Latest AI and machine learning research in strokes for healthcare professionals.
During the early six months after the onset of a stroke, patients usually remain disabled with limbs...
In the first trimester of pregnancy, accurately predicting the occurrence of pregnancy-induced hyper...
Background Machine learning (ML) is pervasive in all fields of research, from automating tasks to co...
We used machine learning methods to investigate if body composition indices predict hypertension. Da...
Secondary hypertension is associated with higher risks of target organ damage and cardiovascular and...
Early diagnosis of interstitial lung diseases secondary to connective tissue diseases is critical fo...
Artificial Intelligence is hailed as a cutting-edge technology for accelerating drug discovery effor...
The degree of motor impairment and profile of recovery after stroke are difficult to predict for eac...
In patients with acute pulmonary embolism (PE), timely intervention (e.g., initiation of anticoagul...
Artificial intelligence (AI) techniques for intelligent mobile computing in healthcare has opened up...
Groundwater vulnerability assessment systems have been developed to protect groundwater resources. T...
BACKGROUND: Endovascular thrombectomy (EVT) duration is an important predictor for neurological outc...
OBJECTIVES: Acute ischemic stroke (AIS) is an emergency requiring both fast and informative MR seque...
BACKGROUND: Collateral status is an important predictor for the outcome of acute ischemic stroke wit...
Robotic rehabilitation of the upper limb has demonstrated promising results in terms of the improvem...
The last decade has seen significant advances in the accumulation of medical data, the computational...
BACKGROUND: Artificial intelligence applications have gained traction in the field of cerebrovascula...
The purpose of this study is to understand the relationship between social capital and the performan...
There are considerable interests in automatic stroke lesion segmentation on magnetic resonance (MR) ...
Identifying the cerebral arterial branches is essential for undertaking a computational approach to ...
In this paper, a system to assess dyspnea with the mMRC scale, on the phone, via deep learning, is p...