Rutgers Center for State Health Policy has launched the New Jersey Integrated Population Health Data (iPHD) Project to help address some of the state’s major population health issues, such as the...
The University of Maryland Medicine, the joint enterprise of the University of Maryland School of Medicine (UMSOM), the University of Maryland Medical Center, and the University of Maryland Medical...
A new report from KLAS Research found that healthcare organizations reported better transaction pattern identification, drug diversion detection, and overall efficiency when utilizing drug detection...
Researchers from the National University of Singapore (NUS) have shown that that an artificial intelligence (AI) platform designed to recommend optimal chemotherapy doses from cancer patients achieved...
University of Florida (UF) researchers have developed a machine-learning (ML) platform, called MySurgeryRisk, that can predict surgical complications as accurately as clinicians.
Surgery and potential...
Researchers from the University of Washington’s School of Medicine and the Paul G. Allen School of Computer Science & Engineering have developed an artificial intelligence (AI) framework that...
Researchers have found that a machine learning-based clinical decision support system (CDSS) significantly impacted treatment success and antibiotic prescription behavior for urinary tract infections...
Miami Cancer Institute has partnered with COTA to eliminate disparities by using data and analytics to examine how patient demographics such as ethnicity and area of residence affect the quality of...
An artificial intelligence (AI)-driven system assisted in evaluating bladder cancer patient responses to chemotherapy, a University of Michigan Health Lab study found.
When a patient develops bladder...
A systematic review published in PLOS Digital Health proposed the creation of a unified hospital length of stay (LoS) prediction framework following the analysis of recent developments in LoS...
Though research on machine learning use in medical imaging has grown significantly in recent years, improvements in the clinical use of such data remain limited, according to a study published in npj...
A machine-learning algorithm was able to provide high-risk patients who missed a colonoscopy with information regarding the type of treatment needed, according to a study conducted by Geisinger and...
A machine-learning approach helped clinicians determine how factors such as age, level of care, anesthesia, and ventilation, impact the development of pressure ulcers in inpatient settings, according...
Los Angeles-based Cedars-Sinai has created a new division called Artificial Intelligence in Medicine, with the intention of enhancing clinical care.
Led by Sumeet Chugh, MD, an associate director of...
Rush University System for Health has implemented an artificial intelligence-driven tool for colon cancer screening.
The Medtronic GI Genius intelligent endoscopy system can help increase the ability...
The Ohio State University Comprehensive Cancer Center –Arthur G. James Cancer Hospital and Richard J. Solove Research Institute (OSUCCC - James) have joined Caris Life Science's Precision...
Data analytics indicated that individuals who have had COVID-19 are at increased risk of developing cardiovascular complications, from the first month to a year after the infection, according to...
A data analysis model created by University of Minnesota researchers could identify potential treatments for women facing infertility issues.
Researchers examined data...
According to a study by Massachusetts General Hospital (MGH) researchers, a predictive model can detect early-stage lung cancer from alterations in blood metabolites.
Lung cancer is the leading cause...
According to a study by Arcadia, data analytics shows that current vaccines reduce the risk of long-COVID, even when administered up to 12 weeks after a COVID-19 diagnosis.
Working collaboratively...