A study led by New York University (NYU) researchers created an artificial intelligence tool to improve the accuracy of breast cancer imaging. The computer program was trained to identify patterns...
Despite revised guidelines for lung cancer screening eligibility, health disparities among racial and ethnic minorities are persisting, according to the Radiological Society of North America.
In 2014,...
Stress due to social determinants of health can increase an individual’s risk of heart disease, according to the American Heart Association.
Studies have indicated that cumulative exposure to...
A commonly used predictive analytics model that forecasts lung cancer risk underperforms in Black populations, suggesting the need for improved screenings and guidelines.
In a study published in JAMA...
Researchers from Michigan Medicine have developed a predictive analytics model that can accurately identify patient deterioration for both general ward and COVID-19 patients.
The algorithm was more...
Statistical suicide risk prediction models could be implemented cost-effectively in healthcare organizations and may help save many lives each year, according to a study published in JAMA...
A machine learning tool can analyze EHR data to calculate suicide attempt risk and help providers know which patients to screen in nonpsychiatric clinical settings, a study published in JAMA Network...
Artificial intelligence can analyze electrical signals from the heart to predict which patients are at high risk of atrial fibrillation (AF) and stroke, according to a study published in...
While most Hispanic and Latino people in the US were aware of their cardiovascular disease risk factors, less than half of stroke survivors in these populations had healthy blood pressure and...
Examining diverse genetic data helped researchers discover a gene variant associated with childhood asthma development, demonstrating the importance of including diverse populations in research,...
Researchers at Thomas Jefferson University have developed a predictive analytics tool that can forecast the risk of post-surgical complications, helping providers to deliver more proactive, preventive...
Genetic data can help improve prostate cancer risk prediction in diverse racial and ethnic groups, leading to more targeted, personalized screenings, according to a study published in Nature...
Of the many truths brought to light during the pandemic, the importance of providers’ voices is among the most consequential.
The experiences and daily operations of frontline healthcare workers...
Researchers at UPMC and the University of Pittsburgh School of Medicine have leveraged machine learning to develop a tool that predicts mortality for patients facing transfer between hospitals in order...
Using predictive analytics algorithms, a universal screening tool can accurately determine an adolescent’s suicide risk and alert providers of which patients are in need of follow-up...
A team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has developed a predictive analytics model that can jointly model a patient’s breast cancer risk...
The Parkland Center for Clinical Innovation (PCCI) has released an app that uses machine learning and real-time data to measure COVID-19 exposure risk in Dallas County residents.
The MyPCI App will...
Machine learning tools identified patterns of maternal autoantibodies indicating the likelihood and severity of autism in children, according to a study published in Molecular Psychiatry.
The team...
A team from UVA Health has developed a predictive analytics tool that can determine COVID-19 patients’ risk of experiencing an adverse event over the next 12 hours.
The tool, called CoMET, uses...
To improve breast cancer risk assessment, providers should perform genetic testing in women who aren’t at high risk of developing the disease, according to a study published in The New England...
