AIMC Topic: Humans

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Is There Value for Artificial Intelligence Applications in Molecular Imaging and Nuclear Medicine?

Journal of nuclear medicine : official publication, Society of Nuclear Medicine May 3, 2019
Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Molecular Imaging Pattern Recognition, Automated Software Algorithms Quality of Life Humans Nuclear Medicine Artificial Intelligence
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Machine learning for prediction of chemoradiation therapy response in rectal cancer using pre-treatment and mid-radiation multi-parametric MRI.

Magnetic resonance imaging May 3, 2019
PURPOSE: To predict the neoadjuvant chemoradiation therapy (CRT) response in patients with locally advanced rectal cancer (LARC) using radiomics and deep learning based on pre-treatment MRI and a mid-radiation follow-up MRI taken 3-4 weeks after the ...
Multiparametric Magnetic Resonance Imaging Tumor Burden Image Enhancement Chemoradiotherapy Diffusion Magnetic Resonance Imaging Predictive Value of Tests Rectum Rectal Neoplasms Humans Machine Learning Female Reproducibility of Results Male Middle Aged Treatment Outcome Contrast Media
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Robotic surgery: how to safely and beneficially approach the age of maturity.

Minerva anestesiologica May 3, 2019
(1)
Robotics Humans Robotic Surgical Procedures Female Anesthesia Consensus Gynecologic Surgical Procedures
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Research on Patient Satisfaction of Robotic Telerounding: A Pilot Study in a Korean Population.

Urology May 3, 2019
OBJECTIVES: To evaluate the efficacy and functionality of robotic telerounding among Korean patients using the RP-7 robot system and a questionnaire survey comparing the results of robotic telerounding and standard rounding in Korean patients.
Telemedicine Patient Satisfaction Urologic Surgical Procedures Teaching Rounds Pilot Projects Robotics Self Report Humans Republic of Korea Female Aged Male Middle Aged
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Dynamic contrast-enhanced computed tomography diagnosis of primary liver cancers using transfer learning of pretrained convolutional neural networks: Is registration of multiphasic images necessary?

International journal of computer assisted radiology and surgery May 3, 2019
PURPOSE: To evaluate the effect of image registration on the diagnostic performance of transfer learning (TL) using pretrained convolutional neural networks (CNNs) and three-phasic dynamic contrast-enhanced computed tomography (DCE-CT) for primary li...
Female Reproducibility of Results Aged Male Humans Neural Networks, Computer Algorithms Retrospective Studies Image Processing, Computer-Assisted Middle Aged Contrast Media Liver Neoplasms Tomography, Spiral Computed Carcinoma, Hepatocellular
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Use of artificial intelligence (AI) in the interpretation of intrapartum fetal heart rate (FHR) tracings: a systematic review and meta-analysis.

Archives of gynecology and obstetrics May 3, 2019
OBJECTIVES: To determine the degree of inter-rater reliability (IRR) between human and artificial intelligence (AI) interpretation of fetal heart rate tracings (FHR), and to determine whether AI-assisted electronic fetal monitoring interpretation imp...
Artificial Intelligence Cardiotocography Pregnancy Heart Rate, Fetal Female Infant, Newborn Humans
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Prediction of Orthosteric and Allosteric Regulations on Cannabinoid Receptors Using Supervised Machine Learning Classifiers.

Molecular pharmaceutics May 3, 2019
Designing highly selective compounds to protein subtypes and developing allosteric modulators targeting them are critical considerations to both drug discovery and mechanism studies for cannabinoid receptors. It is challenging but in demand to have c...
Animals Support Vector Machine Receptors, Cannabinoid Allosteric Regulation Humans Machine Learning Algorithms
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Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm.

Computers in biology and medicine May 3, 2019
Recent analysis identified distinct genomic subtypes of lower-grade glioma tumors which are associated with shape features. In this study, we propose a fully automatic way to quantify tumor imaging characteristics using deep learning-based segmentati...
DNA Methylation MicroRNAs Chromosomes, Human, Pair 1 Image Processing, Computer-Assisted Humans Models, Biological Genome, Human Chromosomes, Human, Pair 19 Gene Expression Regulation, Neoplastic Base Sequence Deep Learning DNA, Neoplasm Glioma Chromosome Deletion RNA, Neoplasm
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Spatiotemporal gait characteristic changes with gait training using the hybrid assistive limb for chronic stroke patients.

Gait & posture May 3, 2019
BACKGROUND: Robotic rehabilitation has been attracting attention as a means to carry out "intensive", "repetitive", "task-specific", gait training. The newly developed robotic device, the Hybrid Assistive Limb (HAL), is thought to have the possibilit...
Robotics Stroke Gait Exercise Therapy Walking Speed Extremities Stroke Rehabilitation Male Middle Aged Spatio-Temporal Analysis Chronic Disease Aged Humans Young Adult Female Adult
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Performance of a Deep Learning Model vs Human Reviewers in Grading Endoscopic Disease Severity of Patients With Ulcerative Colitis.

JAMA network open May 3, 2019
IMPORTANCE: Assessing endoscopic disease severity in ulcerative colitis (UC) is a key element in determining therapeutic response, but its use in clinical practice is limited by the requirement for experienced human reviewers.
Colonoscopy Severity of Illness Index Deep Learning Reproducibility of Results Colitis, Ulcerative Humans Video Recording Adult Retrospective Studies Male Female Middle Aged
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