AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Motion

Showing 171 to 180 of 845 articles

Clear Filters

Experimental Study: Deep Learning-Based Fall Monitoring among Older Adults with Skin-Wearable Electronics.

Sensors (Basel, Switzerland)
Older adults are more vulnerable to falling due to normal changes due to aging, and their falls are a serious medical risk with high healthcare and societal costs. However, there is a lack of automatic fall detection systems for older adults. This pa...

Biomimetic Approaches for Human Arm Motion Generation: Literature Review and Future Directions.

Sensors (Basel, Switzerland)
In recent years, numerous studies have been conducted to analyze how humans subconsciously optimize various performance criteria while performing a particular task, which has led to the development of robots that are capable of performing tasks with ...

Dynamic turning and running of a hexapod robot using a separated and laterally arranged two-leg model.

Bioinspiration & biomimetics
We report on the development of separated and laterally arranged two-leg (SLTL) models with/without differentiated leg properties and their use as the dynamic running and turning templates for a hexapod robot. The laterally arranged two-leg morpholog...

Three-Dimensional Human Pose Estimation from Sparse IMUs through Temporal Encoder and Regression Decoder.

Sensors (Basel, Switzerland)
Three-dimensional (3D) pose estimation has been widely used in many three-dimensional human motion analysis applications, where inertia-based path estimation is gradually being adopted. Systems based on commercial inertial measurement units (IMUs) us...

A virtuous cycle between invertebrate and robotics research: perspective on a decade of Living Machines research.

Bioinspiration & biomimetics
Many invertebrates are ideal model systems on which to base robot design principles due to their success in solving seemingly complex tasks across domains while possessing smaller nervous systems than vertebrates. Three areas are particularly relevan...

A Concurrent Framework for Constrained Inverse Kinematics of Minimally Invasive Surgical Robots.

Sensors (Basel, Switzerland)
Minimally invasive surgery has undergone significant advancements in recent years, transforming various surgical procedures by minimizing patient trauma, postoperative pain, and recovery time. However, the use of robotic systems in minimally invasive...

Technical Advancements in Abdominal Diffusion-weighted Imaging.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
Since its first observation in the 18th century, the diffusion phenomenon has been actively studied by many researchers. Diffusion-weighted imaging (DWI) is a technique to probe the diffusion of water molecules and create a MR image with contrast bas...

Deep learning intravoxel incoherent motion modeling: Exploring the impact of training features and learning strategies.

Magnetic resonance in medicine
PURPOSE: The development of advanced estimators for intravoxel incoherent motion (IVIM) modeling is often motivated by a desire to produce smoother parameter maps than least squares (LSQ). Deep neural networks show promise to this end, yet performanc...

Learning-Based Motion-Intention Prediction for End-Point Control of Upper-Limb-Assistive Robots.

Sensors (Basel, Switzerland)
The lack of intuitive and active human-robot interaction makes it difficult to use upper-limb-assistive devices. In this paper, we propose a novel learning-based controller that intuitively uses onset motion to predict the desired end-point position ...

Evaluation of deep learning based implanted fiducial markers tracking in pancreatic cancer patients.

Biomedical physics & engineering express
Real-time target position verification during pancreas stereotactic body radiation therapy (SBRT) is important for the detection of unplanned tumour motions. Fast and accurate fiducial marker segmentation is a Requirement of real-time marker-based ve...