AIMC Topic: Diagnosis, Differential

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Histopathology-guided mass spectrometry differentiates benign nevi from malignant melanoma.

Journal of cutaneous pathology Nov 27, 2019
PURPOSE: Distinguishing benign nevi from malignant melanoma using current histopathological criteria may be very challenging and is one the most difficult areas in dermatopathology. The goal of this study was to identify proteomic differences, which ...
Machine Learning Female Melanoma Skin Neoplasms Aged Aged, 80 and over Humans Nevus Child, Preschool Child Proteomics Mass Spectrometry Diagnosis, Differential Melanoma, Cutaneous Malignant Young Adult Adult Male Middle Aged Adolescent
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Radiomics based on F-FDG PET/CT could differentiate breast carcinoma from breast lymphoma using machine-learning approach: A preliminary study.

Cancer medicine Nov 25, 2019
PURPOSE: Our study assessed the ability F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) radiomics to differentiate breast carcinoma from breast lymphoma using machine-learning approach.
Humans Machine Learning Lymphoma Diagnosis, Differential Positron Emission Tomography Computed Tomography Radiopharmaceuticals Fluorodeoxyglucose F18 Adult Breast Neoplasms Middle Aged ROC Curve Image Processing, Computer-Assisted Follow-Up Studies Prognosis Retrospective Studies Female Aged Aged, 80 and over
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ThalPred: a web-based prediction tool for discriminating thalassemia trait and iron deficiency anemia.

BMC medical informatics and decision making Nov 7, 2019
BACKGROUND: The hypochromic microcytic anemia (HMA) commonly found in Thailand are iron deficiency anemia (IDA) and thalassemia trait (TT). Accurate discrimination between IDA and TT is an important issue and better methods are urgently needed. Altho...
Adolescent ROC Curve Cluster Analysis Decision Trees Diagnosis, Differential Predictive Value of Tests Young Adult Adult Male Middle Aged Thailand Internet Anemia, Iron-Deficiency beta-Thalassemia Anemia, Hypochromic Humans Neural Networks, Computer Machine Learning Retrospective Studies Female
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Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP grade.

European journal of radiology Nov 6, 2019
PURPOSE: To evaluate the performance of machine learning (ML)-based computed tomography (CT) radiomics analysis for discriminating between low grade (WHO/ISUP I-II) and high grade (WHO/ISUP III-IV) clear cell renal cell carcinomas (ccRCCs).
Diagnosis, Differential Predictive Value of Tests Neoplasm Grading Image Interpretation, Computer-Assisted Kidney Neoplasms Carcinoma, Renal Cell Male Middle Aged Kidney Humans Logistic Models Machine Learning Support Vector Machine Algorithms Retrospective Studies Reproducibility of Results Tomography, X-Ray Computed Aged Female Aged, 80 and over Young Adult Adult
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Digital breast tomosynthesis versus digital mammography: integration of image modalities enhances deep learning-based breast mass classification.

European radiology Nov 5, 2019
OBJECTIVE: To evaluate the impact of utilizing digital breast tomosynthesis (DBT) or/and full-field digital mammography (FFDM), and different transfer learning strategies on deep convolutional neural network (DCNN)-based mass classification for breas...
Radiographic Image Interpretation, Computer-Assisted Breast Radiographic Image Enhancement Middle Aged Deep Learning Imaging, Three-Dimensional Mammography Diagnosis, Differential Humans Neural Networks, Computer Machine Learning Retrospective Studies Female Aged Aged, 80 and over Young Adult Adult Breast Neoplasms
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Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study.

European radiology experimental Nov 1, 2019
BACKGROUND: Our aims were to determine if features derived from texture analysis (TA) can distinguish normal, benign, and malignant tissue on automated breast ultrasound (ABUS); to evaluate whether machine learning (ML) applied to TA can categorise A...
Humans Machine Learning Retrospective Studies Middle Aged Pilot Projects Diagnosis, Differential Ultrasonography, Mammary Image Interpretation, Computer-Assisted Breast Diseases Female Aged Aged, 80 and over Adult Breast Neoplasms
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Dysmorphology in a Genomic Era.

Clinics in perinatology Oct 31, 2019
Dysmorphology is the practice of defining the morphologic phenotype of syndromic disorders. Genomic sequencing has advanced our understanding of human variation and molecular dysmorphology has evolved in response to the science of relating embryologi...
Genetics, Medical Diagnosis, Differential Genome, Human Humans Genetic Testing Neonatal Screening Phenotype Genetic Variation Terminology as Topic Infant, Newborn Abnormalities, Multiple Genomics Genetic Counseling Genotype
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Hash Transformation and Machine Learning-Based Decision-Making Classifier Improved the Accuracy Rate of Automated Parkinson's Disease Screening.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 29, 2019
Digitalized hand-drawn pattern is a noninvasive and reproducible assistive manner to obtain hand actions and motions for evaluating functional tremors and upper-limb movement disorders. In this study, spirals and straight lines in polar coordinates a...
Diagnosis, Differential Nonlinear Dynamics Automation False Positive Reactions Decision Making, Computer-Assisted Essential Tremor Adult Male Middle Aged Mass Screening Parkinson Disease Machine Learning Algorithms Female Reproducibility of Results Humans Aged Aged, 80 and over
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Deep Learning for Chest Radiograph Diagnosis in the Emergency Department.

Radiology Oct 22, 2019
BackgroundThe performance of a deep learning (DL) algorithm should be validated in actual clinical situations, before its clinical implementation.PurposeTo evaluate the performance of a DL algorithm for identifying chest radiographs with clinically r...
Sensitivity and Specificity Male Emergency Service, Hospital Middle Aged Radiography, Thoracic Deep Learning Clinical Competence Diagnosis, Differential Humans Retrospective Studies Female Aged Adult
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A speckle-tracking strain-based artificial neural network model to differentiate cardiomyopathy type.

Scandinavian cardiovascular journal : SCJ Oct 18, 2019
In heart failure, invasive angiography is often employed to differentiate ischaemic from non-ischaemic cardiomyopathy. We aim to examine the predictive value of echocardiographic strain features alone and in combination with other features to differ...
Stroke Volume Echocardiography Middle Aged Diagnosis, Computer-Assisted Diagnosis, Differential Predictive Value of Tests Heart Failure Image Interpretation, Computer-Assisted Cardiomyopathies Retrospective Studies Female Reproducibility of Results Aged Male Ventricular Function, Left Humans Neural Networks, Computer Prognosis
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