Cardiovascular

Strokes

Latest AI and machine learning research in strokes for healthcare professionals.

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Deep Learning for Neuroimaging Segmentation with a Novel Data Augmentation Strategy.

Brain insults such as cerebral ischemia and intracranial hemorrhage are critical stroke conditions w...

Jul 2020 33018279
A deep learning oriented method for automated 3D reconstruction of carotid arterial trees from MR imaging.

The scope of this paper is to present a new carotid vessel segmentation algorithm implementing the U...

Jul 2020 33018492
Patient-Specific Robot-Assisted Stroke Rehabilitation Guided by EEG - A Feasibility Study.

Multi-session robot-assisted stroke rehabilitation program requires patients to perform repetitive t...

(1)
Jul 2020 33018598
Investigating muscle synergies changes after rehabilitation robotics training on stroke survivors: a pilot study.

The current knowledge about muscle synergies does not clearly explain how both rehabilitation and br...

Jul 2020 33018812
Subject-specific, Impairment-based Robotic Training of Functional Upper Limb Movements.

Significant hand and upper-limb impairment is common post-stroke. Robotic training can administer a ...

Jul 2020 33019082
An Empirical Method of Automatic Pattern Extraction for Clinical Text Classification.

Clinical text classification is an indispensable and extensively studied problem in medical text pro...

Jul 2020 33019178
Semiautomated Approach for Muscle Weakness Detection in Clinical Texts.

The automated detection of adverse events in medical records might be a cost-effective solution for ...

Jun 2020 32604599
Detection of Muscle Weakness in Medical Texts Using Natural Language Processing.

Identifying adverse events in clinical documents is demanded in retrospective clinical research and ...

Jun 2020 32570367
Effects of trunk stabilization training robot on postural control and gait in patients with chronic stroke: a randomized controlled trial.

Our study aimed to confirm the therapeutic effects of using a trunk stabilization training robot (3D...

(1)
Jun 2020 32282572
[Artificial intelligence, the future of intelligence or the intelligence of the future?].

Artificial Intelligence (AI) consists of setting different technics together aimed at allowing machi...

Jun 2020 33146128
Wearables in cardiology: Here to stay.

The adoption of wearables in medicine has rapidly expanded worldwide. New generations of wearables a...

(2)
May 2020 32354455
Adverse drug event rates in pediatric pulmonary hypertension: a comparison of real-world data sources.

OBJECTIVE: Real-world data (RWD) are increasingly used for pharmacoepidemiology and regulatory innov...

Feb 2020 31769835
Automatic Anterior Chamber Angle Measurement for Ultrasound Biomicroscopy Using Deep Learning.

PURPOSE: To develop a software package for automated measuring of the trabecular-iris angle (TIA) us...

(2)
Feb 2020 31790065
Robotic treatment of the upper limb in chronic stroke and cerebral neuroplasticity: a systematic review.

Stroke is the second cause of mortality and the third cause of long-term disability worldwide. Defic...

Jan 2020 33386032
Hand motion analysis during robot-aided rehabilitation in chronic stroke.

A high percentage of post-stroke patients reports spasticity and no functional use of the upper limb...

Jan 2020 33386033
Contribution of neural networks in the diagnosis and treatment of cardiac arrhythmia.

Arrhythmia is a dangerous disease in which the heart rhythm varies and it may be very fast or very s...

Jan 2020 33357360
Retinopathy Analysis Based on Deep Convolution Neural Network.

At medical checkups or mass screenings, the fundus examination is effective for early detection of s...

(1)
Jan 2020 32030666
[Robotic recovery of walking function in patients in the early recovery period of stroke].

OBJECTIVE: To compare the efficacy of walking function recovery in patients in the early recovery pe...

Jan 2020 33016680
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