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...
De-identified data has become an important tool in medical research and for providers looking to enhance patient care. While data sharing between different organizations could violate the Health...
In what seems like the blink of an eye, mentions of artificial intelligence (AI) have become ubiquitous in the healthcare industry.
From deep learning algorithms that can read computed...
The Kaiser Permanente Augmented Intelligence in Medicine and Healthcare Initiative (AIM-HI) Coordinating Center has awarded grant funding to five projects that explore how artificial intelligence (AI)...
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...
The number of artificial intelligence (AI) and machine learning (ML)-enabled medical devices authorized by the United States Food and Drug Administration (FDA) has risen in recent years as healthcare organizations have become increasingly...
Researchers from the University of Georgia’s College of Public Health (UGA Public Health) demonstrated that clinical decision rules (CDRs) for influenza may be less accurate in a telemedicine...
Researchers from University of Florida (UF) Health have demonstrated that a combination of machine learning (ML) and liquid chromatography-high resolution mass spectrometry (LC-HRMS) can help make...
Researchers from the McWilliams School of Biomedical Informatics at UTHealth Houston were awarded over $31 million for 16 projects aimed at driving innovations in healthcare artificial intelligence...
Researchers at Johns Hopkins Medicine have developed a machine learning (ML) tool capable of estimating the percent necrosis (PN)—the percentage of a tumor that is considered “dead”...
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 at Mount Sinai have developed an artificial intelligence (AI) tool that can estimate histopathological brain age, predict age at death, and identify areas of the brain vulnerable to...
Mayo Clinic Platform_Accelerate has announced its fourth cohort of health tech startups to participate in the program, which is designed to support the validation and clinical readiness of each...
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 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...
Researchers demonstrated that a machine learning (ML) model could effectively predict short- and long-term suicidal ideation in sexual and gender minority individuals using ecological momentary...
The Centers for Disease Control and Prevention (CDC) awarded roughly $262.5 million in grant funding over the next five years to 13 institutions to help establish a national infectious disease and...
Machine learning (ML) may help define personalized temperature norms and improve the clinical utility of oral temperature measurements, according to a study published this month in JAMA Internal...
Researchers at the University of Michigan have developed a machine learning (ML) model to help optimize therapeutic antibodies and make them less prone to binding non-target molecules, according to a...
Researchers at Yale School of Medicine have developed a deep learning (DL) approach that can accurately detect aortic stenosis by analyzing heart ultrasound scans, according to a study published last...