Researchers have developed and validated a predictive model capable of identifying late postpancreatectomy hemorrhage (PPH) risk in patients with postoperative pancreatic fistula (cr-POPF) following...
Researchers have developed a deep neural network-based model to predict the most successful antihypertensive treatment for an individual, according to a study published recently in Mayo Clinic...
Predictive models using self-report and proxy data can accurately forecast need for nursing home level of care (NHLOC) in community-dwelling older adults with dementia, according to a study published...
Researchers from Brigham and Women’s Hospital have determined that a large language model (LLM) may be more accurate at identifying patients with postpartum hemorrhage than standard methods,...
A deep learning model can accurately identify non-smokers at high risk for lung cancer using only routine chest X-rays, according to research presented at this year’s meeting of the Radiological...
Researchers from Northwestern University have developed an artificial intelligence (AI) tool that may be able to spare breast cancer patients unnecessary chemotherapy treatments by using cell patterns...
Researchers from the UCLA Health Jonsson Comprehensive Cancer Center have created an artificial intelligence (AI) model that can successfully predict cancer survival outcomes by analyzing epigenetic...
Emory University will launch the Emory Empathetic AI for Health Institute (Emory AI.Health) later this month, which will support the development of artificial intelligence (AI) and predictive analytics...
Artificial intelligence (AI) and deep learning tools may be capable of accurately detecting heart valve disease and predicting the risk of cardiovascular disease events, according to two preliminary...
Researchers have demonstrated that a risk-based lung cancer screening model may reduce racial and ethnic disparities and improve screening efficiency compared to national lung cancer screening...
According to research presented at the American College of Surgeons (ACS) Clinical Congress 2023, a machine learning (ML) tool can accurately estimate patient-specific prognoses for thyroid,...
Researchers from the Smidt Heart Institute at Cedars-Sinai demonstrated that a deep learning (DL) algorithm can accurately detect signs of atrial fibrillation in patients without symptoms, according to...
Researchers at Vanderbilt University Medical Center (VUMC) have developed an artificial intelligence (AI) tool capable of accurately identifying the risk of blood clots in pediatric patients, but found...
Researchers from Harvard Medical School (HMS) and the University of Oxford have developed an artificial intelligence (AI) tool capable of predicting how a virus could evolve to escape the immune...
Researchers from the Mount Sinai Icahn School of Medicine and the University of Michigan have found that the deployment of predictive analytics tools may influence the predictive capabilities of...
Researchers from the University at Buffalo (UB) have demonstrated that a tool originally designed to predict a patient’s risk level for various addictions using genetic and psychosocial factors...
Researchers at University of Florida (UF) Health have been awarded a $2.8 million grant from the National Institutes of Health (NIH) to develop an artificial intelligence (AI)-based clinical decision...
Researchers from the University of North Carolina (UNC) Department of Surgery, the Joint UNC-North Carolina State University (NCSU) Department of Biomedical Engineering, and the UNC Lineberger...
Researchers at the University of Texas at Arlington (UTA) have been awarded a $450,000 grant from the National Institute of General Medical Sciences to develop a machine learning-based model to predict...
Accountable care organizations (ACOs) play a critical role in shifting the healthcare system toward value-based care, but population health management and care coordination initiatives require ACOs to invest in new technologies to achieve...
