Research from Bain and Company indicated that although health executives acknowledge the capabilities of artificial intelligence (AI), many struggle with prioritization. This led researchers to create...
A new study from the University of California, Riverside (UCR) indicated that Google and ChatGPT contained positive features such as up-to-date and nonbiased information. When used effectively, these...
According to a new study, using clinical decision support (CDS) tools in various care quality metrics, such as aspirin use and blood pressure control, did not reduce healthcare disparities among...
Researchers at Emory University have validated a deep learning (DL) model capable of detecting early warning signs of diabetes using routinely collected chest radiographs and electronic health record...
A new study found that although the use of the Deterioration Index (DTI) within the hospital setting provided modest results, it inconsistently s handled various demographic groups. Researchers...
A new study effectively detects those at the highest risk of domestic violence re-offenses. This data would be valuable in allocating treatment toward malleable risk factors among high-risk...
According to a new study, an artificial intelligence (AI) can assess non-contrast low-dose CT chest scans for cancer screenings and predict outcomes such as lung cancer, cardiovascular disease (CVD),...
Insight from “Buyer Mindsets: Health Technology Perspectives from Clinical and Clinical IT Leaders,” a new InfoBrief from the IDC, indicated that 88 percent of US providers intend to...
A new study described that despite the continued threat of infectious diseases on public health, the capabilities of artificial intelligence (AI) and machine learning (ML) can help handle this issue...
Using an algorithm, Weill Cornell Medicine researchers discovered that the period from 2010 to 2018 resulted in a 43 percent increase in physician turnover, highlighting the need to determine the...
Supported by funding from the National Institutes of Health (NIH), a collaborative effort between UC San Diego, Washington University, and other organizations led to the creation of an atlas tool...
After receiving funding from Scott and Debby Rechler, Northwell Health and the Feinstein Institutes are using artificial intelligence (AI) to create the Center for Health Outcomes under the Institute...
In a research letter published last week in JAMA Ophthalmology, researchers demonstrated that ChatGPT-4 provided correct responses to 84 percent of a sample of multiple-choice questions from...
Researchers at the Icahn School of Medicine at Mount Sinai have developed an artificial intelligence (AI) model to predict which medicines and preclinical compounds may cause birth defects.
The model,...
Researchers from New York University’s (NYU) Grossman School of Medicine and Tandon School of Engineering demonstrated that ChatGPT’s responses to healthcare-related queries were nearly...
A deep learning (DL) model has been developed and validated to estimate cardiac function and valvular disease using chest radiographs, according to a study published this month in The Lancet Digital...
A study published last month in Therapeutic Advances in Gastroenterology demonstrated that a deep learning (DL) model can predict the need for biological therapy using capsule endoscopy (CE) videos of...
Emory University School of Medicine and Georgia Institute of Technology (Georgia Tech) researchers used natural language processing (NLP), a type of artificial intelligence (AI), to enhance COVID-19...
Researchers have developed a machine learning (ML) model that can accurately predict risk of posttraumatic stress disorder (PTSD) prior to United States military deployment, according to a study...
Developed by scientists at Harvard Medical School, an artificial intelligence (AI)-based tool can help guide surgical practices by decoding the DNA of a brain tumor during surgery, providing useful...
