AIMC Topic: Aged, 80 and over

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Machine learning-based multimodal prediction of language outcomes in chronic aphasia.

Human brain mapping Dec 30, 2020
Recent studies have combined multiple neuroimaging modalities to gain further understanding of the neurobiological substrates of aphasia. Following this line of work, the current study uses machine learning approaches to predict aphasia severity and ...
Stroke Outcome Assessment, Health Care Neuroimaging Cerebrovascular Circulation Diffusion Tensor Imaging Support Vector Machine Magnetic Resonance Imaging Multimodal Imaging Chronic Disease Language Tests Aphasia Humans Female Aged Aged, 80 and over Adult Male Middle Aged Severity of Illness Index Functional Neuroimaging
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Annotation and extraction of age and temporally-related events from clinical histories.

BMC medical informatics and decision making Dec 30, 2020
BACKGROUND: Age and time information stored within the histories of clinical notes can provide valuable insights for assessing a patient's disease risk, understanding disease progression, and studying therapeutic outcomes. However, details of age and...
Humans Aged, 80 and over Cohort Studies Natural Language Processing
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The Co-Pilot Project: An International Neurosurgical Collaboration in Ukraine.

World neurosurgery Dec 29, 2020
OBJECTIVE: We aim to provide a thorough description of the efforts and outcomes of the Co-Pilot Project in Ukraine, which facilitates neurosurgical collaboration between American and Ukrainian physicians.
Brain Neoplasms Male Child, Preschool Middle Aged Education, Medical Humans Pilot Projects Aged Child Adolescent Ukraine Physicians Aged, 80 and over Neurosurgical Procedures Retrospective Studies Young Adult Neurosurgery Female Adult
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Nursing documentation of symptoms is associated with higher risk of emergency department visits and hospitalizations in homecare patients.

Nursing outlook Dec 29, 2020
BACKGROUND: Nurses often document patient symptoms in narrative notes.
Emergency Service, Hospital Documentation Humans New England Electronic Health Records Symptom Assessment Female Home Care Services Nursing Care Male Hospitalization Middle Aged Aged Aged, 80 and over Adult Risk Assessment Natural Language Processing
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Predicting wet age-related macular degeneration (AMD) using DARC (detecting apoptosing retinal cells) AI (artificial intelligence) technology.

Expert review of molecular diagnostics Dec 28, 2020
OBJECTIVES: To assess a recently described CNN (convolutional neural network) DARC (Detection of Apoptosing Retinal Cells) algorithm in predicting new Subretinal Fluid (SRF) formation in Age-related-Macular-Degeneration (AMD).
Humans Male Apoptosis Neural Networks, Computer Rabbits Female Retina Aged, 80 and over Macular Degeneration Animals
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A Machine Learning Approach to Identify Predictors of Potentially Inappropriate Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) Use in Older Adults with Osteoarthritis.

International journal of environmental research and public health Dec 28, 2020
Evidence from some studies suggest that osteoarthritis (OA) patients are often prescribed non-steroidal anti-inflammatory drugs (NSAIDs) that are not in accordance with their cardiovascular (CV) or gastrointestinal (GI) risk profiles. However, no suc...
United States Anti-Inflammatory Agents, Non-Steroidal Medicare Osteoarthritis Gastrointestinal Diseases Female Humans Inappropriate Prescribing Aged Machine Learning Aged, 80 and over Retrospective Studies Male Cardiovascular Diseases
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Machine learning and natural language processing (NLP) approach to predict early progression to first-line treatment in real-world hormone receptor-positive (HR+)/HER2-negative advanced breast cancer patients.

European journal of cancer (Oxford, England : 1990) Dec 26, 2020
BACKGROUND: CDK4/6 inhibitors plus endocrine therapies are the current standard of care in the first-line treatment of HR+/HER2-negative metastatic breast cancer, but there are no well-established clinical or molecular predictive factors for patient ...
Prognosis Retrospective Studies Electronic Health Records Female Aged Humans Machine Learning Follow-Up Studies Natural Language Processing Receptor, ErbB-2 Receptors, Estrogen Receptors, Progesterone Breast Neoplasms Middle Aged Disease Progression Aged, 80 and over Antineoplastic Combined Chemotherapy Protocols Young Adult Adult Survival Rate
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Segmentation of Chronic Subdural Hematomas Using 3D Convolutional Neural Networks.

World neurosurgery Dec 24, 2020
OBJECTIVE: Chronic subdural hematomas (cSDHs) are an increasingly prevalent neurologic disease that often requires surgical intervention to alleviate compression of the brain. Management of cSDHs relies heavily on computed tomography (CT) imaging, an...
Middle Aged Deep Learning Imaging, Three-Dimensional Hematoma, Subdural, Chronic Female Aged Aged, 80 and over Male Humans Neural Networks, Computer Databases, Factual Tomography, X-Ray Computed
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Validation of the Al-based Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) Calculator in Patients 65 Years and Older.

Annals of surgery Dec 23, 2020
OBJECTIVE: We sought to assess the performance of the Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) tool in elderly emergency surgery (ES) patients.
Male Risk Assessment Postoperative Complications Hospital Mortality Female Risk Factors Aged Aged, 80 and over Humans Artificial Intelligence Databases, Factual
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Prevalence of and Risk Factors for Hypovitaminosis D in Patients with Rotator Cuff Tears.

Clinics in orthopedic surgery Dec 21, 2020
BACKGROUD: It has been reported that vitamin D may play an important role in rotator cuff tears. However, there has been limited information about the prevalence of and risk factors for hypovitaminosis D in patients with rotator cuff tears. Therefore...
Vitamin D Vitamin D Deficiency Age Factors Aged, 80 and over Humans Rotator Cuff Injuries Sex Factors Adult Retrospective Studies Middle Aged Risk Factors Prevalence Aged
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