AIMC Topic: Aged, 80 and over

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Comparison of medium-term survival outcomes between robot-assisted thoracoscopic surgery and video-assisted thoracoscopic surgery in treating primary lung cancer.

General thoracic and cardiovascular surgery Feb 13, 2020
OBJECTIVES: Robot-assisted thoracoscopic surgery (RATS) for primary lung cancer has been spreading rapidly in Japan. While RATS has various technical advantages over video-assisted thoracoscopic surgery (VATS), the quality of surgery from an oncologi...
Humans Prognosis Female Aged Aged, 80 and over Adult Propensity Score Survival Rate Robotics Male Pneumonectomy Thoracic Surgery, Video-Assisted Middle Aged Japan Time Factors Postoperative Period Lung Neoplasms Follow-Up Studies Operative Time
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Cellular and Molecular Probing of Intact Human Organs.

Cell Feb 13, 2020
Optical tissue transparency permits scalable cellular and molecular investigation of complex tissues in 3D. Adult human organs are particularly challenging to render transparent because of the accumulation of dense and sturdy molecules in decades-age...
Female Aged, 80 and over Animals Male Middle Aged Humans Brain Staining and Labeling Kidney Limit of Detection Pancreas Swine Optical Imaging Eye Deep Learning Thyroid Gland Imaging, Three-Dimensional Mice
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Machine Learning Algorithms for Predicting the Recurrence of Stage IV Colorectal Cancer After Tumor Resection.

Scientific reports Feb 13, 2020
The aim of this study is to explore the feasibility of using machine learning (ML) technology to predict postoperative recurrence risk among stage IV colorectal cancer patients. Four basic ML algorithms were used for prediction-logistic regression, d...
Logistic Models Neoplasm Staging Neoplasm Recurrence, Local Humans Colorectal Neoplasms Female Machine Learning Male Aged Algorithms Middle Aged Aged, 80 and over Prognosis
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Artificial intelligence for breast cancer detection in mammography: experience of use of the ScreenPoint Medical Transpara system in 310 Japanese women.

Breast cancer (Tokyo, Japan) Feb 12, 2020
BACKGROUND: To compare the breast cancer detection performance in digital mammograms of a panel of three unaided human readers (HR) versus a stand-alone artificial intelligence (AI)-based Transpara system in a population of Japanese women.
Breast Neoplasms Middle Aged ROC Curve Decision Support Systems, Clinical Early Detection of Cancer Female Aged Aged, 80 and over Young Adult Adult Reference Standards Mammography Radiologists Radiographic Image Interpretation, Computer-Assisted Breast Japan Humans Artificial Intelligence Retrospective Studies
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Development and Validation of a Deep Neural Network for Accurate Evaluation of Endoscopic Images From Patients With Ulcerative Colitis.

Gastroenterology Feb 12, 2020
BACKGROUND & AIMS: There are intra- and interobserver variations in endoscopic assessment of ulcerative colitis (UC) and biopsies are often collected for histologic evaluation. We sought to develop a deep neural network system for consistent, objecti...
Remission Induction Image Interpretation, Computer-Assisted Humans Treatment Outcome Aged, 80 and over Wound Healing Young Adult Colonoscopy Colitis, Ulcerative Databases, Factual Adult Severity of Illness Index Predictive Value of Tests Prospective Studies Diagnosis, Computer-Assisted Biopsy Male Female Deep Learning Middle Aged Reproducibility of Results Adolescent Colon Aged
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Multimodal Data Analysis of Alzheimer's Disease Based on Clustering Evolutionary Random Forest.

IEEE journal of biomedical and health informatics Feb 11, 2020
Alzheimer's disease (AD) has become a severe medical challenge. Advances in technologies produced high-dimensional data of different modalities including functional magnetic resonance imaging (fMRI) and single nucleotide polymorphism (SNP). Understan...
Magnetic Resonance Imaging Cluster Analysis Decision Trees Alzheimer Disease Aged Aged, 80 and over Male Diagnosis, Computer-Assisted Polymorphism, Single Nucleotide Humans Machine Learning Algorithms Brain Female
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Detecting total hip replacement prosthesis design on plain radiographs using deep convolutional neural network.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Feb 11, 2020
Identifying the design of a failed implant is a key step in the preoperative planning of revision total joint arthroplasty. Manual identification of the implant design from radiographic images is time-consuming and prone to error. Failure to identify...
Humans Retrospective Studies Female Aged Aged, 80 and over Hip Joint Arthroplasty, Replacement, Hip Hip Prosthesis Male Middle Aged Deep Learning Radiography Prosthesis Design
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Discriminating progressive supranuclear palsy from Parkinson's disease using wearable technology and machine learning.

Gait & posture Feb 10, 2020
BACKGROUND: Progressive supranuclear palsy (PSP), a neurodegenerative conditions may be difficult to discriminate clinically from idiopathic Parkinson's disease (PD). It is critical that we are able to do this accurately and as early as possible in o...
Logistic Models Aged, 80 and over Humans Parkinson Disease Sensitivity and Specificity Diagnosis, Differential Machine Learning Male Gait Analysis Algorithms Middle Aged Supranuclear Palsy, Progressive Female Wearable Electronic Devices Aged
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Diagnosis of ventilator-associated pneumonia using electronic nose sensor array signals: solutions to improve the application of machine learning in respiratory research.

Respiratory research Feb 7, 2020
BACKGROUND: Ventilator-associated pneumonia (VAP) is a significant cause of mortality in the intensive care unit. Early diagnosis of VAP is important to provide appropriate treatment and reduce mortality. Developing a noninvasive and highly accurate ...
Male Middle Aged Case-Control Studies Decision Trees Respiratory Mechanics Intensive Care Units Pneumonia, Ventilator-Associated Female Electronic Nose Aged Aged, 80 and over Biomedical Research Humans Machine Learning
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Feature rearrangement based deep learning system for predicting heart failure mortality.

Computer methods and programs in biomedicine Feb 6, 2020
BACKGROUND AND OBJECTIVE: Heart Failure is a clinical syndrome commonly caused by any structural or functional impairment. Fast and accurate mortality prediction for Heart Failure is essential to improve the health care of patients and prevent them f...
Adolescent Child Heart Failure Forecasting Female Aged Aged, 80 and over Young Adult Adult Humans Male Algorithms Middle Aged Deep Learning China
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