AIMC Topic: Diagnosis, Differential

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Machine learning algorithms for accurate differential diagnosis of lymphocytosis based on cell population data.

British journal of haematology May 22, 2018
Lymphocytosis Humans Machine Learning Algorithms Diagnosis, Differential
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Machine Learning-based Texture Analysis of Contrast-enhanced MR Imaging to Differentiate between Glioblastoma and Primary Central Nervous System Lymphoma.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine May 16, 2018
PURPOSE: Although advanced MRI techniques are increasingly available, imaging differentiation between glioblastoma and primary central nervous system lymphoma (PCNSL) is sometimes confusing. We aimed to evaluate the performance of image classificatio...
Humans Machine Learning Retrospective Studies ROC Curve Support Vector Machine Diagnosis, Differential Lymphoma Glioblastoma Contrast Media Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Central Nervous System Neoplasms
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Identification of Alzheimer's disease and mild cognitive impairment using multimodal sparse hierarchical extreme learning machine.

Human brain mapping May 7, 2018
Different modalities such as structural MRI, FDG-PET, and CSF have complementary information, which is likely to be very useful for diagnosis of AD and MCI. Therefore, it is possible to develop a more effective and accurate AD/MCI automatic diagnosis...
Alzheimer Disease Positron-Emission Tomography Cognitive Dysfunction Support Vector Machine Magnetic Resonance Imaging Diagnosis, Differential Male Aged Middle Aged Humans Aged, 80 and over Deep Learning Algorithms Databases, Factual Female
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Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study.

Gut May 5, 2018
OBJECTIVE: We aimed to evaluate the performance of the newly developed deep learning Radiomics of elastography (DLRE) for assessing liver fibrosis stages. DLRE adopts the radiomic strategy for quantitative analysis of the heterogeneity in two-dimensi...
Humans Prospective Studies Female Liver Cirrhosis Diagnosis, Differential Biopsy Hepatitis B, Chronic Adult Elasticity Imaging Techniques Male Deep Learning China
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Detecting oropharyngeal carcinoma using multispectral, narrow-band imaging and machine learning.

The Laryngoscope Mar 25, 2018
OBJECTIVE: To determine if multispectral narrow-band imaging (mNBI) can be used for automated, quantitative detection of oropharyngeal carcinoma (OPC).
Pattern Recognition, Automated Oropharyngeal Neoplasms Narrow Band Imaging Female Middle Aged Aged Humans Diagnosis, Differential Aged, 80 and over Machine Learning Bayes Theorem Sensitivity and Specificity Prospective Studies Carcinoma Male
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Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation.

Medical physics Mar 25, 2018
PURPOSE: To develop an automatic deep feature classification (DFC) method for distinguishing benign angiomyolipoma without visible fat (AMLwvf) from malignant clear cell renal cell carcinoma (ccRCC) from abdominal contrast-enhanced computer tomograph...
Kidney Neoplasms Carcinoma, Renal Cell Radiography, Abdominal Angiomyolipoma Sensitivity and Specificity Image Processing, Computer-Assisted Contrast Media Diagnosis, Differential Humans Machine Learning Tomography, X-Ray Computed
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Electroencephalographic derived network differences in Lewy body dementia compared to Alzheimer's disease patients.

Scientific reports Mar 15, 2018
Dementia with Lewy bodies (DLB) and Alzheimer's disease (AD) require differential management despite presenting with symptomatic overlap. Currently, there is a need of inexpensive DLB biomarkers which can be fulfilled by electroencephalography (EEG)....
Neural Networks, Computer Female Aged Male Alzheimer Disease Lewy Body Disease Humans Nerve Net Diagnosis, Differential Electroencephalography
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Development and validation of a diagnostic model for early differentiation of sepsis and non-infectious SIRS in critically ill children - a data-driven approach using machine-learning algorithms.

BMC pediatrics Mar 15, 2018
BACKGROUND: Since early antimicrobial therapy is mandatory in septic patients, immediate diagnosis and distinction from non-infectious SIRS is essential but hampered by the similarity of symptoms between both entities. We aimed to develop a diagnosti...
Diagnosis, Differential Early Diagnosis Reproducibility of Results Prospective Studies Humans Male Adolescent Critical Illness Child Machine Learning Child, Preschool Infant Female Algorithms Systemic Inflammatory Response Syndrome Infant, Newborn Sepsis Decision Support Techniques Follow-Up Studies
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Urinary Polyamine Biomarker Panels with Machine-Learning Differentiated Colorectal Cancers, Benign Disease, and Healthy Controls.

International journal of molecular sciences Mar 7, 2018
Colorectal cancer (CRC) is one of the most daunting diseases due to its increasing worldwide prevalence, which requires imperative development of minimally or non-invasive screening tests. Urinary polyamines have been reported as potential markers to...
Case-Control Studies Chromatography, Liquid Diagnosis, Differential Tandem Mass Spectrometry Polyamines Adenomatous Polyposis Coli Prognosis Reproducibility of Results Colorectal Neoplasms Biomarkers, Tumor Humans Machine Learning
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Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm.

The Journal of investigative dermatology Feb 8, 2018
We tested the use of a deep learning algorithm to classify the clinical images of 12 skin diseases-basal cell carcinoma, squamous cell carcinoma, intraepithelial carcinoma, actinic keratosis, seborrheic keratosis, malignant melanoma, melanocytic nevu...
Male Keratosis, Seborrheic Lentigo Middle Aged Warts Predictive Value of Tests Aged Humans Image Processing, Computer-Assisted Skin Deep Learning Granuloma, Pyogenic Area Under Curve Aged, 80 and over Diagnosis, Differential Software ROC Curve Datasets as Topic Keratosis, Actinic Biopsy Female Young Adult False Positive Reactions Skin Neoplasms Adult Photography
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