A machine learning-based risk score can help providers identify COVID-19 patients who are most likely to experience negative outcomes, according to a study published in The Journal of Infectious...
A deep learning algorithm was able to accurately analyze tumor data and recommend the best possible treatments for patients, potentially accelerating cancer precision medicine, according to a study...
Web-based predictive analytics methods identified strong correlations between Google search trends and COVID-19 hot spots in parts of the country – as early as 16 days prior to the first reported...
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...
An emerging method builds error and uncertainty into artificial intelligence models, ultimately leading to more efficient, precise tools in many areas of research – including...
A team at the Perelman School of Medicine at the University of Pennsylvania will leverage artificial intelligence to find patterns in genetic, imaging, and clinical data from over 60,000...
Predictive analytics models that evaluate genetic and experimental data could more accurately forecast which flu strains will be most prevalent during the next winter, according to a study published in...
A $3.2 million grant from NIH will support researchers in using artificial intelligence to improve outcomes for heart transplant patients.
Researchers from the Perelman School of Medicine at the...
To reduce and track the spread of COVID-19, researchers and provider organizations have increasingly turned to artificial intelligence and machine learning tools to improve their surveillance...
UC San Francisco’s Center for Digital Health Innovation (CDHI), Microsoft Azure, Fortanix, and Intel have partnered to design a privacy-preserving data analytics platform that will aim to advance...
A new biochip uses machine learning to differentiate between cancers and healthy tissues at the single-cell level, according to a study published in Advanced Biosystems.
Because of the heterogeneous...
In an industry as high-stakes and uncertain as healthcare, predictive analytics tools and patient identifiers have emerged as viable solutions for seamless, comprehensive care delivery.
These tactics...
Patient hesitancy to seek care during the pandemic created the perfect storm for delayed care. But big data and analytics are driving population health at Southwestern Health Resources to close care...
Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a machine learning tool that can detect the severity of excess fluid in patients’ lungs...
Tufts Medical Center has announced a partnership with Olive to use artificial intelligence to streamline COVID-19 testing operations and improve the care experience for both patients and...
Using machine learning, researchers were able to cut six of the 20 questions used to diagnose post-traumatic stress disorder (PTSD) while still maintaining accuracy in a veteran population, according...
Across the country today, it is widely acknowledged that access to mental healthcare is just as important as clinical care when it comes to overall wellness.
Mental health conditions are incredibly...
An artificial intelligence-driven program will help facilitate big data analytics research among scientists without specialized expertise, according to a study published in Cancer Cell.
The...
A predictive analytics method was able to detect with 90 percent accuracy which stage 0 breast cancers are likely to spread and recur, according to a study published in the American Journal of...
Researchers at the University of Iowa (UI) have received a $1 million grant from the National Science Foundation (NSF) to develop a machine learning platform to train algorithms with data from around...
