AIMC Topic: Biopsy

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Machine learning for the identification of clinically significant prostate cancer on MRI: a meta-analysis.

European radiology Jun 30, 2020
OBJECTIVES: The aim of this study was to systematically review the literature and perform a meta-analysis of machine learning (ML) diagnostic accuracy studies focused on clinically significant prostate cancer (csPCa) identification on MRI.
Humans Machine Learning ROC Curve Magnetic Resonance Imaging Area Under Curve Prostatic Neoplasms Algorithms Male Prevalence Diagnosis, Computer-Assisted Biopsy Reference Standards Prostatectomy
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Using decision curve analysis to benchmark performance of a magnetic resonance imaging-based deep learning model for prostate cancer risk assessment.

European radiology Jun 26, 2020
OBJECTIVES: To benchmark the performance of a calibrated 3D convolutional neural network (CNN) applied to multiparametric MRI (mpMRI) for risk assessment of clinically significant prostate cancer (csPCa) using decision curve analysis (DCA).
Calibration Normal Distribution Biopsy Benchmarking Observer Variation Male Risk Assessment Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Prostatic Neoplasms Prostate-Specific Antigen Humans Machine Learning Algorithms Retrospective Studies
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Re: Artificial Intelligence for Diagnosis and Grading of Prostate Cancer in Biopsies: A Population-Based, Diagnostic Study.

The Journal of urology Jun 26, 2020
Humans Artificial Intelligence Male Prostatic Neoplasms Biopsy
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Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis.

Journal of visualized experiments : JoVE Jun 18, 2020
Glomerular cell death is a pathological feature of myeloperoxidase anti neutrophil cytoplasmic antibody associated vasculitis (MPO-AAV). Extracellular deoxyribonucleic acid (ecDNA) is released during different forms of cell death including apoptosis,...
Glomerulonephritis Extracellular Space Models, Biological Supervised Machine Learning Peroxidase Image Processing, Computer-Assisted Extracellular Traps Mice, Inbred C57BL DNA Biopsy Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis Kidney Glomerulus Humans Animals Male
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Untethered Single Cell Grippers for Active Biopsy.

Nano letters Jun 8, 2020
Single cell manipulation is important in biosensing, biorobotics, and quantitative cell analysis. Although microbeads, droplets, and microrobots have been developed previously, it is still challenging to simultaneously excise, capture, and manipulate...
Silicon Dioxide Robotics Biopsy Motion Magnetics
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Prospective Analysis Using a Novel CNN Algorithm to Distinguish Atypical Ductal Hyperplasia From Ductal Carcinoma in Situ in Breast.

Clinical breast cancer Jun 7, 2020
INTRODUCTION: We previously developed a convolutional neural networks (CNN)-based algorithm to distinguish atypical ductal hyperplasia (ADH) from ductal carcinoma in situ (DCIS) using a mammographic dataset. The purpose of this study is to further va...
Mammary Glands, Human Carcinoma, Intraductal, Noninfiltrating Datasets as Topic Hyperplasia Adult Breast Neoplasms Middle Aged ROC Curve Neural Networks, Computer Prospective Studies Female Aged Mammography Humans Diagnosis, Differential Biopsy Radiographic Image Interpretation, Computer-Assisted
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Re: Artificial Intelligence for Diagnosis and Grading of Prostate Cancer in Biopsies: A Population-based, Diagnostic Study.

European urology May 8, 2020
Humans Prostatic Neoplasms Artificial Intelligence Biopsy Male
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Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial.

Gastroenterology May 1, 2020
BACKGROUND & AIMS: One-fourth of colorectal neoplasias are missed during screening colonoscopies; these can develop into colorectal cancer (CRC). Deep learning systems allow for real-time computer-aided detection (CADe) of polyps with high accuracy. ...
Middle Aged Colon Colonoscopy Deep Learning Time Factors Mass Screening Adenoma Female Aged Colorectal Neoplasms Male Humans Biopsy Image Interpretation, Computer-Assisted
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Optical Biopsy: Automated Classification of Airway Endoscopic Findings Using a Convolutional Neural Network.

The Laryngoscope Apr 28, 2020
OBJECTIVES/HYPOTHESIS: Create an autonomous computational system to classify endoscopy findings.
Artificial Intelligence Machine Learning Biopsy Image Interpretation, Computer-Assisted Humans Larynx Neural Networks, Computer Laryngoscopy Laryngeal Neoplasms Laryngeal Diseases
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Should We Ignore, Follow, or Biopsy? Impact of Artificial Intelligence Decision Support on Breast Ultrasound Lesion Assessment.

AJR. American journal of roentgenology Apr 22, 2020
The objective of this study was to assess the impact of artificial intelligence (AI)-based decision support (DS) on breast ultrasound (US) lesion assessment. A multicenter retrospective review of 900 breast lesions (470/900 [52.2%] benign; 430/900 ...
Ultrasonography, Mammary Adult Sensitivity and Specificity Breast Neoplasms Middle Aged Diagnosis, Computer-Assisted Humans Adolescent Artificial Intelligence Biopsy Decision Support Techniques Retrospective Studies Female Aged Aged, 80 and over
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