AI Medical Compendium Topic

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

Head

Showing 161 to 170 of 207 articles

Clear Filters

Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study.

Lancet (London, England)
BACKGROUND: Non-contrast head CT scan is the current standard for initial imaging of patients with head trauma or stroke symptoms. We aimed to develop and validate a set of deep learning algorithms for automated detection of the following key finding...

Machine learning RF shimming: Prediction by iteratively projected ridge regression.

Magnetic resonance in medicine
PURPOSE: To obviate online slice-by-slice RF shim optimization and reduce B1+ mapping requirements for patient-specific RF shimming in high-field magnetic resonance imaging.

Dynamic traversal of large gaps by insects and legged robots reveals a template.

Bioinspiration & biomimetics
It is well known that animals can use neural and sensory feedback via vision, tactile sensing, and echolocation to negotiate obstacles. Similarly, most robots use deliberate or reactive planning to avoid obstacles, which relies on prior knowledge or ...

Detection of American Football Head Impacts Using Biomechanical Features and Support Vector Machine Classification.

Scientific reports
Accumulation of head impacts may contribute to acute and long-term brain trauma. Wearable sensors can measure impact exposure, yet current sensors do not have validated impact detection methods for accurate exposure monitoring. Here we demonstrate a ...

Towards frameless maskless SRS through real-time 6DoF robotic motion compensation.

Physics in medicine and biology
Stereotactic radiosurgery (SRS) uses precise dose placement to treat conditions of the CNS. Frame-based SRS uses a metal head ring fixed to the patient's skull to provide high treatment accuracy, but patient comfort and clinical workflow may suffer. ...

Z-Index Parameterization for Volumetric CT Image Reconstruction via 3-D Dictionary Learning.

IEEE transactions on medical imaging
Despite the rapid developments of X-ray cone-beam CT (CBCT), image noise still remains a major issue for the low dose CBCT. To suppress the noise effectively while retain the structures well for low dose CBCT image, in this paper, a sparse constraint...

Anticipatory detection of turning in humans for intuitive control of robotic mobility assistance.

Bioinspiration & biomimetics
Many wearable lower-limb robots for walking assistance have been developed in recent years. However, it remains unclear how they can be commanded in an intuitive and efficient way by their user. In particular, providing robotic assistance to neurolog...

From biokinematics to a robotic active vision system.

Bioinspiration & biomimetics
Barn owls move their heads in very particular motions, compensating for the quasi-immovability of their eyes. These efficient predators often perform peering side-to-side head motions when scanning their surroundings and seeking prey. In this work, w...

Automated gesture tracking in head-fixed mice.

Journal of neuroscience methods
BACKGROUND: The preparation consisting of a head-fixed mouse on a spherical or cylindrical treadmill offers unique advantages in a variety of experimental contexts. Head fixation provides the mechanical stability necessary for optical and electrophys...

A neural network approach for fast, automated quantification of DIR performance.

Medical physics
PURPOSE: A critical step in adaptive radiotherapy (ART) workflow is deformably registering the simulation CT with the daily or weekly volumetric imaging. Quantifying the deformable image registration accuracy under these circumstances is a complex ta...