Using a predictive analytics tool, researchers from the University of California, Irvine (UCI) were able to discover previously undetected genes that drive cancer progression, according to a study...
A real-time clinical decision support system issues alerts to specially trained nurses when patients are at risk of deteriorating, potentially leading to lower mortality rates, according to a study...
A predictive analytics model examined human mobility patterns in major cities across the US and revealed that non-residential locations – such as restaurants, gyms, and cafes – account for...
Machine learning models can predict the likelihood of critical illness or mortality in COVID-19 patients, which could help clinicians better care for and manage individuals infected with the virus,...
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...
To learn more about how socioeconomic factors impact heart health, researchers are increasingly leveraging big data analytics technologies and examining social determinants data at the individual and...
Researchers in Carnegie Mellon University’s Robotics Institute were able to use machine learning technology to reduce food insecurity in Pennsylvania communities during the pandemic.
The team...
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...
A predictive analytics system was able to use location data to foresee flu outbreaks, outperforming other state-of-the-art forecasting tools with an eleven percent increase in accuracy.
The tool,...
Natural language processing tools can analyze pathology reports and identify individuals with HPV-related cancers, improving disease surveillance and treatment, according to a study published in JMIR...
Researchers may be able to use artificial intelligence to distinguish asymptomatic individuals from healthy people, resulting in a noninvasive screening tool for providers, a study published in IEEE...
Eighty-three percent of healthcare organizations have implemented an artificial intelligence strategy, while another 15 percent are planning to develop one, according to a recent survey conducted by...
A machine learning model was able to predict 90-day hospital readmissions with 85 percent accuracy, according to a study published in Health Services Research and Managerial Epidemiology....
Mayo Clinic and Google Health have announced a partnership to develop artificial intelligence that can help accelerate the process of planning radiotherapy treatments, leading to more efficient cancer...
In order to provide holistic, quality care for patients, clinicians have to address the non-clinical factors that influence overall wellness – individuals’ social determinants of...
A predictive analytics tool has helped public health leaders in Chicago improve the quality of COVID-19 data, reducing the category of “unknown” race in tests from 47 percent to 11...
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...
