Results 11 to 20 of about 4,230,247 (346)

Application of healthcare failure mode and effect analysis in controlling surgical instrument packaging defects [PDF]

Scientific Reports, 2022
Surgical instrument packaging defects may affect the safety of medical care and patients and waste the hospital workforce, material resources, and financial resources.
Liangying Yi, Yanhua Chen, Ruixue Hu, Juan Hu, Wei Pan   +4 more
doaj   +3 more sources

Surgical Instrument Recognition Based on Improved YOLOv5

Applied Sciences, 2023
Recognition of surgical instruments is a key part of the post-operative check and inspection of surgical instrument packaging. However, manual inventorying is prone to counting errors. The achievement of automated surgical instrument identification holds
Kaile Jiang, Shuwan Pan, Luxuan Yang, Jie Yu, Yuanda Lin, Huaiqian Wang   +5 more
doaj   +2 more sources

Factors affecting implementation and pass rates of surgical instrument moistening

BMC Infectious Diseases, 2021
Background Moistening of surgical instruments affects the quality of instrument cleaning, thereby affecting the degree of cross-contamination and in-hospital infection among patients.
Yongdeng Huang, Yan Huang, Yanhua Chen, Wei Pan, Juan Hu, Liangying Yi   +5 more
doaj   +2 more sources

Limited generalizability of single deep neural network for surgical instrument segmentation in different surgical environments

Scientific Reports, 2022
Clarifying the generalizability of deep-learning-based surgical-instrument segmentation networks in diverse surgical environments is important in recognizing the challenges of overfitting in surgical-device development.
Daichi Kitaguchi, Toru Fujino, Nobuyoshi Takeshita, Hiro Hasegawa, Kensaku Mori, Masaaki Ito   +5 more
doaj   +2 more sources

Surgical instrument posture estimation and tracking based on LSTM

ICT Express
The surgical navigation system enhances surgical safety and accuracy by providing precise guidance. However, traditional pose estimation algorithms lack real-time performance and accuracy.
Siyu Lu, Jun Yang, Bo Yang, Xiaolu Li, Zhengtong Yin, Lirong Yin, Wenfeng Zheng   +6 more
doaj   +2 more sources

Application of microwave surgical instrument to lung segmentectomy for small-sized lung cancerCentral MessagePerspective [PDF]

JTCVS Techniques
Objectives: For lung segmentectomy of small lung cancers, we used a microwave surgical instrument for lung parenchymal dissection mainly at the pulmonary hilum, which is difficult to handle with surgical staplers. This technique facilitated the insertion
Takeshi Mimura, MD, PhD, Masayuki Ishida, MD, Kazuki Tadokoro, MD, Atsushi Kamigaichi, MD, Yuya Hirai, MD, Mai Nishina, MD, Atsushi Kagimoto, MD, PhD, Norifumi Tsubokawa, MD, PhD, Yoshinori Yamashita, MD, PhD   +8 more
doaj   +2 more sources

Observed rates of surgical instrument errors point to visualization tasks as being a critically vulnerable point in sterile processing and a significant cause of lost chargeable OR minutes [PDF]

BMC Surgery
Background The reporting of surgical instrument errors historically relies on cumbersome, non-automated, human-dependent, data entry into a computer database that is not integrated into the electronic medical record.
Peter F. Nichol, Mark J. Saari, Natalia Navas, David Aguilar, Rita K. Bliesner, Paige J. Brunner, Jacob C. Caceres, Madelyn Chen, Ava R. VanDommelen, Matthew Fischer, Simar Garcha, Elaf A. Ghawas, Grace R. Hackinson, Ava Hitzeman, Maria Jabbour, Amanda M. Jentsch, Madison M. Kurth, Mollyn Leyden, Qianyun Luo, Abigail C. McGrain, Gwendolyn Nytes, Olivia R. O’Brien, Jesibell K. Philavong, Natalie Villegas, Shannon R. Walsh, Sydney S. Wisdorf   +25 more
doaj   +2 more sources

SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation [PDF]

AAAI Conference on Artificial Intelligence, 2023
The Segment Anything Model (SAM) is a powerful foundation model that has revolutionised image segmentation. To apply SAM to surgical instrument segmentation, a common approach is to locate precise points or boxes of instruments and then use them as ...
Wenxi Yue, Jing Zhang, Kun Hu, Yong Xia, Jiebo Luo, Zhiyong Wang   +5 more
semanticscholar   +1 more source

MATIS: Masked-Attention Transformers for Surgical Instrument Segmentation [PDF]

IEEE International Symposium on Biomedical Imaging, 2023
We propose Masked-Attention Transformers for Surgical Instrument Segmentation (MATIS), a two-stage, fully transformer-based method that leverages modern pixel-wise attention mechanisms for instrument segmentation. MATIS exploits the instance-level nature
Nicolás Ayobi, Alejandra P'erez-Rond'on, Santiago A. Rodr'iguez, Pablo Arbel'aez   +3 more
semanticscholar   +1 more source

Text Promptable Surgical Instrument Segmentation with Vision-Language Models [PDF]

Neural Information Processing Systems, 2023
In this paper, we propose a novel text promptable surgical instrument segmentation approach to overcome challenges associated with diversity and differentiation of surgical instruments in minimally invasive surgeries.
Zijian Zhou, Oluwatosin O. Alabi, Meng Wei, Tom Kamiel Magda Vercauteren, Miaojing Shi   +4 more
semanticscholar   +1 more source