AIMC Topic: United States
Clear Filters Showing 1151 to 1160 of 1291 articles
The next-generation bots interfering with the US election.
Nature
Nov 1, 2020
An East Coast Perspective on Artificial Intelligence and Machine Learning: Part 2: Ischemic Stroke Imaging and Triage.
Neuroimaging clinics of North America
Nov 1, 2020
Acute ischemic stroke constitutes approximately 85% of strokes. Most strokes occur in community settings; thus, automatic algorithms techniques are attractive for managing these cases. This article reviews the use of deep learning convolutional neura...
Patient Coded Severity and Payment Penalties Under the Hospital Readmissions Reduction Program: A Machine Learning Approach.
Medical care
Nov 1, 2020
OBJECTIVE: The objective of this study was to examine variation in hospital responses to the Centers for Medicare and Medicaid's expansion of allowable secondary diagnoses in January 2011 and its association with financial penalties under the Hospita...
Robotic Pet Use Among Community-Dwelling Older Adults.
The journals of gerontology. Series B, Psychological sciences and social sciences
Oct 16, 2020
OBJECTIVE: The primary purpose of this study was to explore the efficacy of robotic pets in alleviating loneliness for older adults.
The Case for Algorithmic Stewardship for Artificial Intelligence and Machine Learning Technologies.
JAMA
Oct 13, 2020
Machine intelligence for early targeted precision management and response to outbreaks of respiratory infections.
The American journal of managed care
Oct 1, 2020
OBJECTIVES: To evaluate the utility of machine learning (ML) for the management of Medicare beneficiaries at risk of severe respiratory infections in community and postacute settings by (1) identifying individuals in a community setting at risk of in...
Exploiting Rules to Enhance Machine Learning in Extracting Information From Multi-Institutional Prostate Pathology Reports.
JCO clinical cancer informatics
Oct 1, 2020
PURPOSE: Literature on clinical note mining has highlighted the superiority of machine learning (ML) over hand-crafted rules. Nevertheless, most studies assume the availability of large training sets, which is rarely the case. For this reason, in the...
Geographic Distribution of US Cohorts Used to Train Deep Learning Algorithms.
JAMA
Sep 22, 2020
This study describes the US geographic distribution of patient cohorts used to train deep learning algorithms in published radiology, ophthalmology, dermatology, pathology, gastroenterology, and cardiology machine learning articles published in 2015-...
Workforce Shortage for Retinopathy of Prematurity Care and Emerging Role of Telehealth and Artificial Intelligence.
Pediatric clinics of North America
Aug 1, 2020
Retinopathy of prematurity (ROP) is the leading cause of childhood blindness in very-low-birthweight and very preterm infants in the United States. With improved survival of smaller babies, more infants are at risk for ROP, yet there is an increasing...
Machine Learning Analysis Reveals Novel Neuroimaging and Clinical Signatures of Frailty in HIV.
Journal of acquired immune deficiency syndromes (1999)
Aug 1, 2020
BACKGROUND: Frailty is an important clinical concern for the aging population of people living with HIV (PLWH). The objective of this study was to identify the combination of risk features that distinguish frail from nonfrail individuals.
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