AIMC Topic: Diagnosis, Differential
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Automated detection of cervical ossification of the posterior longitudinal ligament in plain lateral radiographs of the cervical spine using a convolutional neural network.
Scientific reports
Jun 16, 2021
Cervical ossification of the posterior longitudinal ligament (OPLL) is a contributing factor to spinal cord injury or trauma-induced myelopathy in the elderly. To reduce the incidence of these traumas, it is essential to diagnose OPLL at an early sta...
Deep-learning based classification distinguishes sarcomatoid malignant mesotheliomas from benign spindle cell mesothelial proliferations.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Jun 10, 2021
Sarcomatoid mesothelioma is an aggressive malignancy that can be challenging to distinguish from benign spindle cell mesothelial proliferations based on biopsy, and this distinction is crucial to patient treatment and prognosis. A novel deep learning...
An Overview of Deep Learning Techniques on Chest X-Ray and CT Scan Identification of COVID-19.
Computational and mathematical methods in medicine
Jun 4, 2021
Pneumonia is an infamous life-threatening lung bacterial or viral infection. The latest viral infection endangering the lives of many people worldwide is the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes COVID-19. This pa...
COVID-19 Diagnosis Using an Enhanced Inception-ResNetV2 Deep Learning Model in CXR Images.
Journal of healthcare engineering
Jun 3, 2021
The COVID-19 pandemic has a significant negative effect on people's health, as well as on the world's economy. Polymerase chain reaction (PCR) is one of the main tests used to detect COVID-19 infection. However, it is expensive, time-consuming, and l...
A Preliminary Study of Deep-Learning Algorithm for Analyzing Multiplex Immunofluorescence Biomarkers in Body Fluid Cytology Specimens.
Acta cytologica
Jun 2, 2021
INTRODUCTION: Multiplex biomarker analysis of cytological body fluid specimens is often used to assist cytologists in distiguishing metastatic cancer cells from reactive mesothelial cells. However, evaluating biomarker expression visually may be chal...
Predictive Value of Tests
Microscopy, Fluorescence
Feasibility Studies
Fluorescent Antibody Technique
Cytodiagnosis
Pleural Effusion, Malignant
Image Processing, Computer-Assisted
Adenocarcinoma
Diagnosis, Differential
Biomarkers, Tumor
Diagnosis, Computer-Assisted
Deep Learning
Humans
Retrospective Studies
Reproducibility of Results
Evaluating atypical language in autism using automated language measures.
Scientific reports
May 26, 2021
Measurement of language atypicalities in Autism Spectrum Disorder (ASD) is cumbersome and costly. Better language outcome measures are needed. Using language transcripts, we generated Automated Language Measures (ALMs) and tested their validity. 169 ...
Attention Deficit Disorder with Hyperactivity
Language Disorders
Diagnosis, Differential
Natural Language Processing
Language Tests
Autism Spectrum Disorder
Logistic Models
Female
Magnetic Resonance Imaging
Male
Models, Neurological
Adolescent
Child
Severity of Illness Index
Functional Neuroimaging
Humans
Effects of a Differential Diagnosis List of Artificial Intelligence on Differential Diagnoses by Physicians: An Exploratory Analysis of Data from a Randomized Controlled Study.
International journal of environmental research and public health
May 23, 2021
A diagnostic decision support system (DDSS) is expected to reduce diagnostic errors. However, its effect on physicians' diagnostic decisions remains unclear. Our study aimed to assess the prevalence of diagnoses from artificial intelligence (AI) in p...
Clinical value of radiomics and machine learning in breast ultrasound: a multicenter study for differential diagnosis of benign and malignant lesions.
European radiology
May 21, 2021
OBJECTIVES: We aimed to assess the performance of radiomics and machine learning (ML) for classification of non-cystic benign and malignant breast lesions on ultrasound images, compare ML's accuracy with that of a breast radiologist, and verify if th...
Differential diagnosis of benign and malignant vertebral fracture on CT using deep learning.
European radiology
May 16, 2021
OBJECTIVES: To evaluate the performance of deep learning using ResNet50 in differentiation of benign and malignant vertebral fracture on CT.
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