AIMC Topic: Reference Standards

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Soft coagulation in robot-assisted partial nephrectomy without renorrhaphy: Comparison with standard suture.

International journal of urology : official journal of the Japanese Urological Association Feb 8, 2020
Humans Robotics Kidney Neoplasms Reference Standards Suture Techniques Nephrectomy Laparoscopy Robotic Surgical Procedures Sutures
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Detection of mesial temporal lobe epileptiform discharges on intracranial electrodes using deep learning.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Nov 11, 2019
OBJECTIVE: Develop a high-performing algorithm to detect mesial temporal lobe (mTL) epileptiform discharges on intracranial electrode recordings.
Foramen Ovale Electrocorticography Electrodes, Implanted Temporal Lobe Deep Learning ROC Curve Area Under Curve Adult Reference Standards Sensitivity and Specificity Epilepsy, Temporal Lobe Male Artifacts Datasets as Topic Humans Algorithms Female
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An Ophthalmologist's Guide to Deciphering Studies in Artificial Intelligence.

Ophthalmology Sep 21, 2019
Humans Neural Networks, Computer Peer Review, Research Eye Diseases Reference Standards Ophthalmologists Artificial Intelligence Biomedical Research Image Processing, Computer-Assisted
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Assessment of Machine Learning of Breast Pathology Structures for Automated Differentiation of Breast Cancer and High-Risk Proliferative Lesions.

JAMA network open Aug 2, 2019
IMPORTANCE: Following recent US Food and Drug Administration approval, adoption of whole slide imaging in clinical settings may be imminent, and diagnostic accuracy, particularly among challenging breast biopsy specimens, may benefit from computerize...
Carcinoma, Ductal Registries Carcinoma, Intraductal, Noninfiltrating Reference Standards Neural Networks, Computer Machine Learning Female Sensitivity and Specificity Breast Neoplasms Biopsy Humans
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A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning.

PloS one Jul 12, 2019
BACKGROUND: Detection of pulmonary nodules is an important aspect of an automatic detection system. Incomputer-aided diagnosis (CAD) systems, the ability to detect pulmonary nodules is highly important, which plays an important role in the diagnosis ...
Multiple Pulmonary Nodules Diagnosis, Computer-Assisted Solitary Pulmonary Nodule Humans Radiographic Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Neural Networks, Computer Early Detection of Cancer False Positive Reactions Lung Neoplasms Tomography, X-Ray Computed Reference Standards
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Automated Flow Cytometric MRD Assessment in Childhood Acute B- Lymphoblastic Leukemia Using Supervised Machine Learning.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Jul 7, 2019
Minimal residual disease (MRD) as measured by multiparameter flow cytometry (FCM) is an independent and strong prognostic factor in B-cell acute lymphoblastic leukemia (B-ALL). However, reliable flow cytometric detection of MRD strongly depends on op...
Neoplasm, Residual Precursor B-Cell Lymphoblastic Leukemia-Lymphoma Bone Marrow Supervised Machine Learning Reference Standards Flow Cytometry Immunophenotyping Humans Child
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Consensus Development of a Modern Ontology of Emergency Department Presenting Problems-The Hierarchical Presenting Problem Ontology (HaPPy).

Applied clinical informatics Jun 12, 2019
OBJECTIVE: Numerous attempts have been made to create a standardized "presenting problem" or "chief complaint" list to characterize the nature of an emergency department visit. Previous attempts have failed to gain widespread adoption as they were no...
Biological Ontologies Reference Standards Consensus Emergency Service, Hospital Ambulatory Care Humans Female Male Middle Aged
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ProteinNet: a standardized data set for machine learning of protein structure.

BMC bioinformatics Jun 11, 2019
BACKGROUND: Rapid progress in deep learning has spurred its application to bioinformatics problems including protein structure prediction and design. In classic machine learning problems like computer vision, progress has been driven by standardized ...
Proteins Databases, Protein Amino Acid Sequence Reference Standards Sequence Alignment Machine Learning
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Machine learning approach for distinguishing malignant and benign lung nodules utilizing standardized perinodular parenchymal features from CT.

Medical physics Jun 7, 2019
PURPOSE: Computed tomography (CT) is an effective method for detecting and characterizing lung nodules in vivo. With the growing use of chest CT, the detection frequency of lung nodules is increasing. Noninvasive methods to distinguish malignant from...
Humans Machine Learning Lung Neoplasms Diagnosis, Differential Reference Standards Tomography, X-Ray Computed Female Adult Male Middle Aged Image Processing, Computer-Assisted
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High-Sensitivity Determination of Nutrient Elements in by Laser-induced Breakdown Spectroscopy and Chemometric Methods.

Molecules (Basel, Switzerland) Apr 18, 2019
High-accuracy and fast detection of nutritive elements in traditional Chinese medicine (PN) is beneficial for providing useful assessment of the healthy alimentation and pharmaceutical value of PN herbs. Laser-induced breakdown spectroscopy (LIBS) w...
Databases as Topic Lasers Multivariate Analysis Reference Standards Support Vector Machine Panax notoginseng Least-Squares Analysis Elements Spectrum Analysis
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