AIMC Topic: Humans

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Classification of large-scale image database of various skin diseases using deep learning.

International journal of computer assisted radiology and surgery Jul 26, 2021
PURPOSE: The purpose of this study was to develop a deep learning-based computer-aided diagnosis system for skin disease classification using photographic images of patients. The targets are 59 skin diseases, including localized and diffuse diseases ...
Humans Skin Neoplasms Reproducibility of Results Photography Deep Learning Skin Diseases
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Application of Artificial Intelligence to Cardiovascular Computed Tomography.

Korean journal of radiology Jul 26, 2021
Cardiovascular computed tomography (CT) is among the most active fields with ongoing technical innovation related to image acquisition and analysis. Artificial intelligence can be incorporated into various clinical applications of cardiovascular CT, ...
Tomography, X-Ray Computed Humans Coronary Vessels Artificial Intelligence
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Comparison of Supervised Machine Learning Algorithms for Classifying of Home Discharge Possibility in Convalescent Stroke Patients: A Secondary Analysis.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 26, 2021
OBJECTIVES: Classifying the possibility of home discharge is important during stroke rehabilitation to support decision-making. There have been several studies on supervised machine learning algorithms, but only a few have compared the performance of...
Humans Decision Support Techniques Databases, Factual Prognosis Female Patient Discharge Aged Stroke Supervised Machine Learning Stroke Rehabilitation Aged, 80 and over Support Vector Machine Male Decision Trees Middle Aged Discriminant Analysis
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Identification of Tissue of Origin and Guided Therapeutic Applications in Cancers of Unknown Primary Using Deep Learning and RNA Sequencing (TransCUPtomics).

The Journal of molecular diagnostics : JMD Jul 26, 2021
Cancers of unknown primary (CUP) are metastatic cancers for which the primary tumor is not found despite thorough diagnostic investigations. Multiple molecular assays have been proposed to identify the tissue of origin (TOO) and inform clinical care;...
Data Accuracy Neoplasms, Unknown Primary Gene Fusion Biomarkers, Tumor Humans Male Retrospective Studies Aged Prospective Studies Middle Aged Transcriptome Aged, 80 and over Female Adult Deep Learning RNA-Seq
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A hybrid machine learning/pharmacokinetic approach outperforms maximum a posteriori Bayesian estimation by selectively flattening model priors.

CPT: pharmacometrics & systems pharmacology Jul 26, 2021
Model-informed precision dosing (MIPD) approaches typically apply maximum a posteriori (MAP) Bayesian estimation to determine individual pharmacokinetic (PK) parameters with the goal of optimizing future dosing regimens. This process combines knowled...
Anti-Bacterial Agents Female Vancomycin Aged Drug Dosage Calculations Aged, 80 and over Pharmacokinetics Adult Middle Aged Humans Male Bayes Theorem Machine Learning Models, Biological
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Graph-theory based degree centrality combined with machine learning algorithms can predict response to treatment with antiepileptic medications in children with epilepsy.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Jul 26, 2021
BACKGROUND AND PURPOSE: The purpose of the current study is to detect changes of graph-theory-based degree centrality (DC) and their relationship with the clinical treatment effects of anti-epileptic drugs (AEDs) for patients with childhood absence e...
Epilepsy, Absence Machine Learning Magnetic Resonance Imaging Brain Humans Brain Mapping Child Anticonvulsants
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Robot-assisted gait training in individuals with spinal cord injury: A systematic review for the clinical effectiveness of Lokomat.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Jul 26, 2021
BACKGROUND: Spinal cord injury (SCI) is a critical medical condition that causes numerous impairments leading to accompanying disability. Robotic-assisted gait training (RAGT) offers many advantages, including the capability to increase the intensity...
Quality of Life Pilot Projects Treatment Outcome Humans Randomized Controlled Trials as Topic Robotics Walking Gait Spinal Cord Injuries
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Deep learning for segmentation in radiation therapy planning: a review.

Journal of medical imaging and radiation oncology Jul 26, 2021
Segmentation of organs and structures, as either targets or organs-at-risk, has a significant influence on the success of radiation therapy. Manual segmentation is a tedious and time-consuming task for clinicians, and inter-observer variability can a...
Humans Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Organs at Risk Radiotherapy Planning, Computer-Assisted
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A Deep Learning-Based Automatic First-Arrival Picking Method for Ultrasound Sound-Speed Tomography.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Jul 26, 2021
Ultrasound sound-speed tomography (USST) has shown great prospects for breast cancer diagnosis due to its advantages of nonradiation, low cost, 3-D breast images, and quantitative indicators. However, the reconstruction quality of USST is highly depe...
Ultrasonography Humans Sound Tomography, X-Ray Computed Signal-To-Noise Ratio Deep Learning
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User Experience in Social Robots.

Sensors (Basel, Switzerland) Jul 26, 2021
Social robots are increasingly penetrating our daily lives. They are used in various domains, such as healthcare, education, business, industry, and culture. However, introducing this technology for use in conventional environments is not trivial. Fo...
Surveys and Questionnaires Humans Robotics Social Interaction Delivery of Health Care Technology
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