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...
Organ transplants represent one of many revolutionary advancements within the field of medicine over the past century. Since the first successful human kidney transplant in 1954, the number of treatment options for once life-threatening or...
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 study published recently in Cancer Prevention Research identified seven risk factors for early onset colorectal cancer in males under the age of 50, which researchers posit may improve adherence to...
Researchers have shown that omitting race and ethnicity as predictors in colorectal cancer recurrence risk prediction models may be associated with racial and ethnic biases that contribute to health...
Using data from a Chinese hospital, researchers from the University of California, Riverside (UCR), found that a machine learning (ML) approach could assess patient age, weight, and other illnesses to...
Researchers have developed a health informatics tool capable of detecting antibiotic allergy adverse events in near real-time, which may help provide clinicians with feedback about the harms of...
In pursuit of improved care and outcomes, Tampa General Hospital (TGH) began using an artificial intelligence (AI) system from Navina as a tool for handling patient data, according to a press release...
New Jersey-based accountable care organization Shore Quality Partners will incorporate Spatially Health’s cloud-based health equity platform to flag and tackle social determinants of health...
Northwestern University researchers found that secondary bacterial pneumonia was a major driver of COVID-19 deaths in critically ill patients following a machine learning (ML)-based analysis of medical...
Researchers from the California Institute of Technology (Caltech) and the University of Southern California (USC) Keck School of Medicine have developed an artificial intelligence (AI) system designed...
Published in the International Journal of Epidemiology, a new UCLA study describes how a machine-learning technique known as “casual forest” could determine the hypertension patients that...
Using KelaHealth’s Surgical Intelligence Platform, the Advocate Aurora Research Institute aims to combine the capabilities of artificial intelligence (AI) and machine learning (ML) to determine...
A study published last month in JAMA Network Open described a new machine learning (ML) tool that may assist clinicians in identifying older adults with advanced cancer who are at higher risk of...
A study published earlier this month in JAMA Network Open demonstrates that a newly-developed multimodal model using brain function information and other risk factors can improve the prediction of...
Researchers from Utica University recently leveraged socioeconomic data to gain insights into generational poverty and other health equity barriers that impact patients’ ability to prioritize...
Researchers have found that natural language processing (NLP) tools can predict the survival of patients with cancer using their initial oncologist consultation document without additional data,...
Cerebral aneurysms, also known as intracranial or brain aneurysms, present a unique challenge for clinicians, as most are small dilations that occur at weak points along the arteries of the brain and have no symptoms. However, as the...
The National Institutes of Health (NIH) has awarded researchers from Cleveland Clinic and MetroHealth a $3.14 million grant to use digital twins to better understand and address health...
