AI Medical Compendium Topic:
Diagnosis, Differential

Clear Filters Showing 631 to 640 of 694 articles

Differentiating Small-Cell Lung Cancer From Non-Small-Cell Lung Cancer Brain Metastases Based on MRI Using Efficientnet and Transfer Learning Approach.

Technology in cancer research & treatment Jan 1, 2021
Differentiation between small-cell lung cancer (SCLC) from non-small-cell lung cancer (NSCLC) brain metastases is crucial due to the different clinical behaviors of the two tumor types. We propose the use of a deep learning and transfer learning appr...
Magnetic Resonance Imaging Diagnosis, Differential Image Interpretation, Computer-Assisted Small Cell Lung Carcinoma ROC Curve Lung Neoplasms Carcinoma, Non-Small-Cell Lung Follow-Up Studies Humans Machine Learning Prognosis Retrospective Studies Female Brain Neoplasms Male Middle Aged
View on PubMed DOI

Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections.

Journal of X-ray science and technology Jan 1, 2021
BACKGROUND: Accurate and rapid diagnosis of coronavirus disease (COVID-19) is crucial for timely quarantine and treatment.
Humans Female SARS-CoV-2 Aged Young Adult Adult Artificial Intelligence COVID-19 Algorithms Tomography, X-Ray Computed Deep Learning Clinical Competence Diagnosis, Differential Radiologists Sensitivity and Specificity Respiratory Tract Infections Male Middle Aged Lung
View on PubMed DOI

Ultrasound image analysis using deep neural networks for discriminating between benign and malignant ovarian tumors: comparison with expert subjective assessment.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Jan 1, 2021
OBJECTIVES: To develop and test the performance of computerized ultrasound image analysis using deep neural networks (DNNs) in discriminating between benign and malignant ovarian tumors and to compare its diagnostic accuracy with that of subjective a...
Ultrasonography, Doppler Adnexal Diseases Humans Retrospective Studies Female Sensitivity and Specificity Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Diagnosis, Differential Ovarian Neoplasms
View on PubMed DOI

A Deep Neural Network to Distinguish COVID-19 from other Chest Diseases Using X-ray Images.

Current medical imaging Jan 1, 2021
BACKGROUND: Scanning a patient's lungs to detect Coronavirus 2019 (COVID-19) may lead to similar imaging of other chest diseases. Thus, a multidisciplinary approach is strongly required to confirm the diagnosis. There are only a few works targeted at...
COVID-19 Child, Preschool Male Female Humans Middle Aged Child Aged Neural Networks, Computer Infant Diagnosis, Differential Young Adult Adolescent Radiography, Thoracic Adult Thoracic Diseases
View on PubMed DOI

Does Artificial Intelligence Outperform Natural Intelligence in Interpreting Musculoskeletal Radiological Studies? A Systematic Review.

Clinical orthopaedics and related research Dec 1, 2020
BACKGROUND: Machine learning (ML) is a subdomain of artificial intelligence that enables computers to abstract patterns from data without explicit programming. A myriad of impactful ML applications already exists in orthopaedics ranging from predicti...
Orthopedic Surgeons Radiographic Image Interpretation, Computer-Assisted Musculoskeletal Diseases Pattern Recognition, Automated Visual Perception Musculoskeletal System Ultrasonography Magnetic Resonance Imaging Diagnosis, Differential Predictive Value of Tests Humans Machine Learning Reproducibility of Results Clinical Competence
View on PubMed DOI

A Novel Machine Learning-derived Radiomic Signature of the Whole Lung Differentiates Stable From Progressive COVID-19 Infection: A Retrospective Cohort Study.

Journal of thoracic imaging Nov 1, 2020
OBJECTIVE: This study aimed to use the radiomics signatures of a machine learning-based tool to evaluate the prognosis of patients with coronavirus disease 2019 (COVID-19) infection.
Humans Machine Learning Disease Progression Lung Severity of Illness Index Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Diagnosis, Differential SARS-CoV-2 Sensitivity and Specificity COVID-19 Male Retrospective Studies Tomography, X-Ray Computed Female Middle Aged
View on PubMed DOI

Using deep-learning algorithms to classify fetal brain ultrasound images as normal or abnormal.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Oct 1, 2020
OBJECTIVES: To evaluate the feasibility of using deep-learning algorithms to classify as normal or abnormal sonographic images of the fetal brain obtained in standard axial planes.
Deep Learning ROC Curve Image Processing, Computer-Assisted Diagnosis, Differential Feasibility Studies Fetus Nervous System Malformations Brain Pregnancy Female Sensitivity and Specificity Ultrasonography, Prenatal Humans
View on PubMed DOI

Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation.

The Lancet. Digital health Jun 1, 2020
BACKGROUND: The diagnostic performance of CT for pancreatic cancer is interpreter-dependent, and approximately 40% of tumours smaller than 2 cm evade detection. Convolutional neural networks (CNNs) have shown promise in image analysis, but the networ...
Pancreas Racial Groups Radiographic Image Enhancement Taiwan Diagnosis, Differential Pancreatic Neoplasms Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Female Reproducibility of Results Aged Sensitivity and Specificity Humans Male Retrospective Studies Middle Aged Deep Learning Contrast Media
View on PubMed DOI

Machine Learning Methods for Optimal Radiomics-Based Differentiation Between Recurrence and Inflammation: Application to Nasopharyngeal Carcinoma Post-therapy PET/CT Images.

Molecular imaging and biology Jun 1, 2020
PURPOSE: To identify optimal machine learning methods for radiomics-based differentiation of local recurrence versus inflammation from post-treatment nasopharyngeal positron emission tomography/X-ray computed tomography (PET/CT) images.
Humans Neoplasm Recurrence, Local Machine Learning Nasopharyngeal Carcinoma ROC Curve Algorithms Nasopharyngeal Neoplasms Image Processing, Computer-Assisted Retrospective Studies Inflammation Female Diagnosis, Differential Male Positron Emission Tomography Computed Tomography
View on PubMed DOI

Study on intelligent syndrome differentiation neural network model of stomachache in traditional Chinese medicine based on the real world.

Medicine May 29, 2020
Stomachache is not only disease name of Traditional Chinese medicine (TCM) but also the clinical symptom. It is a common and multiple diseases. TCM has its particular advantage in clinical treatment of stomachache. Syndrome differentiation is an impo...
Humans Diagnosis, Differential Abdominal Pain Neural Networks, Computer Stomach Diseases Algorithms Medicine, Chinese Traditional
View on PubMed DOI
Popular Topics
Recent Journals