AIMC Topic: Diagnosis, Differential

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Fully-Connected Neural Networks with Reduced Parameterization for Predicting Histological Types of Lung Cancer from Somatic Mutations.

Biomolecules Aug 28, 2020
Several challenges appear in the application of deep learning to genomic data. First, the dimensionality of input can be orders of magnitude greater than the number of samples, forcing the model to be prone to overfitting the training dataset. Second...
Carcinoma, Squamous Cell Reproducibility of Results Diagnosis, Computer-Assisted Lung Neoplasms Adenocarcinoma Diagnosis, Differential Mutation Humans Neural Networks, Computer
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Automated classification of hip fractures using deep convolutional neural networks with orthopedic surgeon-level accuracy: ensemble decision-making with antero-posterior and lateral radiographs.

Acta orthopaedica Aug 12, 2020
Background and purpose - Deep-learning approaches based on convolutional neural networks (CNNs) are gaining interest in the medical imaging field. We evaluated the diagnostic performance of a CNN to discriminate femoral neck fractures, trochanteric f...
Sensitivity and Specificity Male Diagnosis, Computer-Assisted Deep Learning Neural Networks, Computer Female Aged, 80 and over Hip Fractures Femur Medical Records, Problem-Oriented Orthopedic Surgeons Humans Diagnosis, Differential Radiography Femoral Neck Fractures Outcome Assessment, Health Care
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A Simple Method to Train the AI Diagnosis Model of Pulmonary Nodules.

Computational and mathematical methods in medicine Aug 1, 2020
BACKGROUND: The differential diagnosis of subcentimetre lung nodules with a diameter of less than 1 cm has always been one of the problems of imaging doctors and thoracic surgeons. We plan to create a deep learning model for the diagnosis of pulmonar...
Multiple Pulmonary Nodules Tomography, X-Ray Computed Humans Radiographic Image Interpretation, Computer-Assisted Solitary Pulmonary Nodule Deep Learning Artificial Intelligence Expert Systems Databases, Factual Lung Neoplasms Diagnosis, Differential Expert Testimony Carcinoma, Non-Small-Cell Lung Adenocarcinoma of Lung
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Impact of radiomics on the breast ultrasound radiologist's clinical practice: From lumpologist to data wrangler.

European journal of radiology Jul 30, 2020
OBJECTIVE: The study aims to assess the impact of radiomics in the clinical practice of breast ultrasound, to determine which lesions are undetermined by the software, and to discuss the future of the radiologist's role.
Breast Female Humans Fibroadenoma Sensitivity and Specificity Artificial Intelligence Diagnosis, Differential Physician's Role Breast Neoplasms Software Phyllodes Tumor Radiologists ROC Curve Biopsy Ultrasonography, Mammary
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Radiomics and Deep Learning from Research to Clinical Workflow: Neuro-Oncologic Imaging.

Korean journal of radiology Jul 27, 2020
Imaging plays a key role in the management of brain tumors, including the diagnosis, prognosis, and treatment response assessment. Radiomics and deep learning approaches, along with various advanced physiologic imaging parameters, hold great potentia...
Optical Imaging Diagnosis, Differential Guidelines as Topic Evidence-Based Medicine Humans Prognosis Brain Neoplasms Deep Learning Imaging, Three-Dimensional
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Development and Validation of a Deep-learning Model to Assist With Renal Cell Carcinoma Histopathologic Interpretation.

Urology Jul 22, 2020
OBJECTIVE: To develop and test the ability of a convolutional neural network (CNN) to accurately identify the presence of renal cell carcinoma (RCC) on histopathology specimens, as well as differentiate RCC histologic subtype and grade.
Image Processing, Computer-Assisted Kidney Diagnosis, Differential Predictive Value of Tests Neoplasm Grading Kidney Neoplasms Carcinoma, Renal Cell Humans Deep Learning Cohort Studies
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Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning.

Medical image analysis Jul 21, 2020
The COVID-19 pandemic is causing a major outbreak in more than 150 countries around the world, having a severe impact on the health and life of many people globally. One of the crucial step in fighting COVID-19 is the ability to detect the infected p...
Humans Radiography, Thoracic Betacoronavirus Neural Networks, Computer Data Interpretation, Statistical Pneumonia, Viral Pandemics Deep Learning Radiographic Image Interpretation, Computer-Assisted COVID-19 Diagnosis, Differential Coronavirus Infections SARS-CoV-2 Predictive Value of Tests Datasets as Topic Sensitivity and Specificity
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Radiomics and Artificial Intelligence for Renal Mass Characterization.

Radiologic clinics of North America Jul 16, 2020
Radiomics allows for high throughput extraction of quantitative data from images. This is an area of active research as groups try to capture and quantify imaging parameters and convert these into descriptive phenotypes of organs or tumors. Texture a...
Kidney Neoplasms Carcinoma, Renal Cell Kidney Humans Magnetic Resonance Imaging Artificial Intelligence Diagnosis, Differential Tomography, X-Ray Computed Image Interpretation, Computer-Assisted
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Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph for the differential diagnosis of dyspnea.

Frontiers of medicine Jul 16, 2020
Dyspnea is one of the most common manifestations of patients with pulmonary disease, myocardial dysfunction, and neuromuscular disorder, among other conditions. Identifying the causes of dyspnea in clinical practice, especially for the general practi...
Diagnosis, Differential Dyspnea Artificial Intelligence Pilot Projects Causality Humans
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Using diffusion tensor imaging to detect cortical changes in fronto-temporal dementia subtypes.

Scientific reports Jul 8, 2020
Fronto-temporal dementia (FTD) is a common type of presenile dementia, characterized by a heterogeneous clinical presentation that includes three main subtypes: behavioural-variant FTD, non-fluent/agrammatic variant primary progressive aphasia and se...
Humans Machine Learning Case-Control Studies Cohort Studies Diagnosis, Differential Feasibility Studies Female Aged Male Middle Aged Cerebral Cortex Diffusion Tensor Imaging Frontotemporal Dementia Image Interpretation, Computer-Assisted Gray Matter
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