AI Medical Compendium Topic

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Motion

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Extracting lung contour deformation features with deep learning for internal target motion tracking: a preliminary study.

Physics in medicine and biology
. To propose lung contour deformation features (LCDFs) as a surrogate to estimate the thoracic internal target motion, and to report their performance by correlating with the changing body using a cascade ensemble model (CEM). LCDFs, correlated to th...

MBT3D: Deep learning based multi-object tracker for bumblebee 3D flight path estimation.

PloS one
This work presents the Multi-Bees-Tracker (MBT3D) algorithm, a Python framework implementing a deep association tracker for Tracking-By-Detection, to address the challenging task of tracking flight paths of bumblebees in a social group. While trackin...

X-crossing pneumatic artificial muscles.

Science advances
Artificial muscles are promising in soft exoskeletons, locomotion robots, and operation machines. However, their performance in contraction ratio, output force, and dynamic response is often imbalanced and limited by materials, structures, or actuati...

Autonomous medical needle steering in vivo.

Science robotics
The use of needles to access sites within organs is fundamental to many interventional medical procedures both for diagnosis and treatment. Safely and accurately navigating a needle through living tissue to a target is currently often challenging or ...

Medical image diagnosis based on adaptive Hybrid Quantum CNN.

BMC medical imaging
Hybrid quantum systems have shown promise in image classification by combining the strengths of both classical and quantum algorithms. These systems leverage the parallel processing power of quantum computers to perform complex computations while uti...

Real-time liver motion estimation via deep learning-based angle-agnostic X-ray imaging.

Medical physics
BACKGROUND: Real-time liver imaging is challenged by the short imaging time (within hundreds of milliseconds) to meet the temporal constraint posted by rapid patient breathing, resulting in extreme under-sampling for desired 3D imaging. Deep learning...

Identification of the trade-off between speed and efficiency in undulatory swimming using a bio-inspired robot.

Scientific reports
Anguilliform swimmers, like eels or lampreys, are highly efficient swimmers. Key to understanding their performances is the relationship between the body's kinematics and resulting swimming speed and efficiency. But, we cannot prescribe kinematics to...

Intra-frame motion deterioration effects and deep-learning-based compensation in MR-guided radiotherapy.

Medical physics
BACKGROUND: Current commercially available hybrid magnetic resonance linear accelerators (MR-Linac) use 2D+t cine MR imaging to provide intra-fractional motion monitoring. However, given the limited temporal resolution of cine MR imaging, target intr...

A Robot-Assisted Framework for Rehabilitation Practices: Implementation and Experimental Results.

Sensors (Basel, Switzerland)
One of the most interesting characteristics of collaborative robots is their ability to be used in close cooperation scenarios. In industry, this facilitates the implementation of human-in-loop workflows. However, this feature can also be exploited i...

Thermo-Pneumatic Artificial Muscle: Air-Based Thermo-Pneumatic Artificial Muscles for Pumpless Pneumatic Actuation.

Soft robotics
To make robots more human-like and safer to use around humans, artificial muscles exhibiting compliance have gained significant attention from researchers. However, despite having excellent performance, pneumatic artificial muscles (PAMs) have failed...