AIMC Topic: Retrospective Studies

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[Prediction of chemotherapy response in primary osteosarcoma using the machine learning technique on radiomic data].

Bulletin du cancer Oct 3, 2019
INTRODUCTION: Osteosarcoma is the most common malignant bone tumor before 25 years of age. Response to neoadjuvant chemotherapy determines continuation of treatment and is also a powerful prognostic factor. There are currently no reliable ways to eva...
Neoadjuvant Therapy Magnetic Resonance Imaging Osteosarcoma Bone Neoplasms Predictive Value of Tests France Analysis of Variance Chemotherapy, Adjuvant Adolescent Child, Preschool Child Antineoplastic Combined Chemotherapy Protocols Treatment Outcome Young Adult Sensitivity and Specificity Male Infant Humans Machine Learning Retrospective Studies Female Infant, Newborn
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Clinical usefulness of a deep learning-based system as the first screening on small-bowel capsule endoscopy reading.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society Oct 2, 2019
BACKGROUND AND AIM: To examine whether our convolutional neural network (CNN) system based on deep learning can reduce the reading time of endoscopists without oversight of abnormalities in the capsule-endoscopy reading process.
Humans Retrospective Studies Diagnosis, Computer-Assisted Deep Learning Clinical Competence Intestine, Small Time Factors Intestinal Diseases Intestinal Mucosa Capsule Endoscopy
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Potential of automatic diagnosis system with linked color imaging for diagnosis of Helicobacter pylori infection.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society Oct 2, 2019
BACKGROUND AND AIM: It is necessary to establish universal methods for endoscopic diagnosis of Helicobacter pylori (HP) infection, such as computer-aided diagnosis. In the present study, we propose a multistage diagnosis algorithm for HP infection.
Support Vector Machine Predictive Value of Tests Helicobacter Infections Helicobacter pylori Humans Reproducibility of Results Retrospective Studies Endoscopy Aged Female Male Aged, 80 and over Middle Aged Adult Diagnosis, Computer-Assisted Clinical Competence
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Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society Oct 2, 2019
BACKGROUND AND AIM: Although small-bowel angioectasia is reported as the most common cause of bleeding in patients and frequently diagnosed by capsule endoscopy (CE) in patients with obscure gastrointestinal bleeding, a computer-aided detection metho...
Humans Neural Networks, Computer Retrospective Studies Female Aged ROC Curve Predictive Value of Tests Capsule Endoscopy Gastrointestinal Hemorrhage Intestine, Small Dilatation, Pathologic Male Middle Aged Deep Learning
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CNN-based diagnosis models for canine ulcerative keratitis.

Scientific reports Oct 2, 2019
The purpose of this methodological study was to develop a convolutional neural network (CNN), which is a recently developed deep-learning-based image recognition method, to determine corneal ulcer severity in dogs. The CNN model was trained with imag...
Male Severity of Illness Index Deep Learning Image Processing, Computer-Assisted Dogs Retrospective Studies Female Cornea Animals Corneal Ulcer Dog Diseases Models, Biological Datasets as Topic Pattern Recognition, Automated Software
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A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy.

PloS one Oct 2, 2019
PURPOSE: Development of a supervised machine-learning model capable of predicting clinically relevant molecular subtypes of pancreatic ductal adenocarcinoma (PDAC) from diffusion-weighted-imaging-derived radiomic features.
Irinotecan Keratins, Hair-Specific Keratins, Type II Antineoplastic Combined Chemotherapy Protocols Leucovorin Fluorouracil Humans Adult Oxaliplatin Carcinoma, Pancreatic Ductal Machine Learning Survival Rate Pancreatic Neoplasms Disease-Free Survival Retrospective Studies Sensitivity and Specificity Neoplasm Proteins Deoxycytidine Female Male Gemcitabine Middle Aged
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Comparison of CT and MRI images for the prediction of soft-tissue sarcoma grading and lung metastasis via a convolutional neural networks model.

Clinical radiology Sep 28, 2019
AIM: To realise the automated prediction of soft-tissue sarcoma (STS) grading and lung metastasis based on computed tomography (CT), T1-weighted (T1W) magnetic resonance imaging (MRI), and fat-suppressed T2-weighted MRI (FST2W) via the convolutional ...
Neoplasm Grading Sarcoma Female Male Lung Neoplasms Magnetic Resonance Imaging Predictive Value of Tests Humans Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed
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Improving documentation of presenting problems in the emergency department using a domain-specific ontology and machine learning-driven user interfaces.

International journal of medical informatics Sep 27, 2019
OBJECTIVES: To determine the effect of a domain-specific ontology and machine learning-driven user interfaces on the efficiency and quality of documentation of presenting problems (chief complaints) in the emergency department (ED).
Humans Machine Learning Algorithms Retrospective Studies Female Decision Support Systems, Clinical Male Emergency Service, Hospital Depressive Disorder, Major Quality Improvement Case-Control Studies Documentation User-Computer Interface Forms and Records Control
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Keratoconus detection using deep learning of colour-coded maps with anterior segment optical coherence tomography: a diagnostic accuracy study.

BMJ open Sep 27, 2019
OBJECTIVE: To evaluate the diagnostic accuracy of keratoconus using deep learning of the colour-coded maps measured with the swept-source anterior segment optical coherence tomography (AS-OCT).
Case-Control Studies Deep Learning Keratoconus Tomography, Optical Coherence Humans Retrospective Studies Sensitivity and Specificity Disease Progression
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Effect of Robot-Assisted Gait Training in a Large Population of Children With Motor Impairment Due to Cerebral Palsy or Acquired Brain Injury.

Archives of physical medicine and rehabilitation Sep 25, 2019
OBJECTIVE: To evaluate retrospectively the effect of robotic rehabilitation in a large group of children with motor impairment; an additional goal was to identify the effects in children with cerebral palsy (CP) and acquired brain injury (ABI) and wi...
Humans Retrospective Studies Female Male Child Treatment Outcome Brain Injuries Robotics Gait Gait Disorders, Neurologic Cerebral Palsy Physical Therapy Modalities
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