AIMC Topic: Female

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Comparative Effects of Different Assistance Force During Robot-Assisted Gait Training on Locomotor Functions in Patients With Subacute Stroke: An Assessor-Blind, Randomized Controlled Trial.

American journal of physical medicine & rehabilitation
OBJECTIVE: The aim of the study was to compare the effects of progressive reducing assistance force versus full assistance force controlled robot-assisted gait training combined with conventional physiotherapy on locomotor functions in patients with ...

Deep Learning in Diagnosis of Maxillary Sinusitis Using Conventional Radiography.

Investigative radiology
OBJECTIVES: The aim of this study was to compare the diagnostic performance of a deep learning algorithm with that of radiologists in diagnosing maxillary sinusitis on Waters' view radiographs.

Roles, Strengths and Challenges of Using Robots in Interventions for Children with Autism Spectrum Disorder (ASD).

Journal of autism and developmental disorders
The aim of this research was to study roles, strengths and challenges of robot-mediated interventions using robot KASPAR for children with autism spectrum disorder (ASD). Twelve focus group sessions were organized in which 70 ASD care and/or educatio...

Unhealthy Behaviors, Prevention Measures, and Neighborhood Cardiovascular Health: A Machine Learning Approach.

Journal of public health management and practice : JPHMP
This study identifies and ranks predictors of cardiovascular health at the neighborhood level in the United States. We merged the 500 Cities Data and the 2011-2015 American Community Survey to create a new data set that includes sociodemographic char...

Brain Age in Early Stages of Bipolar Disorders or Schizophrenia.

Schizophrenia bulletin
BACKGROUND: The greater presence of neurodevelopmental antecedants may differentiate schizophrenia from bipolar disorders (BD). Machine learning/pattern recognition allows us to estimate the biological age of the brain from structural magnetic resona...

Accurate Identification of Colonoscopy Quality and Polyp Findings Using Natural Language Processing.

Journal of clinical gastroenterology
OBJECTIVES: The aim of this study was to test the ability of a commercially available natural language processing (NLP) tool to accurately extract examination quality-related and large polyp information from colonoscopy reports with varying report fo...

[Current applications of artificial intelligence in tumor histopathology].

Zhonghua zhong liu za zhi [Chinese journal of oncology]
The tasks of artificial intelligence (AI) in tumor histopathology include image segmentation and classification. Currently, the specific contents including lymph node metastasis, pathological classification, grade and prognostic evaluation of maligna...

Morphology-based prediction of cancer cell migration using an artificial neural network and a random decision forest.

Integrative biology : quantitative biosciences from nano to macro
Metastasis is the cause of death in most patients of breast cancer and other solid malignancies. Identification of cancer cells with highly migratory capability to metastasize relies on markers for epithelial-to-mesenchymal transition (EMT), a proces...