AIMC Topic: Feasibility Studies

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Feasibility of machine learning methods for predicting hospital emergency room visits for respiratory diseases.

Environmental science and pollution research international Feb 10, 2021
The prediction of hospital emergency room visits (ERV) for respiratory diseases after the outbreak of PM is of great importance in terms of public health, medical resource allocation, and policy decision support. Recently, the machine learning method...
Beijing Emergency Service, Hospital Feasibility Studies Machine Learning Hospitals
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Deep learning for the fully automated segmentation of the inner ear on MRI.

Scientific reports Feb 3, 2021
Segmentation of anatomical structures is valuable in a variety of tasks, including 3D visualization, surgical planning, and quantitative image analysis. Manual segmentation is time-consuming and deals with intra and inter-observer variability. To dev...
Aged Adult Male Humans Female Magnetic Resonance Imaging Middle Aged Datasets as Topic Feasibility Studies Deep Learning Ear, Inner Imaging, Three-Dimensional
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Artificial intelligence in sepsis early prediction and diagnosis using unstructured data in healthcare.

Nature communications Jan 29, 2021
Sepsis is a leading cause of death in hospitals. Early prediction and diagnosis of sepsis, which is critical in reducing mortality, is challenging as many of its signs and symptoms are similar to other less critical conditions. We develop an artifici...
Humans Clinical Decision Rules Sepsis Risk Assessment Time Factors Data Mining Prevalence Machine Learning ROC Curve Early Diagnosis Severity of Illness Index Intensive Care Units Predictive Value of Tests Electronic Health Records Feasibility Studies
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Feasibility study to improve deep learning in OCT diagnosis of rare retinal diseases with few-shot classification.

Medical & biological engineering & computing Jan 25, 2021
Deep learning (DL) has been successfully applied to the diagnosis of ophthalmic diseases. However, rare diseases are commonly neglected due to insufficient data. Here, we demonstrate that few-shot learning (FSL) using a generative adversarial network...
Retinal Diseases Rare Diseases Deep Learning Tomography, Optical Coherence Feasibility Studies Humans Neural Networks, Computer
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Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Dietary supplements (DSs) have been widely used in the U.S. and evaluated in clinical trials as potential interventions for various diseases. However, many clinical trials face challenges in recruiting enough eligible patients in a timely fashion, ca...
Natural Language Processing Feasibility Studies Patient Selection Clinical Trials as Topic Humans Deep Learning Partnership Practice Databases, Factual Models, Theoretical Electronic Health Records Dietary Supplements
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Feasibility of a deep learning-based method for automated localization of pelvic floor landmarks using stress MR images.

International urogynecology journal Jan 21, 2021
INTRODUCTION AND HYPOTHESIS: Magnetic resonance imaging (MRI) plays an important role in assessing pelvic organ prolapse (POP), and automated pelvic floor landmark localization potentially accelerates MRI-based measurements of POP. Herein, we aimed t...
Pelvic Floor Pelvic Organ Prolapse Humans Deep Learning Magnetic Resonance Imaging Feasibility Studies
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The 3D reconstructed skin micronucleus assay using imaging flow cytometry and deep learning: A proof-of-principle investigation.

Mutation research. Genetic toxicology and environmental mutagenesis Jan 20, 2021
The reconstructed skin micronucleus (RSMN) assay was developed in 2006, as an in vitro alternative for genotoxicity evaluation of dermally applied chemicals or products. In the years since, significant progress has been made in the optimization of th...
Proof of Concept Study Micronucleus Tests Mutagenicity Tests Mitomycin Flow Cytometry Skin, Artificial Models, Biological Automation, Laboratory Skin Tissue Scaffolds Deep Learning Humans Feasibility Studies Image Processing, Computer-Assisted False Positive Reactions Artificial Intelligence Predictive Value of Tests Software
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A deep learning approach to evaluate the feasibility of enzymatic reactions generated by retrobiosynthesis.

Biotechnology journal Jan 18, 2021
Retrobiosynthesis allows the designing of novel biosynthetic pathways for the production of chemicals and materials through metabolic engineering, but generates a large number of reactions beyond the experimental feasibility. Thus, an effective metho...
Feasibility Studies Neural Networks, Computer Biosynthetic Pathways Deep Learning Metabolic Engineering
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Robot-Assisted Carotid Artery Stenting: A Safety and Feasibility Study.

Cardiovascular and interventional radiology Jan 14, 2021
PURPOSE: Endovascular robotics is an emerging technology within the developing field of medical robotics. This was a prospective evaluation to assess safety and feasibility of robotic-assisted carotid artery stenting.
Prospective Studies Female Aged Humans Treatment Outcome Robotics Feasibility Studies Stents Aged, 80 and over Male Middle Aged Carotid Stenosis Carotid Artery, Common Vascular Surgical Procedures Computed Tomography Angiography
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Feasibility of automated planning for whole-brain radiation therapy using deep learning.

Journal of applied clinical medical physics Dec 19, 2020
PURPOSE: The purpose of this study was to develop automated planning for whole-brain radiation therapy (WBRT) using a U-net-based deep-learning model for predicting the multileaf collimator (MLC) shape bypassing the contouring processes.
Feasibility Studies Radiotherapy Planning, Computer-Assisted Cranial Irradiation Brain Brain Neoplasms Deep Learning Humans
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