While the promises of precision medicine in healthcare are seemingly boundless, the industry has had to overcome several challenges to integrating these approaches with everyday clinical care.
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A simple machine learning approach predicted cirrhosis mortality risk as accurately as less interpretable algorithms, and also outperformed traditional risk methods, a study published in JAMA Network...
The majority of COVID-19 data visualizations shared by average Twitter users contained one of five errors that reduced their accuracy or reliability, according to a study published in Informatics.
For...
Combining formal instruction with practical problem-solving for fourth-year residents could accelerate the use of artificial intelligence in radiology, according to a report published in Radiology:...
Machine learning tools can predict the likelihood that a patient with a urinary tract infection (UTI) won’t respond to antibiotics, which could reduce antibiotic resistance in outpatient clinical...
Using predictive analytics technology, clinical decision support tools can help organizations assess resource utilization for elective surgeries during the COVID-19 pandemic, revealed a study published...
Using a real-time data monitoring tool, researchers from Michigan Medicine discovered a 15 percent rise in suspected opioid overdose deaths since the early weeks of the COVID-19 pandemic.
The tool...
Applying a deep learning model to standard CT scans could generate higher-quality images, enabling providers to extract better insights and improve diagnosis, according to a study published in...
Since the sudden onset of the COVID-19 pandemic, researchers and provider organizations have been working to develop accurate, timely artificial intelligence and data analytics tools that can help...
As organizations across the healthcare landscape seek to maintain or improve population health during the COVID-19 pandemic, researchers are turning to genetics to better understand patient outcomes...
Researchers at the University of Missouri School of Medicine, in partnership with Roche Diagnostics, have developed a big data dashboard to optimize the process of gathering relevant information for...
In order to understand the reasons behind COVID-19 disparities, healthcare organizations are increasingly conducting county-level data analyses in communities across the US.
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While the rapid spread of COVID-19 has exposed many unflattering healthcare truths, the glaring health disparities highlighted by the pandemic are perhaps the most detrimental to patient health.
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A predictive analytics model could spot illicit online pharmacies, enhancing drug safety and patient health, a study published in JMIR revealed.
Online pharmacies have grown in popularity in recent...
The Department of Defense’s (DoD) Defense Innovation Unit (DIU) is leveraging artificial intelligence tools and the department’s vast amount of medical data to identify cancers and other...
Gaps in early COVID-19 data led to significant underreporting of coronavirus cases, ultimately contributing to a large number of infections in the US by early March, a study published in the...
Heart failure and hypertensive heart disease deaths are increasing among black men and women despite advances in heart disease management, highlighting persistent racial disparities that should be...
Black, Hispanic, American Indian, and Alaskan Native patients are more likely to be hospitalized due to COVID-19 than white individuals, showing that there are significant disparities among racial and...
The Johns Hopkins Center for Health Equity, the Bloomberg American Health Initiative, and IBM Watson Health are partnering to develop a health equity measure that will incentivize healthcare...
An analysis of COVID-19 data showed that infection rates are higher among minority and socioeconomically disadvantaged children, indicating that racial and ethnic disparities persist even in pediatric...
