A machine learning algorithm can detect the likelihood of COVID-19 infection using routine blood tests, potentially lowering the number of patients referred for PCR testing in the ED, according to a...
Amazon Web Services (AWS) has announced Amazon HealthLake, a HIPAA-eligible service that aims to support interoperability standards and further drive the use of big data analytics in...
Researchers at Johns Hopkins Bloomberg School of Public Health have developed a series of case studies for public health issues that will enable healthcare leaders to use big data analytics tools in...
A data analytics tool shows organizations how different COVID-19 testing strategies and other mitigation methods can help reduce the spread of the virus.
Funded by the National Institute of Biomedical...
Real-time data analytics and partnerships between researchers and healthcare providers will help boost heart health, according to a report published in Circulation by the American Heart Association...
A machine learning algorithm can analyze medical images and predict which breast cancer patients need surgery, revealed a study published in the American Journal of Physiology – Cell...
A deep learning algorithm accurately identified allergic reactions in hospital patient safety reports, which could help providers avoid medical errors and improve event surveillance, according to a...
A deep learning model can measure the volume of cerebral ventricles on pediatric brain scans, leading to improved treatment of a pathological condition called hydrocephalus, according to a study...
Machine learning tools can analyze certain types of retinal images to identify Alzheimer’s disease in symptomatic individuals, according to a study published in the British Journal of...
As big data analytics technologies continue to move from research labs to clinical settings, organizations are increasingly leveraging these tools to design more comprehensive cancer...
Researchers from UCLA Fielding School of Public Health have identified high-risk population groups in California during the COVID-19 pandemic using demographic data analytics.
For more coronavirus...
A machine learning tool was able to detect COVID-19 in x-ray images about ten times faster and one to six percent more accurately than specialized thoracic radiologists, according to a study published...
A team from Purdue University is leveraging artificial intelligence technology to collect and automatically measure the speech skills of people with Parkinson’s disease.
According to the...
A predictive analytics platform was able to accurately determine the probability of death or need for critical care within seven days for emergency department patients with COVID-19 symptoms, according...
While the dawn of the EHR promised streamlined, accelerated healthcare delivery, the technology can also include burdensome alerts and documentation requirements that lead to clinician...
Predictive analytics could help providers determine a hospitalized patient’s overnight stability, allowing patients to rest and recover faster, according to a study published in Nature Partner...
CMS has selected Geisinger as one of seven finalists in its Artificial Intelligence Health Outcomes Challenge.
In collaboration with Medial EarlySign, the health system used artificial intelligence...
A machine learning algorithm accurately determined how well skin cancer patients would respond to tumor-suppressing drugs in four out of five cases, according to research conducted by a team from NYU...
The rise of artificial intelligence tools in healthcare has introduced new methods of care delivery, giving providers the ability to reach patients outside the four walls of the doctor’s...
More robust and standardized social determinants of health (SDOH) data will improve SDOH initiatives and patient care, according to providers in Insights by Xtelligent Healthcare Media’s most...
