 | 198 | 26.88 |
| Mohamed Khalgui | 3 | 3 | 3.41 |
| Georg Frey | 4 | 172 | 40.32 |