Using a dataset of electronic health records along with survey results, machine learning algorithms utilized artificial intelligence to communicate patient satisfaction improvement recommendations,...
A new study from Klick Applied Sciences suggests that people who use artificial intelligence-driven voice assistants for medication information will find the best results from Google Assistant....
Google has announced a dermatology tool powered by artificial intelligence that will help users understand issues with their skin, hair, and nails.
The tool uses many of the same techniques that...
A new study by the Boston University School of Public Health (BUSPH) leveraged age-adjusted and state-level data analytics and found that racial disparities are broader than previous research...
Using a predictive analytics model, providers could proactively identify pediatric patients at risk of developing blood clots or venous thromboembolisms (VTEs), according to a study published in...
Social determinants of health, including geography and race and ethnicity, have an impact on prenatal detection (PND) of two of the most common congenital heart diseases (CHDs), a new study published...
Across the healthcare industry, leaders are increasingly leveraging real-time data analytics tools to advance insights and improve decision-making.
In high-risk care settings, these tools are...
Socioeconomics, access to health care, environmental factors, and other social determinants of health may be linked to premature stroke mortality, according to a recent study from JAMA...
To ensure the safe and effective use of artificial intelligence in healthcare, researchers and developers will need to work to eliminate bias in these tools, according to a perspective paper by...
Artificial intelligence software and a brain-computer interface (BCI) device have enabled a man with full-body paralysis to communicate by text at a rate of 18 words per minute,...
Using predictive analytics and X-ray imaging data, an artificial intelligence computer program predicted which COVID-19 patients would develop life-threatening medical issues within four days with up...
Over the past year, data analytics resources have become essential tools for organizations and policymakers seeking to enhance their population health efforts – even more so than before the...
A study presented at the American College of Cardiology’s 70th Annual Scientific Session revealed that social determinants of health may contribute to racial disparities in heart...
To effectively treat a disease as complex as cancer, the healthcare industry has recognized the need to tailor therapeutic approaches to individual patients – a method commonly known as precision...
Yale University and Boehringer Ingelheim have partnered to launch a Biomedical Data Science Fellowship program, to be awarded to post-doctoral researchers focused on drug discovery and...
Using deep learning, radiologists could more accurately evaluate lung cancer types on CT scans and improve treatment plans, according to a study published in the Journal of Medical Imaging.
The...
A precision medicine therapy developed by researchers at UCLA and Great Ormond Street Hospital (GOSH) in London restored immune function in more than 95 percent of pediatric patients.
Using the...
Researchers at the University of California San Diego have developed an artificial intelligence algorithm that can help robots better navigate the ED.
The team has also developed a dataset of...
Machine learning can measure unconsciousness in patients under anesthesia, allowing anesthesiologists to optimize drug doses, according to a study published in PLOS One.
Anesthetic drugs act on the...
A predictive analytics model can forecast where disease will spread from an outbreak, in what patterns, and how quickly, according to a study published in Proceedings of the National Academy of...
