A research team from the University of Michigan has developed a machine learning tool capable of accurately predicting death, major bleeding events, and the need for blood transfusion in patients...
The use of a precision medicine tool designed by Cedars-Sinai researchers has led to the development of a blood test that outperforms the only United States Food and Drug Administration (FDA)-approved...
Researchers from the University of California, Los Angeles (UCLA) and the University of California, Irvine (UCI) have developed a repository of surgical outcomes data to help the medical research...
Yale researchers have found that the predictive algorithms used to forecast treatment efficacy and guide personalized medicine efforts have limited effectiveness when generalized to patient cohorts...
Researchers from the University of Massachusetts (UMass) Amherst have received a two-year, $278,118 grant from the National Institutes of Health (NIH) to build deep learning models for the early...
Researchers have developed an individual risk prediction model for multiple myeloma, which could significantly enhance prognosis and treatment, according to a study published this week in the Journal...
Researchers have developed a risk score to predict intensive care unit (ICU) admission and ICU survival among community-dwelling older adults, according to a study published in Health Science...
A research team from the Icahn School of Medicine at Mount Sinai has developed an artificial intelligence (AI) tool to help predict which cardiovascular patients are at increased risk for poor right...
Researchers from the Smidt Heart Institute at Cedars-Sinai, Stanford University, and Columbia University have developed and validated a deep learning (DL) model capable of predicting postoperative...
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,...