AIMC Topic: Diagnosis, Differential
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Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis.
BMC medical informatics and decision making
Sep 29, 2020
BACKGROUND: The recent Coronavirus Disease 2019 (COVID-19) pandemic has placed severe stress on healthcare systems worldwide, which is amplified by the critical shortage of COVID-19 tests.
Can natural language processing help differentiate inflammatory intestinal diseases in China? Models applying random forest and convolutional neural network approaches.
BMC medical informatics and decision making
Sep 29, 2020
BACKGROUND: Differentiating between ulcerative colitis (UC), Crohn's disease (CD) and intestinal tuberculosis (ITB) using endoscopy is challenging. We aimed to realize automatic differential diagnosis among these diseases through machine learning alg...
Deep Learning-Based Approach for the Diagnosis of Moyamoya Disease.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Sep 25, 2020
OBJECTIVES: Moyamoya disease is a unique cerebrovascular disorder that is characterized by chronic bilateral stenosis of the internal carotid arteries and by the formation of an abnormal vascular network called moyamoya vessels. In this stury, the au...
Diagnosis, Differential
Humans
Predictive Value of Tests
Retrospective Studies
Image Interpretation, Computer-Assisted
Female
Moyamoya Disease
Diagnosis, Computer-Assisted
Reproducibility of Results
Intracranial Arteriosclerosis
Deep Learning
Young Adult
Adolescent
Adult
Magnetic Resonance Imaging
Male
Middle Aged
Evaluation of the Diagnostic Accuracy of an Online Artificial Intelligence Application for Skin Disease Diagnosis.
Acta dermato-venereologica
Sep 16, 2020
Artificial intelligence (AI) algorithms for automated classification of skin diseases are available to the consumer market. Studies of their diagnostic accuracy are rare. We assessed the diagnostic accuracy of an open-access AI application (Skin Imag...
Machine Learning-Based MRI Texture Analysis to Predict the Histologic Grade of Oral Squamous Cell Carcinoma.
AJR. American journal of roentgenology
Sep 15, 2020
This study aimed to explore the performance of machine learning (ML)-based MRI texture analysis in discriminating between well-differentiated (WD) oral squamous cell carcinoma (OSCC) and moderately or poorly differentiated OSCC. The study enrolled ...
Clinically Relevant Vulnerabilities of Deep Machine Learning Systems for Skin Cancer Diagnosis.
The Journal of investigative dermatology
Sep 12, 2020
Diagnosis of congenital pigmented macules in infants with reflectance confocal microscopy and machine learning.
Journal of the American Academy of Dermatology
Sep 11, 2020
Radiomic Model for Distinguishing Dissecting Aneurysms from Complicated Saccular Aneurysms on high-Resolution Magnetic Resonance Imaging.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Sep 8, 2020
OBJECTIVE: To build radiomic model in differentiating dissecting aneurysm (DA) from complicated saccular aneurysm (SA) based on high-resolution magnetic resonance imaging (HR-MRI) through machine-learning algorithm.
Value of MR-based radiomics in differentiating uveal melanoma from other intraocular masses in adults.
European journal of radiology
Sep 8, 2020
PURPOSE: To assess the performance of machine learning (ML)-based magnetic resonance imaging (MRI) radiomics analysis for discriminating between uveal melanoma (UM) and other intraocular masses.
Uveal Melanoma
ROC Curve
Logistic Models
Support Vector Machine
Contrast Media
Magnetic Resonance Imaging
Diagnosis, Differential
Image Enhancement
Uveal Neoplasms
Male
Middle Aged
Adolescent
Child
Reproducibility of Results
Aged
Young Adult
Adult
Retrospective Studies
Female
Melanoma
Humans
Eye Neoplasms
A Methodology to Differentiate Parkinson's Disease and Aging Speech Based on Glottal Flow Acoustic Analysis.
International journal of neural systems
Sep 3, 2020
Speech is controlled by axial neuromotor systems, therefore, it is highly sensitive to the effects of neurodegenerative illnesses such as Parkinson's Disease (PD). Patients suffering from PD present important alterations in speech, which are manifest...
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