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Description
In minimally invasive surgical procedures, there is often a challenge to visualize the procedure pathway inside the body in hard-to-reach locations in the lungs or abdomen. Therefore, harmful radiation is necessary especially for peripheral anatomical structures. Improved diagnosis can be achieved with navigation systems and precise automatic robotic devices which guide flexible medical instruments inside the body. The main objective of this proposal is to develop an advanced prototype of a medical software and robotic platform to improve cancer diagnostic using artificial intelligence and medical robotics to increase procedure success rate, decrease the patient’s radiation exposure, and reduce procedure cost for early detection and treatment of cancer.
The project strengthens the cooperation between Romanian and Norwegian universities, hospitals and industry partners: University of Craiova (RO), Politehnica University Bucharest (RO), Delta Health Care SRL (Ponderas Academic Hospital) (RO), SINTEF (NO), Norwegian University of Science and Technology (St. Olavs University Hospital) (NO) and Ceetron AS (NO) by further improving and advancing the technology initiated during the 2014-2017 EEA Program, Contract No. 3SEE/2014 to a clinical utility level , the highest level reached by our groups and possibly by any other groups in the EEA Program.