AIMC Topic: Aged, 80 and over

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Can we screen for pancreatic cancer? Identifying a sub-population of patients at high risk of subsequent diagnosis using machine learning techniques applied to primary care data.

PloS one Jun 2, 2021
BACKGROUND: Pancreatic cancer (PC) represents a substantial public health burden. Pancreatic cancer patients have very low survival due to the difficulty of identifying cancers early when the tumour is localised to the site of origin and treatable. R...
Survival Rate Electronic Health Records Male Female Middle Aged Humans Aged Risk Assessment Machine Learning Aged, 80 and over Case-Control Studies Algorithms Young Adult Adolescent Prospective Studies Adult Primary Health Care Prognosis Follow-Up Studies Early Detection of Cancer Pancreatic Neoplasms
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Machine Learning Approaches to Predict Hepatotoxicity Risk in Patients Receiving Nilotinib.

Molecules (Basel, Switzerland) May 31, 2021
Although nilotinib hepatotoxicity can cause severe clinical conditions and may alter treatment plans, risk factors affecting nilotinib-induced hepatotoxicity have not been investigated. This study aimed to elucidate the factors affecting nilotinib-i...
Retrospective Studies Female Risk Factors Aged Aged, 80 and over Young Adult Chemical and Drug Induced Liver Injury Adult Male Middle Aged Risk Assessment Antineoplastic Agents Liver Humans Area Under Curve Machine Learning Odds Ratio Risk Protein Kinase Inhibitors Pyrimidines
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Improving Stroke Risk Prediction in the General Population: A Comparative Assessment of Common Clinical Rules, a New Multimorbid Index, and Machine-Learning-Based Algorithms.

Thrombosis and haemostasis May 28, 2021
BACKGROUND: There are few large studies examining and predicting the diversified cardiovascular/noncardiovascular comorbidity relationships with stroke. We investigated stroke risks in a very large prospective cohort of patients with multimorbidity, ...
Algorithms Prospective Studies Female Risk Factors Aged Logistic Models Aged, 80 and over United States Stroke Medicare Adult Multimorbidity Humans Male Insurance Claim Review Machine Learning Middle Aged Risk Assessment Adolescent Cohort Studies
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Geometric deep learning on brain shape predicts sex and age.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society May 27, 2021
The complex relationship between the shape and function of the human brain remains elusive despite extensive studies of cortical folding over many decades. The analysis of cortical gyrification presents an opportunity to advance our knowledge about t...
Adolescent Child Magnetic Resonance Imaging Neuroimaging Aged, 80 and over Young Adult Adult Humans Middle Aged Deep Learning Neural Networks, Computer Brain Aged
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Toward understanding COVID-19 pneumonia: a deep-learning-based approach for severity analysis and monitoring the disease.

Scientific reports May 27, 2021
We report a new approach using artificial intelligence (AI) to study and classify the severity of COVID-19 using 1208 chest X-rays (CXRs) of 396 COVID-19 patients obtained through the course of the disease at Emory Healthcare affiliated hospitals (At...
Area Under Curve Radiography Computer Simulation Female Humans Aged Neural Networks, Computer Aged, 80 and over Middle Aged Artificial Intelligence Adult Disease Progression COVID-19 Male Severity of Illness Index Algorithms Deep Learning Adolescent Image Processing, Computer-Assisted
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Economic and utilization outcomes of medication management at a large Medicaid plan with disease management pharmacists using a novel artificial intelligence platform from 2018 to 2019: a retrospective observational study using regression methods.

Journal of managed care & specialty pharmacy May 25, 2021
Medication therapy management (MTM) and comprehensive medication management (CMM) have been practiced by clinical pharmacists as a predominantly manual activity with interventions documented in a record-keeping system. Program evaluations, largely b...
Male Middle Aged Infant Adolescent Child, Preschool Child Female Aged Aged, 80 and over Young Adult Adult United States Regression Analysis Medication Therapy Management Medicaid Pharmaceutical Services Humans Artificial Intelligence Retrospective Studies
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Using deep learning convolutional neural networks to automatically perform cerebral aqueduct CSF flow analysis.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia May 24, 2021
Since the development of phase-contrast magnetic resonance imaging (PC-MRI), quantification of cerebrospinal fluid (CSF) flow across the cerebral aqueduct has been utilized for diagnosis of conditions such as normal pressure hydrocephalus (NPH). This...
Aged, 80 and over Young Adult Adult Cross-Sectional Studies Male Middle Aged Humans Neural Networks, Computer Retrospective Studies Female Hydrocephalus, Normal Pressure Infant, Newborn Cerebral Aqueduct Infant Aged Deep Learning Adolescent Child, Preschool Child Magnetic Resonance Imaging
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Deep-Learning-Driven Quantification of Interstitial Fibrosis in Digitized Kidney Biopsies.

The American journal of pathology May 23, 2021
Interstitial fibrosis and tubular atrophy (IFTA) on a renal biopsy are strong indicators of disease chronicity and prognosis. Techniques that are typically used for IFTA grading remain manual, leading to variability among pathologists. Accurate IFTA ...
Infant Deep Learning Adolescent Child, Preschool Child Kidney Diseases Biopsy Fibrosis Image Interpretation, Computer-Assisted Aged Aged, 80 and over Young Adult Adult Male Middle Aged Humans Female Infant, Newborn
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Machine Learning Algorithm Identifies the Importance of Environmental Factors for Hospital Discharge to Home of Stroke Patients using Wheelchair after Discharge.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association May 21, 2021
BACKGROUND AND PURPOSE: Physical environmental factors are generally likely to become barriers for discharge to home of wheelchair users, compared with non-wheelchair users. However, the importance of environmental factors has not been investigated a...
Machine Learning Decision Support Techniques Databases, Factual Clinical Decision-Making Female Aged Humans Patient Discharge Self-Help Devices Stroke Mobility Limitation Activities of Daily Living Housing Stroke Rehabilitation Wheelchairs Aged, 80 and over Male Treatment Outcome Environment Design Disability Evaluation
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Integrative learning for population of dynamic networks with covariates.

NeuroImage May 20, 2021
Although there is a rapidly growing literature on dynamic connectivity methods, the primary focus has been on separate network estimation for each individual, which fails to leverage common patterns of information. We propose novel graph-theoretic ap...
Unsupervised Machine Learning Connectome Nerve Net Humans Neural Networks, Computer Brain Computer Simulation Female Aged Aged, 80 and over Male Middle Aged Magnetic Resonance Imaging
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