AIMC Topic: Aged, 80 and over

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ELEMENT: Multi-Modal Retinal Vessel Segmentation Based on a Coupled Region Growing and Machine Learning Approach.

IEEE journal of biomedical and health informatics Dec 4, 2020
Vascular structures in the retina contain important information for the detection and analysis of ocular diseases, including age-related macular degeneration, diabetic retinopathy and glaucoma. Commonly used modalities in diagnosis of these diseases ...
Middle Aged Multimodal Imaging Image Interpretation, Computer-Assisted Diagnostic Techniques, Ophthalmological Retinal Vessels Machine Learning Algorithms Aged Aged, 80 and over Adult Humans Diabetic Retinopathy
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Dehaze of Cataractous Retinal Images Using an Unpaired Generative Adversarial Network.

IEEE journal of biomedical and health informatics Dec 4, 2020
Cataracts are the leading cause of visual impairment worldwide. Examination of the retina through cataracts using a fundus camera is challenging and error-prone due to degraded image quality. We sought to develop an algorithm to dehaze such images to...
Humans Middle Aged Deep Learning Image Processing, Computer-Assisted Cataract Extraction Cataract Retina Neural Networks, Computer Algorithms Female Aged Aged, 80 and over Male
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Interaction between hypotension and age on adrenal crisis diagnosis.

Endocrinology, diabetes & metabolism Dec 2, 2020
OBJECTIVE: To determine whether adrenal crisis (AC) identification may be affected by the definition of hypotension.
Blood Pressure Determination Young Adult Delayed Diagnosis Humans Age Factors Retrospective Studies Adult Adrenal Insufficiency Male Female Blood Pressure Aged Cardiovascular Diseases Hypotension Aged, 80 and over Middle Aged Adolescent
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A new deep learning approach integrated with clinical data for the dermoscopic differentiation of early melanomas from atypical nevi.

Journal of dermatological science Dec 2, 2020
BACKGROUND: Timely recognition of malignant melanoma (MM) is challenging for dermatologists worldwide and represents the main determinant for mortality. Dermoscopic examination is influenced by dermatologists' experience and fails to achieve adequate...
Humans Retrospective Studies Female Infant, Newborn Deep Learning Adolescent Child, Preschool Child Diagnosis, Differential Skin Aged, 80 and over Image Interpretation, Computer-Assisted Datasets as Topic Young Adult Nevus Adult Melanoma Male Skin Neoplasms Middle Aged Dermoscopy Infant Reproducibility of Results Aged
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Development and validation of a real-time artificial intelligence-assisted system for detecting early gastric cancer: A multicentre retrospective diagnostic study.

EBioMedicine Nov 27, 2020
BACKGROUND: We aimed to develop and validate a real-time deep convolutional neural networks (DCNNs) system for detecting early gastric cancer (EGC).
Humans ROC Curve Artificial Intelligence Retrospective Studies Early Detection of Cancer Female Neoplasm Staging Reproducibility of Results Neoplasm Grading Aged Endoscopy, Gastrointestinal Aged, 80 and over Workflow Adult Stomach Neoplasms Male Middle Aged
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Training confounder-free deep learning models for medical applications.

Nature communications Nov 26, 2020
The presence of confounding effects (or biases) is one of the most critical challenges in using deep learning to advance discovery in medical imaging studies. Confounders affect the relationship between input data (e.g., brain MRIs) and output variab...
Humans Brain Female Aged Aged, 80 and over Young Adult Adult Male Middle Aged Case-Control Studies Deep Learning Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Adolescent Datasets as Topic Predictive Value of Tests HIV Infections Age Determination by Skeleton Radiography Cohort Studies Hand Child Sex Characteristics Age Factors Sex Factors
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Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study.

PloS one Nov 24, 2020
The recent medical applications of deep-learning (DL) algorithms have demonstrated their clinical efficacy in improving speed and accuracy of image interpretation. If the DL algorithm achieves a performance equivalent to that achieved by physicians i...
Adult Humans Sensitivity and Specificity Female Triage COVID-19 Male Radiologists Retrospective Studies Middle Aged Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Tomography, X-Ray Computed Deep Learning Data Accuracy SARS-CoV-2 Republic of Korea Reverse Transcriptase Polymerase Chain Reaction Aged Radiography, Thoracic Aged, 80 and over
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A comparison of machine learning methods for survival analysis of high-dimensional clinical data for dementia prediction.

Scientific reports Nov 23, 2020
Data collected from clinical trials and cohort studies, such as dementia studies, are often high-dimensional, censored, heterogeneous and contain missing information, presenting challenges to traditional statistical analysis. There is an urgent need ...
Cognitive Dysfunction Dementia Longitudinal Studies Alzheimer Disease Survival Analysis Early Diagnosis Neuroimaging Neuropsychological Tests Prognosis Female Aged Aged, 80 and over Male Aging Humans Machine Learning Biomarkers
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Performance evaluation of machine learning-based infectious screening flags on the HORIBA Medical Yumizen H550 Haematology Analyzer for vivax malaria and dengue fever.

Malaria journal Nov 23, 2020
BACKGROUND: Automated detection of malaria and dengue infection has been actively researched for more than two decades. Although many improvements have been achieved, these solutions remain too expensive for most laboratories and clinics in developin...
Male Middle Aged Infant Adolescent Child, Preschool Child Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Malaria, Vivax Plasmodium vivax India Dengue Virus Diagnostic Tests, Routine Parasitemia Dengue Humans Machine Learning Female
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The Perceptions of People with Dementia and Key Stakeholders Regarding the Use and Impact of the Social Robot MARIO.

International journal of environmental research and public health Nov 20, 2020
People with dementia often experience loneliness and social isolation. This can result in increased cognitive decline which, in turn, has a negative impact on quality of life. This paper explores the use of the social robot, MARIO, with older people ...
Humans Caregivers Aged Aged, 80 and over Ireland Quality of Life Social Support Dementia Robotics Italy
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