University of California Davis researchers have received a $15 million, five-year grant renewal from the National Cancer Institute (NCI) to fund artificial intelligence (AI) projects aimed at improving...
Artificial intelligence (AI) supported a clinical trial focused on assessing treatment methods for a rare genetic disease known as activity-dependent neuroprotective protein (ADNP) syndrome.
ADNP...
Maryland-based MedStar Health and precision medicine technology company Zephyr AI, Inc., have announced a partnership focused on developing artificial intelligence (AI)-enabled precision medicine tools...
Researchers at the University of Houston (UH) have developed an artificial intelligence (AI)-based clinical decision support tool that leverages deep learning (DL) to predict which patients are more...
Researchers from New York University’s Machine Learning for Good Laboratory (ML4G Lab), Carnegie Mellon University, and the New York City Department of Health and Mental Hygiene (NYC DOHMH) have...
Mayo Clinic and healthcare diagnostics company Numares Health announced an expansion of their partnership focused on developing artificial intelligence (AI)-enabled diagnostic testing for patients with...
A recent Mayo Clinic study found that the use of an artificial intelligence (AI)-enabled screening tool displayed the ability to assist providers while diagnosing low left ventricular ejection...
A new study published in JAMA Network Open found that adding continuous intraoperative data to routinely collected perioperative data used by machine learning (ML)-based mortality prediction models...
Pennsylvania-based Temple University Health System (Temple Health) and artificial intelligence (AI) healthcare solution company Aidoc have partnered to use AI to reduce the length of stay and cost of...
An artificial intelligence (AI)-based method developed by researchers from Massachusetts General Hospital (MGH) can help identify early-stage melanoma patients at risk for cancer recurrence and assist...
A new study published in JAMA Network Open last week described how a machine-learning (ML) tool accurately identified a set of biomarkers for neonatal opioid withdrawal syndrome (NOWS) using newborn...
A new study published this month in JAMA Network Open found that an automated natural language processing (NLP) tool relying on clinical notes and EHR data achieved similar predictive performance to a...
A team of Yale University researchers has developed a machine learning (ML)-based clinical decision support tool to personalize recommendations for pursuing intensive or standard blood pressure...
Researchers in the Division of Artificial Intelligence in Medicine at Cedars-Sinai have developed artificial intelligence (AI) models that improve quality and accuracy in heart imaging, predicting...
A research team from the University of Iowa is developing a device that leverages artificial intelligence (AI) to perform simple radiology tasks and procedures in an effort to supplement staff and...
A study conducted by ECOG-ACRIN Cancer Research Group found that using a deep-learning algorithm that leverages standard computed tomography (CT) scan images showed promise in assessing cancer spread...
A research team from the University of Pittsburgh (Pitt) Swanson School of Engineering has been awarded a $1.7 million National Institutes of Health grant to develop a federated learning (FL)-based...
A research team from University of Florida (UF) Health and the University of Pennsylvania Perelman School of Medicine (Penn Medicine) have announced that they will develop a set of predictive analytics...
A study published this month in the Journal of Medical Systems shows that a deep learning (DL)-based mobile application can accurately identify monkeypox infection using images of skin lesions.
On...
Memorial Sloan Kettering Cancer Center’s (MSK) Innovation Hub and Realyze Intelligence, a UPMC Enterprises portfolio company, have launched a collaboration that aims to use real-world,...
