Latest AI and machine learning research in parkinson's disease for healthcare professionals.
While most insect-inspired robots come with a simple tarsus, such as a hemispherical foot tip, insect legs have complex tarsal structures and claws, which enable them to walk on complex terrain. Their sharp claws can smoothly attach and detach on plant surfaces by actuating a single muscle. Thus, installing an insect-inspired tarsus on legged robots would improve their locomotion on complex terrai...
The use of robotic-assisted keyhole surgery in gynaecology has expanded in recent years owing to technical advances. These include 3D viewing leading to improved depth perception, limitation of tremor, potential for greater precision and discrimination of tissues, a shorter learning curve and improved comfort for surgeons compared with conventional keyhole and open abdominal surgery. Robotic-assis...
With the widespread dissemination of robotic surgical platforms, pathologies that were previously deemed challenging can now be treated more reliably ...
Faced with the AI (artificial intelligence) era, it is both theoretically and practically important to examine the challenges and opportunities that v...
Robotic surgery provides significant advantages in terms of an optimal three-dimensional and magnified view of the surgical field, superior maneuverab...
BACKGROUND: Microsurgery allows complex reconstruction of tissue defects after oncological resections or severe trauma. Performing these procedures ma...
BACKGROUND: A number of stereotactic platforms are available for performing deep brain stimulation (DBS) lead implantation. Robot-assisted stereotaxy ...
Parkinson's disease is characterized by abnormal gait, which worsens as the condition progresses. Although several methods have been able to classify ...
OBJECTIVES: We proposed a novel deep learning-based radiomics (DLR) model to diagnose Parkinson's disease (PD) based on [F]fluorodeoxyglucose (FDG) PE...
BACKGROUND: The use of multi-modal features for improving the diagnosing accuracy of Parkinson's disease (PD) is still under consideration.
PURPOSE: This work attempts to decode the discriminative information in dopamine transporter (DAT) imaging using deep learning for the differential di...
BACKGROUND: Patients suffering from lower limb dyskinesia, especially in early stages of rehabilitation, have weak residual muscle strength in affecte...
Teleoperation robot systems can help humans perform tasks in unstructured environments. However, non-intuitive control interfaces using only a keyboar...
PD (Parkinson's Disease) is a severe malady that is painful and incurable, affecting older human beings. Identifying PD early in a precise manner is c...
A liquid chromatography tandem mass spectrometry method to quantify drugs in dried cervicovaginal secretions from flocked swabs was developed and va...
Drug discovery for diseases such as Parkinson's disease are impeded by the lack of screenable cellular phenotypes. We present an unbiased phenotypic p...
BACKGROUND: Parkinson's disease (PD) is a neurological disorder that is marked by the deficit of neurons in the midbrain that changes motor and cognit...
The diagnostic performance of a combined architecture on Parkinson's disease using diffusion tensor imaging was evaluated. A convolutional neural netw...
BACKGROUND: Current clinical assessments of essential tremor (ET) are primarily based on expert consultation combined with reviewing patient complaint...
(1) Background: Parkinson's Disease (PD) is one of the most common causes of disability among older individuals. The advanced stages of PD are usually...