AIMC Topic: Feasibility Studies

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Utilizing Machine Learning for Image Quality Assessment for Reflectance Confocal Microscopy.

The Journal of investigative dermatology Dec 12, 2019
In vivo reflectance confocal microscopy (RCM) enables clinicians to examine lesions' morphological and cytological information in epidermal and dermal layers while reducing the need for biopsies. As RCM is being adopted more widely, the workflow is e...
Image Processing, Computer-Assisted Microscopy, Confocal Diagnosis, Differential Skin Feasibility Studies Humans Machine Learning Skin Diseases Dermoscopy Quality Control
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Feasibility study for use of angiographic parametric imaging and deep neural networks for intracranial aneurysm occlusion prediction.

Journal of neurointerventional surgery Dec 10, 2019
BACKGROUND: Angiographic parametric imaging (API), based on digital subtraction angiography (DSA), is a quantitative imaging tool that may be used to extract contrast flow parameters related to hemodynamic conditions in abnormal pathologies such as i...
Deep Learning Treatment Outcome Predictive Value of Tests Feasibility Studies Angiography, Digital Subtraction Intracranial Aneurysm Female Adult Male Humans Middle Aged Neural Networks, Computer
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Estimation of Arterial Blood Pressure Based on Artificial Intelligence Using Single Earlobe Photoplethysmography during Cardiopulmonary Resuscitation.

Journal of medical systems Dec 10, 2019
This study investigates the feasibility of estimation of blood pressure (BP) using a single earlobe photoplethysmography (Ear PPG) during cardiopulmonary resuscitation (CPR). We have designed a system that carries out Ear PPG for estimation of BP. In...
Feasibility Studies Cardiopulmonary Resuscitation Artificial Intelligence Humans Photoplethysmography Blood Pressure Determination Biofeedback, Psychology
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A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images.

European radiology Dec 6, 2019
OBJECTIVE: To develop a deep learning-based artificial intelligence (AI) scheme for predicting the likelihood of the ground-glass nodule (GGN) detected on CT images being invasive adenocarcinoma (IA) and also compare the accuracy of this AI scheme wi...
Adenocarcinoma in Situ ROC Curve Image Processing, Computer-Assisted Lung Neoplasms Solitary Pulmonary Nodule Neoplasm Invasiveness Radiologists Feasibility Studies Adenocarcinoma of Lung Middle Aged Disease Progression Deep Learning Adolescent Aged, 80 and over Young Adult Adult Humans Male Tomography, X-Ray Computed Neural Networks, Computer Artificial Intelligence Female Retrospective Studies Aged
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The clinical feasibility of deep learning-based classification of amyloid PET images in visually equivocal cases.

European journal of nuclear medicine and molecular imaging Dec 6, 2019
PURPOSE: Although most deep learning (DL) studies have reported excellent classification accuracy, these studies usually target typical Alzheimer's disease (AD) and normal cognition (NC) for which conventional visual assessment performs well. A clini...
Feasibility Studies Alzheimer Disease Aniline Compounds Positron-Emission Tomography Humans Deep Learning Amyloid beta-Peptides Amyloid
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A Deep Learning Framework for Design and Analysis of Surgical Bioprosthetic Heart Valves.

Scientific reports Dec 6, 2019
Bioprosthetic heart valves (BHVs) are commonly used as heart valve replacements but they are prone to fatigue failure; estimating their remaining life directly from medical images is difficult. Analyzing the valve performance can provide better guida...
Biomechanical Phenomena Computer-Aided Design Deep Learning Image Processing, Computer-Assisted Prosthesis Design Humans Decision Support Techniques Models, Cardiovascular Tomography, X-Ray Computed Feasibility Studies Prosthesis Failure Heart Valve Prosthesis Implantation Bioprosthesis Heart Valve Prosthesis Heart Valves Finite Element Analysis
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Convolutional Neural Network Detection of Axillary Lymph Node Metastasis Using Standard Clinical Breast MRI.

Clinical breast cancer Dec 5, 2019
BACKGROUND: Axillary lymph node status is important for breast cancer staging and treatment planning as the majority of breast cancer metastasis spreads through the axillary lymph nodes. There is currently no reliable noninvasive imaging method to de...
Sentinel Lymph Node Magnetic Resonance Imaging Radiopharmaceuticals Humans Breast Neoplasms Neural Networks, Computer Axilla Positron-Emission Tomography ROC Curve Female Datasets as Topic Anatomic Landmarks Image Processing, Computer-Assisted Reproducibility of Results Feasibility Studies Fluorodeoxyglucose F18 Lymphatic Metastasis
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Deep learning enables pathologist-like scoring of NASH models.

Scientific reports Dec 5, 2019
Non-alcoholic fatty liver disease (NAFLD) and the progressive form of non-alcoholic steatohepatitis (NASH) are diseases of major importance with a high unmet medical need. Efficacy studies on novel compounds to treat NAFLD/NASH using disease models a...
Microscopy Datasets as Topic Liver Humans Biopsy Image Processing, Computer-Assisted Animals Feasibility Studies Mice Severity of Illness Index Non-alcoholic Fatty Liver Disease Rats Deep Learning Disease Models, Animal
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Super-Resolution for Improving EEG Spatial Resolution using Deep Convolutional Neural Network-Feasibility Study.

Sensors (Basel, Switzerland) Dec 3, 2019
Electroencephalography (EEG) has relatively poor spatial resolution and may yield incorrect brain dynamics and distort topography; thus, high-density EEG systems are necessary for better analysis. Conventional methods have been proposed to solve thes...
Humans Neural Networks, Computer Brain-Computer Interfaces Normal Distribution Adult Machine Learning Electroencephalography Algorithms Signal Processing, Computer-Assisted Brain Feasibility Studies Computer Simulation
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The integrative knowledge base for miRNA-mRNA expression in colorectal cancer.

Scientific reports Dec 2, 2019
"miRNA colorectal cancer" (https://mirna-coadread.omics.si/) is a freely available web application for studying microRNA and mRNA expression and their correlation in colorectal cancer. To the best of our knowledge, "miRNA colorectal cancer" has the l...
Humans Colorectal Neoplasms MicroRNAs Rectum Colon Gene Expression Profiling Feasibility Studies RNA, Messenger Knowledge Bases Gene Expression Regulation, Neoplastic High-Throughput Screening Assays
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