AIMC Topic: Retrospective Studies

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Digital Image Analysis with Fully Connected Convolutional Neural Network to Facilitate Hysteroscopic Fibroid Resection.

Gynecologic and obstetric investigation Jul 5, 2018
AIMS: The study aimed to determine the accuracy of deep neural network in identifying the plane between myoma and normal myometrium.
Myometrium Neural Networks, Computer Retrospective Studies Female Adult Image Processing, Computer-Assisted Predictive Value of Tests Leiomyoma Humans Hysteroscopy Uterine Myomectomy
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Using natural language processing for identification of herpes zoster ophthalmicus cases to support population-based study.

Clinical & experimental ophthalmology Jul 4, 2018
IMPORTANCE: Diagnosis codes are inadequate for accurately identifying herpes zoster (HZ) ophthalmicus (HZO). There is significant lack of population-based studies on HZO due to the high expense of manual review of medical records.
Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Humans Algorithms Retrospective Studies Female Population Surveillance Natural Language Processing Herpesvirus 3, Human Eye Infections, Viral Herpes Zoster Ophthalmicus Male Middle Aged Adolescent ROC Curve Follow-Up Studies
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Detecting intertrochanteric hip fractures with orthopedist-level accuracy using a deep convolutional neural network.

Skeletal radiology Jun 28, 2018
OBJECTIVE: To compare performances in diagnosing intertrochanteric hip fractures from proximal femoral radiographs between a convolutional neural network and orthopedic surgeons.
Aged Aged, 80 and over Adult Sensitivity and Specificity Male Middle Aged Clinical Competence Hip Fractures Femoral Fractures Orthopedic Surgeons Humans Neural Networks, Computer Retrospective Studies Female
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Granulomatosis with polyangiitis in Northeastern Brazil: study of 25 cases and review of the literature.

Advances in rheumatology (London, England) Jun 28, 2018
BACKGROUND: Little has been published about the epidemiology of Granulomatosis with polyangiitis (GPA) in South America, especially in the intertropical zone, and no epidemiological data from Brazil are available. The purpose of the present study was...
Disease Progression Gastrointestinal Diseases Adult Lung Diseases Granulomatosis with Polyangiitis Heart Diseases Creatinine Cross-Sectional Studies Nervous System Diseases Humans Delayed Diagnosis Skin Diseases Male Retrospective Studies Eye Diseases Proteinuria Middle Aged Acute Kidney Injury Adrenal Cortex Hormones Brazil Female Arthritis
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An Algorithm Based on Deep Learning for Predicting In-Hospital Cardiac Arrest.

Journal of the American Heart Association Jun 26, 2018
BACKGROUND: In-hospital cardiac arrest is a major burden to public health, which affects patient safety. Although traditional track-and-trigger systems are used to predict cardiac arrest early, they have limitations, with low sensitivity and high fal...
Resuscitation Seoul Middle Aged Risk Assessment Diagnosis, Computer-Assisted Deep Learning Time Factors Inpatients Reproducibility of Results Predictive Value of Tests Humans Risk Factors Early Diagnosis Decision Support Techniques Aged Vital Signs Prognosis Adult Heart Arrest Retrospective Studies Male Female
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A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data.

BMC medical informatics and decision making Jun 22, 2018
BACKGROUND: Heart failure is one of the leading causes of hospitalization in the United States. Advances in big data solutions allow for storage, management, and mining of large volumes of structured and semi-structured data, such as complex healthca...
Male Middle Aged Deep Learning Models, Theoretical Heart Failure Patient Readmission Retrospective Studies Electronic Health Records Female Aged Aged, 80 and over Humans Prognosis
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Comparison of Transferred Deep Neural Networks in Ultrasonic Breast Masses Discrimination.

BioMed research international Jun 21, 2018
This research aims to address the problem of discriminating benign cysts from malignant masses in breast ultrasound (BUS) images based on Convolutional Neural Networks (CNNs). The biopsy-proven benchmarking dataset was built from 1422 patient cases c...
Neural Networks, Computer Machine Learning Retrospective Studies Female Breast Neoplasms Humans Diagnosis, Computer-Assisted Biopsy Cysts Breast Diseases
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Predicting Survival From Large Echocardiography and Electronic Health Record Datasets: Optimization With Machine Learning.

JACC. Cardiovascular imaging Jun 13, 2018
OBJECTIVES: The goal of this study was to use machine learning to more accurately predict survival after echocardiography.
Echocardiography Risk Assessment Time Factors Predictive Value of Tests Data Mining Retrospective Studies Electronic Health Records Reproducibility of Results Risk Factors Heart Diseases Humans Machine Learning Databases, Factual Prognosis
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Is Robotic Complete Mesocolic Excision Feasible for Transverse Colon Cancer?

Journal of laparoendoscopic & advanced surgical techniques. Part A Jun 7, 2018
Laparoscopic complete mesocolic excision (CME) for transverse colon cancer is technically challenging. Robotic technology has been developed to reduce technical limitations of laparoscopy. Yet, no data are available on the role of robotic approach f...
Mesocolon Treatment Outcome Adenocarcinoma Operative Time Retrospective Studies Robotics Humans Female Laparoscopy Male Robotic Surgical Procedures Middle Aged Feasibility Studies Length of Stay Colon, Transverse Colonic Neoplasms Colectomy
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Machine learning model in melanoma.

The Lancet. Oncology Jun 7, 2018
Melanoma Skin Neoplasms Sensitivity and Specificity Male Diagnosis, Computer-Assisted Humans Machine Learning Retrospective Studies Female Clinical Competence Dermatologists Germany
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