AIMC Topic: Proof of Concept Study

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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...
Image Processing, Computer-Assisted Predictive Value of Tests Flow Cytometry Skin Artificial Intelligence Software Automation, Laboratory Deep Learning Humans Feasibility Studies Models, Biological Tissue Scaffolds False Positive Reactions Proof of Concept Study Mutagenicity Tests Micronucleus Tests Mitomycin Skin, Artificial
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Cytoplasmic movements of the early human embryo: imaging and artificial intelligence to predict blastocyst development.

Reproductive biomedicine online Dec 24, 2020
RESEARCH QUESTION: Can artificial intelligence and advanced image analysis extract and harness novel information derived from cytoplasmic movements of the early human embryo to predict development to blastocyst?
Embryonic Development Proof of Concept Study Cytoplasm Time-Lapse Imaging Humans Neural Networks, Computer Retrospective Studies Blastocyst
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Three-Dimensional Vessel Segmentation in Whole-Tissue and Whole-Block Imaging Using a Deep Neural Network: Proof-of-Concept Study.

The American journal of pathology Dec 18, 2020
In the field of pathology, micro-computed tomography (micro-CT) has become an attractive imaging modality because it enables full analysis of the three-dimensional characteristics of a tissue sample or organ in a noninvasive manner. However, because ...
Humans X-Ray Microtomography Neural Networks, Computer Paraffin Embedding Software Imaging, Three-Dimensional Proof of Concept Study
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Deep learning-based real-time volumetric imaging for lung stereotactic body radiation therapy: a proof of concept study.

Physics in medicine and biology Dec 18, 2020
Due to the inter- and intra- variation of respiratory motion, it is highly desired to provide real-time volumetric images during the treatment delivery of lung stereotactic body radiation therapy (SBRT) for accurate and active motion management. In t...
Deep Learning Lung Neoplasms Respiration Proof of Concept Study Radiosurgery Humans Movement Computer Simulation Four-Dimensional Computed Tomography
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Inferring a network from dynamical signals at its nodes.

PLoS computational biology Nov 30, 2020
We give an approximate solution to the difficult inverse problem of inferring the topology of an unknown network from given time-dependent signals at the nodes. For example, we measure signals from individual neurons in the brain, and infer how they ...
Gene Regulatory Networks Neural Networks, Computer Action Potentials Neurons Algorithms Proof of Concept Study Brain
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Deep Learning for Voice Gender Identification: Proof-of-concept for Gender-Affirming Voice Care.

The Laryngoscope Nov 21, 2020
OBJECTIVES/HYPOTHESIS: The need for gender-affirming voice care has been increasing in the transgender population in the last decade. Currently, objective treatment outcome measurements are lacking to assess the success of these interventions. This s...
Voice Quality Gender-Affirming Procedures Transgender Persons Proof of Concept Study Speech Perception Audiometry Humans Retrospective Studies Female Adult Treatment Outcome Sex Factors Datasets as Topic Male Deep Learning
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Artificial intelligence automates and augments baseline impedance measurements from pH-impedance studies in gastroesophageal reflux disease.

Journal of gastroenterology Nov 5, 2020
BACKGROUND: Artificial intelligence (AI) has potential to streamline interpretation of pH-impedance studies. In this exploratory observational cohort study, we determined feasibility of automated AI extraction of baseline impedance (AIBI) and evaluat...
Proof of Concept Study Gastroesophageal Reflux Proton Pump Inhibitors Esophageal pH Monitoring Treatment Outcome Feasibility Studies Electric Impedance Linear Models Prospective Studies Female Aged Adult Humans Male Artificial Intelligence Middle Aged Case-Control Studies ROC Curve
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Automated analysis and detection of abnormalities in transaxial anatomical cardiovascular magnetic resonance images: a proof of concept study with potential to optimize image acquisition.

The international journal of cardiovascular imaging Oct 29, 2020
The large number of available MRI sequences means patients cannot realistically undergo them all, so the range of sequences to be acquired during a scan are protocolled based on clinical details. Adapting this to unexpected findings identified early ...
Magnetic Resonance Imaging Cardiomyopathy, Dilated Humans Predictive Value of Tests Neural Networks, Computer Pleural Effusion Cardiomyopathy, Hypertrophic Image Interpretation, Computer-Assisted Reproducibility of Results Automation Proof of Concept Study Aorta
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Developing a Machine Learning Algorithm for Identifying Abnormal Urothelial Cells: A Feasibility Study.

Acta cytologica Oct 6, 2020
INTRODUCTION: Urine cytology plays an important role in diagnosing urothelial carcinoma (UC). However, urine cytology interpretation is subjective and difficult. Morphogo (ALAB, Boston, MA, USA), equipped with automatic acquisition and scanning, opti...
Predictive Value of Tests Prostatic Neoplasms Carcinoma Feasibility Studies Humans Cytodiagnosis Neural Networks, Computer Urothelium Male Image Interpretation, Computer-Assisted Machine Learning Female Middle Aged Urine Reproducibility of Results Diagnosis, Computer-Assisted Proof of Concept Study Aged Urologic Neoplasms Aged, 80 and over
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Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma.

Virchows Archiv : an international journal of pathology Sep 26, 2020
In patients with suspected lymphoma, the tissue biopsy provides lymphoma confirmation, classification, and prognostic factors, including genetic changes. We developed a deep learning algorithm to detect MYC rearrangement in scanned histological slide...
Translocation, Genetic Predictive Value of Tests Microscopy In Situ Hybridization, Fluorescence Image Interpretation, Computer-Assisted Immunohistochemistry Lymphoma, Large B-Cell, Diffuse Humans Proof of Concept Study Deep Learning Phenotype Antigens, CD20 Genetic Predisposition to Disease Reproducibility of Results Proto-Oncogene Proteins c-myc Staining and Labeling Biomarkers, Tumor
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