AIMC Topic: Female

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Electroencephalography Might Improve Diagnosis of Acute Stroke and Large Vessel Occlusion.

Stroke Sep 18, 2020
BACKGROUND AND PURPOSE: Clinical methods have incomplete diagnostic value for early diagnosis of acute stroke and large vessel occlusion (LVO). Electroencephalography is rapidly sensitive to brain ischemia. This study examined the diagnostic utility ...
Hemorrhagic Stroke Ischemic Stroke Electroencephalography Stroke Ischemic Attack, Transient Neural Networks, Computer Female Aged Aged, 80 and over Middle Aged Deep Learning Logistic Models Sensitivity and Specificity Male Humans
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Research on a Dynamic Algorithm for Cow Weighing Based on an SVM and Empirical Wavelet Transform.

Sensors (Basel, Switzerland) Sep 18, 2020
Weight is an important indicator of the growth and development of dairy cows. The traditional static weighing methods require considerable human and financial resources, and the existing dynamic weighing algorithms do not consider the influence of th...
Wavelet Analysis Humans Algorithms Cattle Female Animals Support Vector Machine Body Weight Motion
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How Social Cues in Virtual Assistants Influence Concerns and Persuasion: The Role of Voice and a Human Name.

Cyberpsychology, behavior and social networking Sep 17, 2020
The aim of this study was to test how two important types of social cues used by virtual assistants today can affect consumer concerns and persuasion. These two cues are modality (voice-based via smart speaker, voice-based via a smartphone, or text-b...
Young Adult Male User-Computer Interface Persuasive Communication Cues Voice Names Attitude to Computers Humans Artificial Intelligence Female
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Convolutional neural networks versus radiologists in characterization of small hypoattenuating hepatic nodules on CT: a critical diagnostic challenge in staging of colorectal carcinoma.

Scientific reports Sep 17, 2020
Our objective was to compare the diagnostic performance and diagnostic confidence of convolutional neural networks (CNN) to radiologists in characterizing small hypoattenuating hepatic nodules (SHHN) in colorectal carcinoma (CRC) on CT scans. Retrosp...
Female Aged Aged, 80 and over Young Adult Male Middle Aged Diagnosis, Computer-Assisted Adult Colorectal Neoplasms Humans Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Observer Variation Liver Neoplasms Expert Testimony Liver Neoplasm Staging Radiologists
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Liver imaging features by convolutional neural network to predict the metachronous liver metastasis in stage I-III colorectal cancer patients based on preoperative abdominal CT scan.

BMC bioinformatics Sep 17, 2020
BACKGROUND: Introducing deep learning approach to medical images has rendered a large amount of un-decoded information into usage in clinical research. But mostly, it has been focusing on the performance of the prediction modeling for disease-related...
Male Middle Aged Liver Neoplasms Abdomen Neoplasm Staging Preoperative Period Neural Networks, Computer Tomography, X-Ray Computed Humans Female Colorectal Neoplasms
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Increasing tendency of urine protein is a risk factor for rapid eGFR decline in patients with CKD: A machine learning-based prediction model by using a big database.

PloS one Sep 17, 2020
Artificial intelligence is increasingly being adopted in medical fields to predict various outcomes. In particular, chronic kidney disease (CKD) is problematic because it often progresses to end-stage kidney disease. However, the trajectories of kidn...
Renal Insufficiency, Chronic Glomerular Filtration Rate Humans Models, Statistical Aged Machine Learning Proteinuria Aged, 80 and over Prognosis Male Female Middle Aged
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Seeing the mind of robots: Harm augments mind perception but benevolent intentions reduce dehumanisation of artificial entities in visual vignettes.

International journal of psychology : Journal international de psychologie Sep 16, 2020
According to moral typecasting theory, good- and evil-doers (agents) interact with the recipients of their actions (patients) in a moral dyad. When this dyad is completed, mind attribution towards intentionally harmed liminal minds is enhanced. Howev...
Male Robotics Intention Social Perception Dehumanization Humans Female Adult
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Using Machine Learning to Predict Rehabilitation Outcomes in Postacute Hip Fracture Patients.

Archives of physical medicine and rehabilitation Sep 16, 2020
OBJECTIVE: To use machine learning-based methods in designing a predictive model of rehabilitation outcomes for postacute hip fracture patients.
Humans Hip Fractures Machine Learning Surveys and Questionnaires Retrospective Studies Female Physical Therapy Modalities Treatment Outcome Occupational Therapy Aged Rehabilitation Centers Disability Evaluation Subacute Care Aged, 80 and over Geriatric Assessment Male
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Evaluation of the Classification Accuracy of the Kidney Biopsy Direct Immunofluorescence through Convolutional Neural Networks.

Clinical journal of the American Society of Nephrology : CJASN Sep 16, 2020
BACKGROUND AND OBJECTIVES: Immunohistopathology is an essential technique in the diagnostic workflow of a kidney biopsy. Deep learning is an effective tool in the elaboration of medical imaging. We wanted to evaluate the role of a convolutional neura...
Adult Male Middle Aged ROC Curve Humans Neural Networks, Computer Female Aged Biopsy Fibrinogen Immunoglobulins Complement C3 Fluorescent Antibody Technique, Direct Image Processing, Computer-Assisted Kidney Kidney Diseases Area Under Curve Complement C1q Immunoglobulin kappa-Chains Immunoglobulin lambda-Chains
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Automatic Grading of Stroke Symptoms for Rapid Assessment Using Optimized Machine Learning and 4-Limb Kinematics: Clinical Validation Study.

Journal of medical Internet research Sep 16, 2020
BACKGROUND: Subtle abnormal motor signs are indications of serious neurological diseases. Although neurological deficits require fast initiation of treatment in a restricted time, it is difficult for nonspecialists to detect and objectively assess th...
Biomechanical Phenomena Male Middle Aged Stroke Humans Female Machine Learning Aged Algorithms Aged, 80 and over Adult Neurologic Examination
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