Home /Research /Artificial Intelligence‐Supported Video Analysis as a Means to Assess the Impact of DROP‐IN Image Guidance on Robotic Surgeons: Radioguided Sentinel Lymph Node versus PSMA‐Targeted Prostate Cancer Surgery
SURGICAL

Artificial Intelligence‐Supported Video Analysis as a Means to Assess the Impact of DROP‐IN Image Guidance on Robotic Surgeons: Radioguided Sentinel Lymph Node versus PSMA‐Targeted Prostate Cancer Surgery

Samaneh Azargoshasb, Hilda A. de Barros, Daphne D. D. Rietbergen, Paolo Dell’Oglio, Pim J. van Leeuwen, Christian von Wagner, Phillip D. Stricker, Sergi Vidal‐Sicart, Alberto Briganti, Tobias Maurer, H.G. Van Der Poel, Matthias N. van Oosterom, Fijs W. B. van Leeuwen

Year
2023
Citations
1
Access
Open access

Abstract

Robot-Assisted Surgery Image guidance technologies such as radiotracers and the DROP-IN gamma probe alter the surgeon-robot-patient interaction during urologic interventions. To truly understand how these technologies impact surgical decision making, it is necessary to define how perception reflects into action. Artificial intelligence-supported probe tracking allowed us to directly relate the DROP-IN sensory feedback to the kinematics of surgical use. For further details, see article number 2300192 by Fijs W. B. van Leeuwen and co-workers.

Keywords

Robotic surgeryMedicineRobotRoboticsMedical physicsArtificial intelligenceGeneral surgerySurgeryComputer science

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