Latest AI and machine learning research in surgery for healthcare professionals.
Precise manipulation tasks require accurate knowledge of payload inertial parameters. Unfortunatel...
Goal: A limitation in robotic surgery is the lack of force feedback, due to challenges in suitable...
With the increasing use of surgical robots in clinical practice, enhancing their ability to proces...
Robotic-assisted joint reconstruction has gradually become a routine procedure in clinical practice....
The automatic summarization of surgical videos is essential for enhancing procedural documentation...
The development of autonomous robotic systems offers significant potential for performing complex ...
Teleoperation is crucial for hazardous environment operations and serves as a key tool for collect...
Robot-assisted minimally invasive surgeries offer many advantages but require complex motor tasks ...
This paper presents a dynamic arthroscopic navigation system based on multi-level memory architect...
Advancements in machine learning have revolutionized preoperative risk assessment. In this article, ...
Patients with neurological conditions require rehabilitation to restore their motor, visual, and c...
Purpose: Automated Surgical Phase Recognition (SPR) uses Artificial Intelligence (AI) to segment t...
Understanding actions within surgical workflows is essential for evaluating post-operative outcome...
Stereo disparity estimation is crucial for obtaining depth information in robot-assisted minimally...
Postoperative pain is a relevant and unresolved problem in clinical practice. In order to reduce the...
Intraoperative adverse events (IAEs), such as bleeding or thermal injury, can lead to severe posto...
Purpose: In this study, we investigate the training of foundation models using federated learning ...
Endovascular procedures have revolutionized the treatment of vascular diseases thanks to minimally...
Liver registration by overlaying preoperative 3D models onto intraoperative 2D frames can assist s...
Building a generalizable self-correction system is crucial for robots to recover from failures. De...
Knitting, a cornerstone of textile manufacturing, is uniquely challenging to automate, particularl...