AIMC Topic: Feasibility Studies

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Cardiac substructure segmentation with deep learning for improved cardiac sparing.

Medical physics Dec 29, 2019
PURPOSE: Radiation dose to cardiac substructures is related to radiation-induced heart disease. However, substructures are not considered in radiation therapy planning (RTP) due to poor visualization on CT. Therefore, we developed a novel deep learni...
Heart Feasibility Studies Radiation Dosage Phantoms, Imaging Humans Deep Learning Image Processing, Computer-Assisted
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Technical Note: A feasibility study on deep learning-based radiotherapy dose calculation.

Medical physics Dec 25, 2019
PURPOSE: Various dose calculation algorithms are available for radiation therapy for cancer patients. However, these algorithms are faced with the tradeoff between efficiency and accuracy. The fast algorithms are generally less accurate, while the ac...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Phantoms, Imaging Models, Theoretical Prostate Feasibility Studies Humans Radiotherapy Planning, Computer-Assisted Male Deep Learning
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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...
Dermoscopy Humans Skin Image Processing, Computer-Assisted Machine Learning Feasibility Studies Microscopy, Confocal Skin Diseases Diagnosis, Differential 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...
Male Middle Aged Deep Learning Treatment Outcome Predictive Value of Tests Feasibility Studies Angiography, Digital Subtraction Intracranial Aneurysm Humans Neural Networks, Computer Female Adult
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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...
Biofeedback, Psychology Feasibility Studies Cardiopulmonary Resuscitation Humans Artificial Intelligence Photoplethysmography Blood Pressure Determination
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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 Neoplasm Invasiveness Radiologists Feasibility Studies Adenocarcinoma of Lung Image Processing, Computer-Assisted Lung Neoplasms Solitary Pulmonary Nodule Young Adult Adult Male Middle Aged Disease Progression Deep Learning Adolescent Tomography, X-Ray Computed ROC Curve Female Aged Aged, 80 and over Humans Neural Networks, Computer Artificial Intelligence Retrospective Studies
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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...
Amyloid Humans Deep Learning Amyloid beta-Peptides Feasibility Studies Alzheimer Disease Aniline Compounds Positron-Emission Tomography
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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 Humans Decision Support Techniques Tomography, X-Ray Computed Finite Element Analysis Models, Cardiovascular Prosthesis Failure Bioprosthesis Prosthesis Design Feasibility Studies Heart Valve Prosthesis Implantation Heart Valve Prosthesis Heart Valves
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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...
Fluorodeoxyglucose F18 Lymphatic Metastasis Reproducibility of Results Sentinel Lymph Node Magnetic Resonance Imaging Breast Neoplasms Humans Axilla ROC Curve Neural Networks, Computer Anatomic Landmarks Image Processing, Computer-Assisted Female Feasibility Studies Radiopharmaceuticals Positron-Emission Tomography Datasets as Topic
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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...
Biopsy Feasibility Studies Non-alcoholic Fatty Liver Disease Microscopy Mice Rats Disease Models, Animal Liver Datasets as Topic Humans Animals Severity of Illness Index Deep Learning Image Processing, Computer-Assisted
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