Results 131 to 140 of about 1,608,036 (295)

Intelligent surgical workflow recognition for endoscopic submucosal dissection with real-time animal study. [PDF]

Nat Commun, 2023
Cao J, Yip HC, Chen Y, Scheppach M, Luo X, Yang H, Cheng MK, Long Y, Jin Y, Chiu PW, Yam Y, Meng HM, Dou Q.   +12 more
europepmc   +1 more source

Artificial Intelligence‐Driven Extraction of Patient‐Reported Pain Outcomes in Osteoarthritis Using Large Language Models

Arthritis Care &Research, Accepted Article.
Objective Patient‐reported outcome measures (PROMs) are central to assessing symptom burden and treatment response in Osteoarthritis (OA) but are often embedded in unstructured clinical notes. We evaluated whether prompt‐engineered large language models (LLMs) could accurately extract or infer pain scores on a 0‐10 scale from routine OA clinical ...
Jainesh Doshi, Stephen Batter, Yiyuan Wu, William Salerno, Alice Santilli, Sandhya Kannayiram, Susan Goodman, Bella Mehta   +7 more
wiley   +1 more source

ImitateCholec: A Multimodal Dataset for Long-Horizon Imitation Learning in Robotic Cholecystectomy

Scientific Data
The growing global shortage of skilled surgeons underscores the need for intelligent, assistive technologies in the operating room. To address this challenge, we introduce ImitateCholec, a publicly available dataset specifically designed to advance ...
Pascal Hansen, Ji Woong Brian Kim, Antony Goldenberg, Juo Tung Chen, Yuanzhe Amos Li, Anton Deguet, Brandon White, De Ru Tsai, Richard Cha, Jeffrey Jopling, Paul Maria Scheikl, Axel Krieger   +11 more
doaj   +1 more source

Multilevel effective surgical workflow recognition in robotic left lateral sectionectomy with deep learning: experimental research. [PDF]

Int J Surg, 2023
Liu Y, Zhao S, Zhang G, Zhang X, Hu M, Zhang X, Li C, Zhou SK, Liu R.   +8 more
europepmc   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

Surgical Instrument Detection on the Instrument Stand using Neural Networks

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   +1 more source

ViPeR: Vision-Based Surgical Phase Recognition

IEEE Access
Surgical phase recognition is a critical, yet challenging, problem in computer vision, with significant implications for automated surgical training, intraoperative assistance, and workflow optimization.
Soumyadeep Chandra, Sayeed Shafayet Chowdhury, Courtney Yong, Ginnie Jeng, Ashorne Mahenthiran, Kostantinos E. Morris, Harrison L. Love, Chandru P. Sundaram, Kaushik Roy   +8 more
doaj   +1 more source

Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy

Advanced Engineering Materials, EarlyView.
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang, Jianxiang Zhao, Zhaoqi Chen, Hao Gong, Yinsen Yan, Junlei Tao, Yong Yang   +6 more
wiley   +1 more source

Automatic Assessment of Procedural Skills Based on the Surgical Workflow Analysis Derived from Speech and Video. [PDF]

Bioengineering (Basel), 2022
Guzmán-García C, Sánchez-González P, Oropesa I, Gómez EJ.   +3 more
europepmc   +1 more source

Controlling Grain Growth in Powder Bed Fusion of Yttria‐Stabilized Zirconia Using Femtosecond Lasers: Challenges and Methodological Insights

Advanced Engineering Materials, EarlyView.
Binder‐free laser powder bed fusion of 8YSZ with a femtosecond laser is used to map process windows linking scan strategy, heat accumulation, and grain growth. Time‐resolved thermography and simulations reveal thermal regimes that enable continuous, vitrified, and fine‐grained 8YSZ surface layers without absorptive additives and demonstrate ...
Markus Kühn, Sarah Kaden, Andrea Barz, Daniel Störzner, Jens Bliedtner, Andrés Fabián Lasagni   +5 more
wiley   +1 more source