AIMC Topic: Aged

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Robotic Approach to Outpatient Inguinal Hernia Repair.

Journal of the American College of Surgeons May 4, 2020
BACKGROUND: Robotics offers improved ergonomics, visualization, instrument articulation, and tremor filtration. Disadvantages include startup cost and system breakdown. Surgeon education notwithstanding, we hypothesize that robotic inguinal hernia re...
Retrospective Studies Humans Aged Young Adult Adult Middle Aged Adolescent Hernia, Inguinal Robotics Ambulatory Surgical Procedures Outpatients Herniorrhaphy
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Deep learning based mild cognitive impairment diagnosis using structure MR images.

Neuroscience letters May 4, 2020
Mild cognitive impairment (MCI) is an early sign of Alzheimer's disease (AD) which is the fourth leading disease mostly found in the aged population. Early intervention of MCI will possibly delay the progress towards AD, and this makes it very import...
Deep Learning Humans Cognitive Dysfunction Brain Support Vector Machine Aged Magnetic Resonance Imaging Aged, 80 and over Alzheimer Disease
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Deep Learning Based on MR Imaging for Predicting Outcome of Uterine Fibroid Embolization.

Journal of vascular and interventional radiology : JVIR May 4, 2020
PURPOSE: To develop and validate a deep learning model based on routine magnetic resonance (MR) imaging obtained before uterine fibroid embolization to predict procedure outcome.
Aged Adult Humans Observer Variation Middle Aged Retrospective Studies Treatment Outcome Philadelphia Clinical Decision-Making Magnetic Resonance Imaging Diagnosis, Computer-Assisted Leiomyoma Female Deep Learning Predictive Value of Tests Uterine Artery Embolization Reproducibility of Results Uterine Neoplasms Image Interpretation, Computer-Assisted
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Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR.

Journal of vascular and interventional radiology : JVIR May 4, 2020
PURPOSE: To demonstrate that random forest models trained on a large national sample can accurately predict relevant outcomes and may ultimately contribute to future clinical decision support tools in IR.
Portasystemic Shunt, Transjugular Intrahepatic Iatrogenic Disease Pneumothorax Uterine Artery Embolization Risk Factors United States Aged Machine Learning Male Inpatients Aged, 80 and over Databases, Factual Middle Aged Data Mining Young Adult Adolescent Retrospective Studies Risk Assessment Humans Radiography, Interventional Adult Time Factors Infant Female Image-Guided Biopsy Child, Preschool Length of Stay Infant, Newborn Child Hospital Mortality
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Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea.

Scientific reports May 4, 2020
Herein, we aim to assess mortality risk prediction in peritoneal dialysis patients using machine-learning algorithms for proper prognosis prediction. A total of 1,730 peritoneal dialysis patients in the CRC for ESRD prospective cohort from 2008 to 20...
Humans Machine Learning Adult Male Middle Aged Predictive Value of Tests Models, Biological Prospective Studies Republic of Korea Female Risk Factors Aged Mortality Peritoneal Dialysis
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A CNN-aided method to predict glaucoma progression using DARC (Detection of Apoptosing Retinal Cells).

Expert review of molecular diagnostics May 3, 2020
BACKGROUND: A key objective in glaucoma is to identify those at risk of rapid progression and blindness. Recently, a novel first-in-man method for visualising apoptotic retinal cells called DARC (Detection-of-Apoptosing-Retinal-Cells) was reported. T...
Glaucoma Algorithms Female Aged Adult Humans Neural Networks, Computer Clinical Trials, Phase II as Topic Male Retinal Ganglion Cells Tomography, Optical Coherence Middle Aged Automation Observer Variation Disease Progression Annexin A5 Image Processing, Computer-Assisted Apoptosis
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An Open-Source Computer Vision Tool for Automated Vocal Fold Tracking From Videoendoscopy.

The Laryngoscope May 1, 2020
OBJECTIVES: Contemporary clinical assessment of vocal fold adduction and abduction is qualitative and subjective. Herein is described a novel computer vision tool for automated quantitative tracking of vocal fold motion from videolaryngoscopy. The po...
Deep Learning Aged, 80 and over Video Recording Adult Humans Vocal Cord Paralysis Male Software Vocal Cords Middle Aged Computers Laryngoscopy Case-Control Studies Female Aged
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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. ...
Adenoma Biopsy Image Interpretation, Computer-Assisted Colon Colonoscopy Deep Learning Time Factors Mass Screening Humans Female Aged Colorectal Neoplasms Male Middle Aged
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Applying machine learning methods to develop a successful aging maintenance prediction model based on physical fitness tests.

Geriatrics & gerontology international May 1, 2020
AIM: The purpose of this study was to develop a machine learning prediction model for successful aging (SA) based on physical fitness tests.
Physical Fitness Independent Living Middle Aged Healthy Aging Exercise Aged Humans China Logistic Models Aged, 80 and over Machine Learning Follow-Up Studies Surveys and Questionnaires Sensitivity and Specificity Female Decision Trees ROC Curve Male Predictive Value of Tests Aging Geriatric Assessment
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Use of Deep Learning to Develop and Analyze Computational Hematoxylin and Eosin Staining of Prostate Core Biopsy Images for Tumor Diagnosis.

JAMA network open May 1, 2020
IMPORTANCE: Histopathological diagnoses of tumors from tissue biopsy after hematoxylin and eosin (H&E) dye staining is the criterion standard for oncological care, but H&E staining requires trained operators, dyes and reagents, and precious tissue sa...
Prostatic Neoplasms Humans Biopsy, Large-Core Needle Aged Eosine Yellowish-(YS) Male Hematoxylin Deep Learning Staining and Labeling
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