New research shows that machine-learning (ML) tools can use perioperative data to accurately predict post-operative complications and surgery duration.
Surgery and its potential complications create...
Rice University’s National Library of Medicine Training Program (NLMTP) in Biomedical Informatics and Data Science has been awarded a $4.16 million grant to extend its program, which focuses on...
A proof-of-concept study published in the American Journal of Roentgenology shows that machine learning (ML) models can predict tumor recurrence in patients with early-stage hepatocellular carcinoma...
New research from the University of Chicago’s Pritzker School of Molecular Engineering (PME) shows that a flexible, stretchable computing chip worn directly on the skin can collect and analyze...
Researchers at Harvard and the University of Washington School of Medicine (UW Medicine) have developed an artificial intelligence (AI) software that uses deep learning to design proteins with various...
Researchers have developed a machine learning (ML) model capable of estimating national weekly opioid overdose mortality trends in near real-time using proxy data sources such as public health...
A new study published in the Journal of Medical Internet Research shows that machine-learning (ML) models can effectively predict the risk of postpartum hemorrhage using data pulled from de-identified...
A Mayo Clinic-led study published in Gastroenterology shows that radiomics-based machine-learning (ML) models may help diagnose pancreatic cancer at an earlier, more treatable stage than standard...
NewYork-Presbyterian, with physicians from its affiliated medical schools, Weill Cornell Medicine and Columbia University Vagelos College of Physicians and Surgeons (Columbia University VP&S), is...
A new study published in BMC Medical Research Methodology highlights how researchers developed and trained machine-learning (ML) models that can accurately predict 30-day mortality in patients with...
A study published in Mayo Clinic Proceedings shows that machine-learning (ML) models can assist healthcare workers with differentiating between alcohol-associated hepatitis and acute cholangitis using...
A study published in Scientific Data earlier this month showcases how researchers developed a dataset of simulated medical conversations focused on respiratory conditions to support the development and...
A new study published in Scientific Reports shows that a federated learning algorithm designed to train artificial intelligence (AI) on globally distributed, decentralized, and poor-quality medical...
A new report from KLAS Research found that a majority of healthcare organizations reported better and faster processes, improved clinician and patient experience, and reduced costs while using Amazon...
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...
The Ohio State University Colleges of Nursing and Engineering are working together to launch a new project called ‘Disrupting Nursing Education with XR, AI and ML,’ which aims to better...
Researchers have developed and validated a machine-learning (ML) model that can accurately predict opioid overdose risk in Medicaid beneficiaries in Pennsylvania and Arizona, indicating that the model...
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...
Researchers at Memorial Sloan Kettering Cancer Center (MSK) have created a tool that can sniff for and identify cancer in blood samples using machine learning.
Like the human nose, the tool uses...
Researchers have developed a prediction model that can convert coronavirus-related free text information from EMRs into symptom-based data.
In a study published in JMIR Medical Informatics,...
