AIMC Topic: Aged, 80 and over

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Glaucoma Expert-Level Detection of Angle Closure in Goniophotographs With Convolutional Neural Networks: The Chinese American Eye Study.

American journal of ophthalmology Feb 9, 2021
PURPOSE: To compare the performance of a novel convolutional neural network (CNN) classifier and human graders in detecting angle closure in EyeCam (Clarity Medical Systems, Pleasanton, California, USA) goniophotographs.
Anterior Eye Segment Ophthalmologists Glaucoma, Angle-Closure Aged, 80 and over Gonioscopy Image Processing, Computer-Assisted Specialization Cross-Sectional Studies Area Under Curve Male Expert Systems Middle Aged Humans Asian Diagnosis, Computer-Assisted Neural Networks, Computer Photography China Retrospective Studies Female Reproducibility of Results Aged
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Classification of COVID-19 by Compressed Chest CT Image through Deep Learning on a Large Patients Cohort.

Interdisciplinary sciences, computational life sciences Feb 9, 2021
Corona Virus Disease (COVID-19) has spread globally quickly, and has resulted in a large number of causalities and medical resources insufficiency in many countries. Reverse-transcriptase polymerase chain reaction (RT-PCR) testing is adopted as biops...
COVID-19 Tomography, X-Ray Computed Female Infant, Newborn Reproducibility of Results SARS-CoV-2 Aged Aged, 80 and over Young Adult Adult Male Middle Aged Humans ROC Curve Thorax Data Compression Infant Deep Learning Adolescent Cohort Studies Child, Preschool Child
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A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil.

Scientific reports Feb 8, 2021
The new coronavirus disease (COVID-19) is a challenge for clinical decision-making and the effective allocation of healthcare resources. An accurate prognostic assessment is necessary to improve survival of patients, especially in developing countrie...
Lymphocyte Count Algorithms Prognosis Length of Stay Intensive Care Units Cohort Studies Female Reverse Transcriptase Polymerase Chain Reaction SARS-CoV-2 Computational Biology Aged Humans C-Reactive Protein Aged, 80 and over Machine Learning Adult COVID-19 Male Middle Aged Brazil Respiration, Artificial
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Lung Cancer and Granuloma Identification Using a Deep Learning Model to Extract 3-Dimensional Radiomics Features in CT Imaging.

Clinical lung cancer Feb 6, 2021
BACKGROUND: We aimed to evaluate a deep learning (DL) model combining perinodular and intranodular radiomics features and clinical features for preoperative differentiation of solitary granuloma nodules (GNs) from solid lung cancer nodules in patient...
Adult Male Middle Aged Deep Learning Lung Neoplasms Granuloma Humans Tomography, X-Ray Computed Databases, Factual Female Retrospective Studies Aged Aged, 80 and over Young Adult
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Relation of Quantitative Histologic and Radiologic Breast Tissue Composition Metrics With Invasive Breast Cancer Risk.

JNCI cancer spectrum Feb 6, 2021
BACKGROUND: Benign breast disease (BBD) is a strong breast cancer risk factor, but identifying patients that might develop invasive breast cancer remains a challenge.
Age Factors Mammography Young Adult Humans Odds Ratio Adult Biopsy Female Breast Neoplasms Breast Density Breast Risk Factors Middle Aged Breast Diseases Supervised Machine Learning Aged Case-Control Studies Confidence Intervals Aged, 80 and over Diagnosis, Computer-Assisted
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Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients.

Scientific reports Feb 5, 2021
Patients with severe COVID-19 have overwhelmed healthcare systems worldwide. We hypothesized that machine learning (ML) models could be used to predict risks at different stages of management and thereby provide insights into drivers and prognostic m...
COVID-19 Prospective Studies Computer Simulation Prognosis Intensive Care Units Female Humans Machine Learning Age Factors Critical Care Sex Factors Middle Aged Risk Factors Respiration, Artificial Hospitalization Comorbidity Aged ROC Curve Aged, 80 and over Hypertension Male Body Mass Index
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Validation of natural language processing to determine the presence and size of abdominal aortic aneurysms in a large integrated health system.

Journal of vascular surgery Feb 4, 2021
OBJECTIVE: Previous studies of the natural history of abdominal aortic aneurysms (AAAs) have been limited by small cohort sizes or heterogeneous analyses of pooled data. By quickly and efficiently extracting imaging data from the health records, natu...
Aged, 80 and over Male Diagnosis, Computer-Assisted United States Predictive Value of Tests Aortic Aneurysm, Abdominal Prognosis Clinical Decision-Making Female Reproducibility of Results Aged Natural Language Processing Registries Image Interpretation, Computer-Assisted Delivery of Health Care, Integrated Humans
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Applying artificial intelligence to longitudinal imaging analysis of vestibular schwannoma following radiosurgery.

Scientific reports Feb 4, 2021
Artificial intelligence (AI) has been applied with considerable success in the fields of radiology, pathology, and neurosurgery. It is expected that AI will soon be used to optimize strategies for the clinical management of patients based on intensiv...
Neuroma, Acoustic Vestibulocochlear Nerve Image Processing, Computer-Assisted Treatment Outcome Humans Aged, 80 and over Magnetic Resonance Imaging Female Adult Tumor Burden Aged Male Radiosurgery Middle Aged Radiometry Deep Learning Cohort Studies
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Objective characterization of hip pain levels during walking by combining quantitative electroencephalography with machine learning.

Scientific reports Feb 4, 2021
Pain is an undesirable sensory experience that can induce depression and limit individuals' activities of daily living, in turn negatively impacting the labor force. Affected people frequently feel pain during activity; however, pain is subjective an...
Humans Machine Learning Brain Female Pain Measurement Electroencephalography Walking Arthroplasty, Replacement, Hip Arthralgia Brain Waves Aged Aged, 80 and over Adult Male Middle Aged Wearable Electronic Devices
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Machine Learning Models for Predicting Facial Nerve Palsy in Parotid Gland Surgery for Benign Tumors.

The Journal of surgical research Feb 3, 2021
BACKGROUND: Despite the increasing use of intraoperative facial nerve monitoring during parotid gland surgery (PGS) and the improvement in the preoperative radiological assessment, facial nerve injury (FNI) remains the most severe complication after ...
Aged, 80 and over Young Adult Adult Male Middle Aged Postoperative Complications Adolescent Facial Paralysis Parotid Gland Parotid Neoplasms Facial Nerve Injuries Humans Machine Learning Retrospective Studies Female Aged
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