AIMC Topic: ROC Curve

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A priori prediction of tumour response to neoadjuvant chemotherapy in breast cancer patients using quantitative CT and machine learning.

Scientific reports Jul 2, 2020
Response to Neoadjuvant chemotherapy (NAC) has demonstrated a high correlation to survival in locally advanced breast cancer (LABC) patients. An early prediction of responsiveness to NAC could facilitate treatment adjustments on an individual patient...
Aged Aged, 80 and over Young Adult Adult Breast Neoplasms Humans Machine Learning Prognosis Tomography, X-Ray Computed Female Follow-Up Studies Receptor, ErbB-2 Carcinoma, Ductal, Breast Receptors, Estrogen Receptors, Progesterone Carcinoma, Lobular Middle Aged Adolescent ROC Curve Antineoplastic Combined Chemotherapy Protocols Neoadjuvant Therapy
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Development of a Deep Learning Model to Identify Lymph Node Metastasis on Magnetic Resonance Imaging in Patients With Cervical Cancer.

JAMA network open Jul 1, 2020
IMPORTANCE: Accurate identification of lymph node metastasis preoperatively and noninvasively in patients with cervical cancer can avoid unnecessary surgical intervention and benefit treatment planning.
Female Adult Uterine Cervical Neoplasms Middle Aged Deep Learning Magnetic Resonance Imaging Area Under Curve Program Development China ROC Curve Lymphatic Metastasis Humans Software Retrospective Studies
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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.
Prostatectomy Magnetic Resonance Imaging Area Under Curve Prostatic Neoplasms Biopsy Reference Standards Machine Learning Algorithms Humans Prevalence Male Diagnosis, Computer-Assisted ROC Curve
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Machine Learning Prediction of Extracapsular Extension in Human Papillomavirus-Associated Oropharyngeal Squamous Cell Carcinoma.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Jun 30, 2020
OBJECTIVE: To determine whether machine learning (ML) can predict the presence of extracapsular extension (ECE) prior to treatment, using common oncologic variables, in patients with human papillomavirus (HPV)-associated oropharyngeal squamous cell c...
Retrospective Studies Female Aged Male Middle Aged Squamous Cell Carcinoma of Head and Neck Oropharyngeal Neoplasms Alphapapillomavirus ROC Curve Papillomavirus Infections Logistic Models Humans Machine Learning Databases, Factual Prognosis Extranodal Extension
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Challenge for Diagnostic Assessment of Deep Learning Algorithm for Metastases Classification in Sentinel Lymph Nodes on Frozen Tissue Section Digital Slides in Women with Breast Cancer.

Cancer research and treatment Jun 30, 2020
PURPOSE: Assessing the status of metastasis in sentinel lymph nodes (SLNs) by pathologists is an essential task for the accurate staging of breast cancer. However, histopathological evaluation of SLNs by a pathologist is not easy and is a tedious and...
ROC Curve Image Processing, Computer-Assisted Lymphatic Metastasis Predictive Value of Tests Aged, 80 and over Neoplasm Staging Adult Breast Neoplasms Middle Aged Sentinel Lymph Node Humans Deep Learning Sentinel Lymph Node Biopsy Republic of Korea Frozen Sections Female Aged
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Machine learning prediction of combat basic training injury from 3D body shape images.

PloS one Jun 30, 2020
INTRODUCTION: Athletes and military personnel are both at risk of disabling injuries due to extreme physical activity. A method to predict which individuals might be more susceptible to injury would be valuable, especially in the military where basic...
ROC Curve Imaging, Three-Dimensional United States Models, Statistical Physical Fitness Risk Factors Young Adult Male Risk Assessment Adolescent Humans Military Personnel Machine Learning Anthropometry Female Physical Endurance Occupational Injuries
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Solitary solid pulmonary nodules: a CT-based deep learning nomogram helps differentiate tuberculosis granulomas from lung adenocarcinomas.

European radiology Jun 27, 2020
OBJECTIVES: To evaluate the differential diagnostic performance of a computed tomography (CT)-based deep learning nomogram (DLN) in identifying tuberculous granuloma (TBG) and lung adenocarcinoma (LAC) presenting as solitary solid pulmonary nodules (...
Diagnosis, Differential Granuloma Tuberculosis Sex Factors Diagnostic Tests, Routine Logistic Models Nomograms Age Factors Solitary Pulmonary Nodule Regression Analysis Observer Variation Pattern Recognition, Automated Calibration Adenocarcinoma of Lung Retrospective Studies Tomography, X-Ray Computed Female Adult Male ROC Curve Image Processing, Computer-Assisted Lung Neoplasms Middle Aged Diagnosis, Computer-Assisted Deep Learning Humans Algorithms
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An Artificial Intelligence Model for Predicting 1-Year Survival of Bone Metastases in Non-Small-Cell Lung Cancer Patients Based on XGBoost Algorithm.

BioMed research international Jun 27, 2020
Non-small-cell lung cancer (NSCLC) patients often develop bone metastases (BM), and the overall survival for these patients is usually perishing. However, a model with high accuracy for predicting the survival of NSCLC with BM is still lacking. Here,...
Logistic Models Reproducibility of Results Survival Analysis Nomograms Aged Multivariate Analysis Humans Carcinoma, Non-Small-Cell Lung Male Artificial Intelligence Bone Neoplasms ROC Curve Algorithms Models, Biological Lung Neoplasms Prognosis Female
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Explaining the Rationale of Deep Learning Glaucoma Decisions with Adversarial Examples.

Ophthalmology Jun 26, 2020
PURPOSE: To illustrate what is inside the so-called black box of deep learning models (DLMs) so that clinicians can have greater confidence in the conclusions of artificial intelligence by evaluating adversarial explanation on its ability to explain ...
ROC Curve Decision Making Optic Disk Machine Learning Female Male Middle Aged Deep Learning Humans Glaucoma Artificial Intelligence
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Truncated inception net: COVID-19 outbreak screening using chest X-rays.

Physical and engineering sciences in medicine Jun 25, 2020
Since December 2019, the Coronavirus Disease (COVID-19) pandemic has caused world-wide turmoil in a short period of time, and the infection, caused by SARS-CoV-2, is spreading rapidly. AI-driven tools are used to identify Coronavirus outbreaks as wel...
Neural Networks, Computer Pandemics COVID-19 Databases, Factual Tomography, X-Ray Computed SARS-CoV-2 Humans Betacoronavirus Pneumonia, Viral Lung ROC Curve Models, Statistical Coronavirus Infections Radiography, Thoracic
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