Results 1 to 10 of about 140,388 (180)

Surgical Instrument Detection Algorithm Based on Improved YOLOv7x [PDF]

Sensors, 2023
The counting of surgical instruments is an important task to ensure surgical safety and patient health. However, due to the uncertainty of manual operations, there is a risk of missing or miscounting instruments.
Boping Ran, Bo Huang, Shunpan Liang, Yulei Hou   +3 more
doaj   +6 more sources

Surgical instrument detection and tracking technologies: Automating dataset labeling for surgical skill assessment [PDF]

Frontiers in Robotics and AI, 2022
Surgical skills can be improved by continuous surgical training and feedback, thus reducing adverse outcomes while performing an intervention. With the advent of new technologies, researchers now have the tools to analyze surgical instrument motion to ...
Shubhangi Nema, Leena Vachhani
doaj   +6 more sources

Convolutional neural network-based surgical instrument detection. [PDF]

Technol Health Care, 2020
BACKGROUND: Minimally invasive surgery (MIS), unlike open surgery in which surgeons can perform surgery directly, is performed using miniaturized instruments with indirect but careful observation of the surgical site. OBJECTIVE: Instrument detection is a crucial requirement in conventional and robot-assisted MIS, which can also be very useful during ...
Cai T, Zhao Z.
europepmc   +6 more sources

Bibliometric analysis of deep learning for surgical instrument segmentation, detection and tracking in minimally invasive surgery [PDF]

Frontiers in Digital Health
BackgroundDeep learning (DL) methods for surgical video analysis have expanded rapidly in minimally invasive surgery (MIS). However, a structured bibliometric overview focused on DL-based surgical instrument segmentation, detection, and tracking is ...
Mahmoud Yousef, Kareem Essam Aly, Mariam Ahmed, Fatimaelzahraa Ali Ahmed, Khalid Al Jalham, Shidin Balakrishnan   +5 more
doaj   +4 more sources

Artificial intelligence model for automated surgical instrument detection and counting: an experimental proof-of-concept study [PDF]

Patient Safety in Surgery
Background Retained surgical items (RSI) are preventable events that pose a significant risk to patient safety. Current strategies for preventing RSIs rely heavily on manual instrument counting methods, which are prone to human error.
Ekamjit S. Deol, Grant Henning, Spyridon Basourakos, Ranveer M. S. Vasdev, Vidit Sharma, Nicholas L. Kavoussi, R. Jeffrey Karnes, Bradley C. Leibovich, Stephen A. Boorjian, Abhinav Khanna   +9 more
doaj   +4 more sources

Surgical Instrument Detection on the Instrument Stand using Neural Networks [PDF]

Current Directions in Biomedical Engineering
Efficient detection of surgical instruments in operating room (OR) settings is critical for advancing surgical workflow management systems. While deep learning-based object detection has achieved promising results in minimally invasive surgery, the ...
Kienle Linus L., Hilsmann Anna, Eisert Peter, Knoke Michael, Wisotzky Eric L.   +4 more
doaj   +3 more sources

A robust dataset for surgical instrument detection to aid autonomous robotic surgeryMendeley Data [PDF]

Data in Brief
Robot-assisted surgery (RAS) is transforming modern healthcare by enhancing precision, reducing human error, and improving patient outcomes. A crucial step toward fully autonomous robotic surgery is the accurate and real-time recognition of surgical ...
Ganesh Kumar Chellamani, Aishwarya N, Bhavesh Kumar P, Palle Sravan Kumar Reddy, Rakesh Thoppaen Suresh Babu   +4 more
doaj   +3 more sources

Real-time surgical instrument detection in robot-assisted surgery using a convolutional neural network cascade [PDF]

Healthcare Technology Letters, 2019
Surgical instrument detection in robot-assisted surgery videos is an import vision component for these systems. Most of the current deep learning methods focus on single-tool detection and suffer from low detection speed.
Zijian Zhao, Tongbiao Cai, Faliang Chang, Xiaolin Cheng   +3 more
doaj   +4 more sources

Tubular structure enhancement for surgical instrument detection in 3D ultrasound. [PDF]

Annu Int Conf IEEE Eng Med Biol Soc, 2011
Three-dimensional ultrasound has been an effective imaging modality for diagnostics and is now an emerging modality for image-guided minimally-invasive interventions since it enables visualization of both instruments and tissue. Challenges to ultrasound-guided interventions arise, however, due to the low signal-to-noise ratio and the imaging artifacts ...
Ren H, Dupont PE.
europepmc   +7 more sources

Towards an RFID microsystem for surgical instrument detection using millimeter waves [PDF]

2015 IEEE 4th Portuguese Meeting on Bioengineering (ENBENG), 2015
Misplacement of surgical instruments inside an operating room is a frequent mistake that can bring unnecessary complications. We propose a system that can prevent these, through wireless communication.
Mendes, P. M., Zamith, M.
core   +5 more sources