Latest AI and machine learning research in work force for healthcare professionals.
Textile industry is an old and effective industry in Iran. However, due to its age and high energy c...
Force-field development has undergone a revolution in the past decade with the proliferation of quan...
BACKGROUND AND OBJECTIVES: Although ML has been studied for different epidemiological and clinical i...
To investigate the impact of training sample size on the performance of deep learning-based organ au...
Network intrusion detection remains one of the major challenges in cybersecurity. In recent years, m...
Biomedical natural language processing (NLP) has an important role in extracting consequential infor...
Ear molding therapy is a nonsurgical technique to correct certain congenital auricular deformities. ...
BACKGROUND: The sequence of establishing a proximal stability or function before facilitation of the...
BACKGROUND: Ataxic gait is one of the most common and disabling symptoms in people with degenerative...
With ever increasing computational capacities, neural networks become more and more proficient at so...
Finding optimal parameters for force fields used in molecular simulation is a challenging and time-c...
BACKGROUND AND OBJECTIVE: Synthetic magnetic resonance imaging (MRI) is a low cost procedure that se...
Gait analysis based on inertial sensors has become an effective method of quantifying movement mecha...
BACKGROUND: Walking dysfunction exists in most patients after stroke. Evidence regarding gait traini...
We describe an automated workflow that connects a series of atomic simulation tools to investigate t...
Since 2000, robotic-assisted surgery has rapidly expanded into almost every surgical sub-specialty. ...
OBJECTIVE: A national robotic surgery curriculum is still developing for general surgery residents a...
Histopathological images provide a gold standard for cancer recognition and diagnosis. Existing appr...
Directed evolution of proteins often involves a greedy optimization in which the mutation in the hig...
More humans have died of tuberculosis (TB) than any other infectious disease and millions still die ...
This study aims to determine how randomly splitting a dataset into training and test sets affects th...