AI Medical Compendium Topic:
Stroke

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Automated information extraction from free-text medical documents for stroke key performance indicators: a pilot study.

Internal medicine journal
Automated information extraction might be able to assist with the collection of stroke key performance indicators (KPI). The feasibility of using natural language processing for classification-based KPI and datetime field extraction was assessed. Usi...

Effectiveness of robot-assisted arm therapy in stroke rehabilitation: An overview of systematic reviews.

NeuroRehabilitation
BACKGROUND: Robot-assisted arm therapy (RAT) has been used mainly in stroke rehabilitation in the last 20 years with rising expectations and growing evidence summarized in systematic reviews (SRs).

Evidence-based improvement of gait in post-stroke patients following robot-assisted training: A systematic review.

NeuroRehabilitation
BACKGROUND: The recovery of walking after stroke is a priority goal for recovering autonomy. In the last years robotic systems employed for Robotic Assisted Gait Training (RAGT) were developed. However, literature and clinical practice did not offer ...

[Implementation of robotic mechanotherapy for movement recovery in patients after stroke].

Voprosy kurortologii, fizioterapii, i lechebnoi fizicheskoi kultury
Lower extremity dysfunction after a stroke can vary from mild to extremely severe and significantly reduce the functional independence of patients. The restoration of walking is one of the key components of rehabilitation, it requires a balanced appr...

The effect of mirror therapy can be improved by simultaneous robotic assistance.

Restorative neurology and neuroscience
BACKGROUND: Standard mirror therapy (MT) is a well-established therapy regime for severe arm paresis after acquired brain injury. Bilateral robot-assisted mirror therapy (RMT) could be a solution to provide visual and somatosensory feedback simultane...

Comparative effects of passive and active mode robot-assisted gait training on brain and muscular activities in sub-acute and chronic stroke.

NeuroRehabilitation
BACKGROUND: Robot-assisted gait training (RAGT) was initially developed based on the passive controlled (PC) mode, where the target or ideal locomotor kinematic trajectory is predefined and a patient basically 'rides' the robot instead of actively pa...

Effect of gait rehabilitation with a footpad-type locomotion interface on gait ability in subacute stroke patients.

NeuroRehabilitation
BACKGROUND: Gait rehabilitation using a footpad-type locomotion interface has been reported as effective in improving gait ability in chronic stroke patients. However, the effect on subacute stroke patients is unknown.

Transcarotid access for remote robotic endovascular neurointerventions: a cadaveric proof-of-concept study.

Neurosurgical focus
OBJECTIVE: The purpose of this proof-of-concept study was to demonstrate the setup and feasibility of transcarotid access for remote robotic neurointerventions in a cadaveric model.

[Valuation of automatized ASPECTS as an artificial intelligence tool in daily clinical].

Revista de neurologia
AIMS: To evaluate an automated ASPECTS (ASPECTS-a) software against two radiologists' reading of CT scans requested from the Emergency Department. Describe the most frequent failures of the ASPECTS-a.