AIMC Topic: Diagnosis, Differential

Clear Filters Showing 311 to 320 of 753 articles

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-...
Early Diagnosis Coronary Vessels Angiography, Digital Subtraction Diagnosis, Differential ST Elevation Myocardial Infarction Coronary Angiography Myocardial Infarction Middle Aged Computational Biology Electrocardiography Non-ST Elevated Myocardial Infarction Humans Neural Networks, Computer Algorithms Aged, 80 and over Adult Male Female Aged
View on PubMed DOI

A deep learning-based method for the diagnosis of vertebral fractures on spine MRI: retrospective training and validation of ResNet.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Jan 28, 2022
PURPOSE: To improve the performance of less experienced clinicians in the diagnosis of benign and malignant spinal fracture on MRI, we applied the ResNet50 algorithm to develop a decision support system.
Spinal Neoplasms Spinal Fractures Humans Retrospective Studies Deep Learning Magnetic Resonance Imaging Diagnosis, Differential
View on PubMed DOI

Automated detection of COVID-19 through convolutional neural network using chest x-ray images.

PloS one Jan 21, 2022
The COVID-19 epidemic has a catastrophic impact on global well-being and public health. More than 27 million confirmed cases have been reported worldwide until now. Due to the growing number of confirmed cases, and challenges to the variations of the...
Databases, Factual Female SARS-CoV-2 Male Case-Control Studies Humans COVID-19 Radiography, Thoracic Pneumonia, Bacterial Deep Learning ROC Curve Diagnosis, Differential Image Interpretation, Computer-Assisted
View on PubMed DOI

A data-driven ultrasound approach discriminates pathological high grade prostate cancer.

Scientific reports Jan 17, 2022
Accurate prostate cancer screening is imperative for reducing the risk of cancer death. Ultrasound imaging, although easy, tends to have low resolution and high inter-observer variability. Here, we show that our integrated machine learning approach e...
Humans Machine Learning Aged Male Triage Area Under Curve Middle Aged Prostatic Neoplasms Ultrasonography Neoplasm Grading Early Detection of Cancer Prostate Diagnosis, Differential
View on PubMed DOI

Oncocytoma-Related Gene Signature to Differentiate Chromophobe Renal Cancer and Oncocytoma Using Machine Learning.

Cells Jan 15, 2022
Publicly available gene expression datasets were analyzed to develop a chromophobe and oncocytoma related gene signature (COGS) to distinguish chRCC from RO. The datasets GSE11151, GSE19982, GSE2109, GSE8271 and GSE11024 were combined into a discover...
Carbohydrate Metabolism Genes, Neoplasm Adenoma, Oxyphilic Warburg Effect, Oncologic Algorithms Humans Reproducibility of Results Machine Learning Gene Expression Profiling ROC Curve Gene Expression Regulation, Neoplastic Databases, Genetic Diagnosis, Differential Carcinoma, Renal Cell
View on PubMed DOI

Joint segmentation and classification of breast masses based on ultrasound radio-frequency data and convolutional neural networks.

Ultrasonics Jan 14, 2022
In this paper, we propose a novel deep learning method for joint classification and segmentation of breast masses based on radio-frequency (RF) ultrasound (US) data. In comparison to commonly used classification and segmentation techniques, utilizing...
Retrospective Studies Diagnosis, Differential Ultrasonography, Mammary Data Compression Humans Neural Networks, Computer Breast Diseases Radio Waves
View on PubMed DOI

Weakly-supervised deep learning for ultrasound diagnosis of breast cancer.

Scientific reports Dec 21, 2021
Conventional deep learning (DL) algorithm requires full supervision of annotating the region of interest (ROI) that is laborious and often biased. We aimed to develop a weakly-supervised DL algorithm that diagnosis breast cancer at ultrasound without...
Retrospective Studies Female Aged Aged, 80 and over Young Adult Adult Breast Neoplasms Middle Aged Humans Neural Networks, Computer Algorithms Prognosis Image Interpretation, Computer-Assisted Follow-Up Studies Case-Control Studies Deep Learning Diagnosis, Differential Adolescent Ultrasonography, Mammary ROC Curve Breast
View on PubMed DOI

Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2021
A novel coronavirus (COVID-19) recently emerged as an acute respiratory syndrome, and has caused a pneumonia outbreak world-widely. As the COVID-19 continues to spread rapidly across the world, computed tomography (CT) has become essentially importan...
Computational Biology SARS-CoV-2 Case-Control Studies Models, Statistical Diagnosis, Computer-Assisted Humans Diagnosis, Differential Deep Learning COVID-19 Pneumonia, Bacterial China Tomography, X-Ray Computed
View on PubMed DOI

Data-driven identification of diagnostically useful extrastriatal signal in dopamine transporter SPECT using explainable AI.

Scientific reports Nov 25, 2021
This study used explainable artificial intelligence for data-driven identification of extrastriatal brain regions that can contribute to the interpretation of dopamine transporter SPECT with I-FP-CIT in parkinsonian syndromes. A total of 1306 I-FP-CI...
Radiopharmaceuticals Reproducibility of Results Dopamine Plasma Membrane Transport Proteins Image Interpretation, Computer-Assisted Parkinson Disease Humans Nerve Degeneration Tomography, Emission-Computed, Single-Photon Diagnosis, Differential Neural Networks, Computer Tropanes Predictive Value of Tests Brain Retrospective Studies
View on PubMed DOI

Artificial intelligence modelling in differentiating core biopsies of fibroadenoma from phyllodes tumor.

Laboratory investigation; a journal of technical methods and pathology Nov 24, 2021
Breast fibroepithelial lesions (FEL) are biphasic tumors which consist of benign fibroadenomas (FAs) and the rarer phyllodes tumors (PTs). FAs and PTs have overlapping features, but have different clinical management, which makes correct core biopsy ...
Diagnosis, Differential Breast Biopsy, Large-Core Needle Phyllodes Tumor Fibroadenoma Humans Artificial Intelligence Neural Networks, Computer Female Breast Neoplasms ROC Curve
View on PubMed DOI
Popular Topics
Recent Journals