AIMC Topic: Diagnosis, Differential
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Artificial intelligence using deep learning analysis of endoscopic ultrasonography images for the differential diagnosis of pancreatic masses.
Endoscopy
Jun 10, 2022
BACKGROUND : There are several types of pancreatic mass, so it is important to distinguish between them before treatment. Artificial intelligence (AI) is a mathematical technique that automates learning and recognition of data patterns. This study ai...
Deep learning model developed by multiparametric MRI in differential diagnosis of parotid gland tumors.
European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
May 21, 2022
PURPOSE: To create a new artificial intelligence approach based on deep learning (DL) from multiparametric MRI in the differential diagnosis of common parotid tumors.
Decoding the dopamine transporter imaging for the differential diagnosis of parkinsonism using deep learning.
European journal of nuclear medicine and molecular imaging
May 19, 2022
PURPOSE: This work attempts to decode the discriminative information in dopamine transporter (DAT) imaging using deep learning for the differential diagnosis of parkinsonism.
Combining multiparametric MRI features-based transfer learning and clinical parameters: application of machine learning for the differentiation of uterine sarcomas from atypical leiomyomas.
European radiology
May 18, 2022
OBJECTIVES: To explore the feasibility and effectiveness of machine learning (ML) based on multiparametric magnetic resonance imaging (mp-MRI) features extracted from transfer learning combined with clinical parameters to differentiate uterine sarcom...
Dark-Lumen Magnetic Resonance Image Based on Artificial Intelligence Algorithm in Differential Diagnosis of Colon Cancer.
Computational intelligence and neuroscience
Mar 27, 2022
This research was aimed investigate the application value and diagnostic effect of dark-lumen magnetic resonance imaging (dark-lumen MRI) based on artificial intelligence algorithm on colon cancer. A total of 98 patients with ulcerated colon cancer ...
Evaluation of Artificial Intelligence-Assisted Diagnosis of Skin Neoplasms: A Single-Center, Paralleled, Unmasked, Randomized Controlled Trial.
The Journal of investigative dermatology
Feb 18, 2022
TRIAL DESIGN: This was a single-center, unmasked, paralleled, randomized controlled trial.
A multimodal deep learning system to distinguish late stages of AMD and to compare expert vs. AI ocular biomarkers.
Scientific reports
Feb 16, 2022
Within the next 1.5 decades, 1 in 7 U.S. adults is anticipated to suffer from age-related macular degeneration (AMD), a degenerative retinal disease which leads to blindness if untreated. Optical coherence tomography angiography (OCTA) has become a p...
Assessing central serous chorioretinopathy with deep learning and multiple optical coherence tomography images.
Scientific reports
Feb 3, 2022
Central serous chorioretinopathy (CSC) is one of the most common macular diseases that can reduce the quality of life of patients. This study aimed to build a deep learning-based classification model using multiple spectral domain optical coherence t...
Differentiation of intestinal tuberculosis and Crohn's disease through an explainable machine learning method.
Scientific reports
Feb 2, 2022
Differentiation between Crohn's disease and intestinal tuberculosis is difficult but crucial for medical decisions. This study aims to develop an effective framework to distinguish these two diseases through an explainable machine learning (ML) model...
Distribution Characteristics of ST-Segment Elevation Myocardial Infarction and Non-ST-Segment Elevation Myocardial Infarction Culprit Lesion in Acute Myocardial Infarction Patients Based on Coronary Angiography Diagnosis.
Computational and mathematical methods in medicine
Feb 2, 2022
This research was aimed at exploring the application value of coronary angiography (CAG) based on a convolutional neural network algorithm in analyzing the distribution characteristics of ST-segment elevation myocardial infarction (STEMI) and non-ST-...
Humans
Electrocardiography
Coronary Vessels
Male
Non-ST Elevated Myocardial Infarction
Angiography, Digital Subtraction
Neural Networks, Computer
Middle Aged
Diagnosis, Differential
Algorithms
Coronary Angiography
Computational Biology
Aged, 80 and over
ST Elevation Myocardial Infarction
Myocardial Infarction
Adult
Female
Early Diagnosis
Aged
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