AIMC Topic: Models, Anatomic
Clear Filters Showing 51 to 60 of 67 articles
Variable recruitment in bundles of miniature pneumatic artificial muscles.
Bioinspiration & biomimetics
Sep 13, 2016
The natural compliance and force generation properties of pneumatic artificial muscles (PAMs) allow them to operate like human muscles in anthropomorphic robotic manipulators. Traditionally, manipulators use a single PAM or multiple PAMs actuated in ...
Artificial neural networks to predict 3D spinal posture in reaching and lifting activities; Applications in biomechanical models.
Journal of biomechanics
Jul 15, 2016
Spinal posture is a crucial input in biomechanical models and an essential factor in ergonomics investigations to evaluate risk of low back injury. In vivo measurement of spinal posture through the common motion capture techniques is limited to equip...
System events: readily accessible features for surgical phase detection.
International journal of computer assisted radiology and surgery
May 13, 2016
PURPOSE: Surgical phase recognition using sensor data is challenging due to high variation in patient anatomy and surgeon-specific operating styles. Segmenting surgical procedures into constituent phases is of significant utility for resident trainin...
A fast and stable vascular deformation scheme for interventional surgery training system.
Biomedical engineering online
Apr 6, 2016
BACKGROUND: The emergence and development of robot assistant interventional vascular surgery technologies have benefited many patients with cardiovascular or cerebrovascular diseases. Due to the absence of effective training measures, these new advan...
Leveraging anatomical information to improve transfer learning in brain-computer interfaces.
Journal of neural engineering
Jul 14, 2015
OBJECTIVE: Brain-computer interfaces (BCIs) represent a technology with the potential to rehabilitate a range of traumatic and degenerative nervous system conditions but require a time-consuming training process to calibrate. An area of BCI research ...
Colonoscopy with robotic steering and automated lumen centralization: a feasibility study in a colon model.
Endoscopy
Jun 30, 2015
BACKGROUND AND STUDY AIMS: We introduced a new platform for performing colonoscopy with robotic steering and automated lumen centralization (RS-ALC) and evaluated its technical feasibility.
Design of wormlike automated robotic endoscope: dynamic interaction between endoscopic balloon and surrounding tissues.
Surgical endoscopy
May 28, 2015
BACKGROUND: The current design of capsule endoscope is limited by the inability to control the motion within gastrointestinal tract. The rising incidence of gastrointestinal cancers urged improvement in the method of screening endoscopy.
brain2print AI powered web tool for creating 3D printable brain models.
Scientific reports
May 5, 2025
We introduce brain2print, a web-based application that converts T1-weighted MRI scans into 3D printable models. By leveraging artificial intelligence (AI), brain2print performs all computations directly on the user's device, preserving privacy while ...
Unveiling new patterns: A surgical deep learning model for intestinal obstruction management.
The international journal of medical robotics + computer assisted surgery : MRCAS
Feb 1, 2024
BACKGROUND: Swift and accurate decision-making is pivotal in managing intestinal obstructions. This study aims to integrate deep learning and surgical expertise to enhance decision-making in intestinal obstruction cases.
3D-Bioprinting and AI-empowered Anatomical Structure Designing: A Review.
Current medical imaging
Jan 1, 2024
BACKGROUND: The recent advancements and detailed studies in the field of 3D bioprinting have made it a promising avenue in the field of organ shortage, where many patients die awaiting transplantation. The main challenges bioprinting faces are precis...
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