AIMC Topic: Aged, 80 and over

Clear Filters Showing 2231 to 2240 of 3475 articles

Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network.

Japanese journal of radiology Mar 19, 2019
PURPOSE: We aimed to use deep learning with convolutional neural network (CNN) to discriminate between benign and malignant breast mass images from ultrasound.
Humans Neural Networks, Computer Databases, Factual Retrospective Studies Female Reproducibility of Results Ultrasonography, Mammary Breast Image Interpretation, Computer-Assisted Breast Neoplasms Aged Middle Aged Aged, 80 and over Deep Learning Young Adult ROC Curve Adult Diagnosis, Differential Sensitivity and Specificity
View on PubMed DOI

Reliability and acceptability of using a social robot to carry out cognitive tests for community-dwelling older adults.

Geriatrics & gerontology international Mar 18, 2019
AIM: To improve access to cognitive testing for older adults, the reliability and acceptability of a speech-based cognitive test administered by a social robot were investigated.
Geriatric Assessment Japan Cognition Disorders Humans Independent Living Female Reproducibility of Results Aged Aged, 80 and over Male Robotics
View on PubMed DOI

3D radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U-net deep learning architecture.

Physics in medicine and biology Mar 18, 2019
The treatment planning process for patients with head and neck (H&N) cancer is regarded as one of the most complicated due to large target volume, multiple prescription dose levels, and many radiation-sensitive critical structures near the target. Tr...
Head and Neck Neoplasms Humans Organs at Risk Algorithms Radiotherapy Planning, Computer-Assisted Young Adult Aged Radiotherapy Dosage Adult Aged, 80 and over Radiotherapy, Intensity-Modulated Middle Aged Deep Learning Adolescent
View on PubMed DOI

Self-Anamnesis with a Conversational User Interface: Concept and Usability Study.

Methods of information in medicine Mar 15, 2019
OBJECTIVE: Self-anamnesis is a procedure in which a patient answers questions about the personal medical history without interacting directly with a doctor or medical assistant. If collected digitally, the anamnesis data can be shared among the healt...
Middle Aged Surveys and Questionnaires Adolescent User-Computer Interface Aged, 80 and over Programming Languages Humans Young Adult Medical History Taking Artificial Intelligence Adult Female Music Therapy Feedback Aged Male
View on PubMed DOI

Analysis and evaluation of handwriting in patients with Parkinson's disease using kinematic, geometrical, and non-linear features.

Computer methods and programs in biomedicine Mar 13, 2019
BACKGROUND AND OBJECTIVES: Parkinson's disease is a neurological disorder that affects the motor system producing lack of coordination, resting tremor, and rigidity. Impairments in handwriting are among the main symptoms of the disease. Handwriting a...
Nonlinear Dynamics Pattern Recognition, Automated Handwriting Tremor Middle Aged Deep Learning Models, Theoretical Support Vector Machine Parkinson Disease Aged, 80 and over Adult Biomechanical Phenomena Male Humans Algorithms Female Reproducibility of Results Aged
View on PubMed DOI

Predicting hospital-acquired pneumonia among schizophrenic patients: a machine learning approach.

BMC medical informatics and decision making Mar 13, 2019
BACKGROUND: Medications are frequently used for treating schizophrenia, however, anti-psychotic drug use is known to lead to cases of pneumonia. The purpose of our study is to build a model for predicting hospital-acquired pneumonia among schizophren...
Aged, 80 and over Adult Male Middle Aged Comorbidity Humans Machine Learning Female Risk Factors Aged Hospitals, Psychiatric Decision Trees Healthcare-Associated Pneumonia Schizophrenia Clozapine Antipsychotic Agents
View on PubMed DOI

HABITAT: An IoT Solution for Independent Elderly.

Sensors (Basel, Switzerland) Mar 12, 2019
In this work, a flexible and extensive digital platform for Smart Homes is presented, exploiting the most advanced technologies of the Internet of Things, such as Radio Frequency Identification, wearable electronics, Wireless Sensor Networks, and Art...
Aged, 80 and over Male Internet Humans Artificial Intelligence Delivery of Health Care Female Aged
View on PubMed DOI

Neural Networks for Deep Radiotherapy Dose Analysis and Prediction of Liver SBRT Outcomes.

IEEE journal of biomedical and health informatics Mar 11, 2019
Stereotactic body radiation therapy (SBRT) is a relatively novel treatment modality, with little post-treatment prognostic information reported. This study proposes a novel neural network based paradigm for accurate prediction of liver SBRT outcomes....
Liver Neoplasms Liver Radiotherapy Planning, Computer-Assisted Radiosurgery Kaplan-Meier Estimate Male Middle Aged Disease Progression Deep Learning ROC Curve Humans Neural Networks, Computer Algorithms Female Aged Aged, 80 and over Adult
View on PubMed DOI

Prediction of survival outcomes in patients with epithelial ovarian cancer using machine learning methods.

Journal of gynecologic oncology Mar 11, 2019
OBJECTIVES: The aim of this study was to develop a new prognostic classification for epithelial ovarian cancer (EOC) patients using gradient boosting (GB) and to compare the accuracy of the prognostic model with the conventional statistical method.
Young Adult Ovarian Neoplasms Humans Female Adult Carcinoma, Ovarian Epithelial Machine Learning Risk Factors Biomarkers, Tumor Proportional Hazards Models Retrospective Studies Aged Middle Aged CA-125 Antigen Aged, 80 and over Adolescent Kaplan-Meier Estimate
View on PubMed DOI

Prospective validation of a deep learning electrocardiogram algorithm for the detection of left ventricular systolic dysfunction.

Journal of cardiovascular electrophysiology Mar 10, 2019
OBJECTIVES: We sought to validate a deep learning algorithm designed to predict an ejection fraction (EF) less than or equal to 35% based on the 12-lead electrocardiogram (ECG) in a large prospective cohort.
Ventricular Dysfunction, Left Deep Learning Electrocardiography Predictive Value of Tests Signal Processing, Computer-Assisted Heart Rate Female Reproducibility of Results Ventricular Function, Left Aged Humans Stroke Volume Aged, 80 and over Prospective Studies Echocardiography Male Prognosis Middle Aged Diagnosis, Computer-Assisted
View on PubMed DOI
Popular Topics
Recent Journals