Latest AI and machine learning research in us health policy for healthcare professionals.
AI researchers and ethicists have long worried about the threat that automation poses to human dignity, autonomy, and to the sense of personal value that is tied to work. Typically, proposed solutions to this problem focus on ways in which we can reduce the number of job losses which result from automation, ways to retrain those that lose their jobs, or ways to mitigate the social consequences o...
Self-tracking, the collection, analysis, and interpretation of personal data, signifies an individualized way of health governance as people are dem...
Machine learning (ML) datasets, often perceived as neutral, inherently encapsulate abstract and disputed social constructs. Dataset curators frequen...
MathML has been successful in improving the accessibility of mathematical notation on the web. All major screen readers support MathML to generate s...
In 2008, Oregon expanded its Medicaid program using a lottery, creating a rare opportunity to study the effects of Medicaid coverage using a randomize...
OBJECTIVES: In 2018, CMS established reimbursement for the first Medicare-covered artificial intelligence (AI)-enabled clinical software: CT fractiona...
According to the World Health Organization, climate change is the single biggest health threat facing humanity. The global health care system, includi...
This study explores the potential of utilizing administrative claims data, combined with advanced machine learning and deep learning techniques, to pr...
Finding the properties underlying beauty has always been a prominent yet difficult problem. However, new technological developments have often aided s...
BACKGROUND: Persons living with dementia and their care partners place a high value on aging in place and maintaining independence. Socially assistive...
Radiologists have been at the forefront of the digitization process in medicine. Artificial intelligence (AI) is a promising area of innovation, parti...
Disaster response procedures have been developed and improved following the Great East Japan Earthquake. Innovative services have also been created th...
In recent years, machine learning (ML) and artificial neural networks (ANNs), a particular subset of ML, have been adopted by various areas of healthc...
Artificial intelligence (AI) is critical to harnessing value from exponentially growing health and healthcare data. Expectations are high for AI solut...
Many functions have been attributed to the orbitofrontal cortex (OFC)-some classical roles, such as signaling the value of action outcomes, being chal...
In the 21 century, while some people seek to use artificial intelligence for health services delivery, others have to surrender their health rights to...
Secondary hyperparathyroidism (SHPT) is a common complication of end-stage renal disease. Surgical management occurs in severe forms and/or unresponsi...
OBJECTIVE: The objective of this study was to examine variation in hospital responses to the Centers for Medicare and Medicaid's expansion of allowabl...