Researchers at the University of Pittsburgh Medical Center (UPMC) have developed a machine learning (ML) tool capable of using electrocardiogram (ECG) readings to detect and classify heart attacks more...
During the American Society of Echocardiography’s (ASE) 34th Annual Scientific Sessions, researchers highlighted how artificial intelligence (AI) may enhance cardiovascular imaging by helping...
Researchers from Beth Israel Deaconess Medical Center (BIDMC) demonstrated that generative artificial intelligence (AI) technologies, such as ChatGPT, may serve as promising assistive tools for...
Researchers from Mount Sinai have developed deep learning (DL)-based model for electrocardiogram (ECG) analysis that enables the interpretation of ECGs as language and may improve ECG-related...
Researchers from the University of Arizona (UArizona) Health Sciences found that patients are almost evenly split about whether they would prefer a human clinician or an artificial intelligence...
The Permanente Medical Group launched the Kaiser Permanente Northern California Division of Research (KP-DOR) Augmented Intelligence in Medicine and Healthcare Initiative (AIM-HI) Coordinating Center,...
Researchers from Boston University and Australia-based University of New South Wales (UNSW Sydney) developed a machine learning (ML) tool that predict Parkinson’s disease onset years before...
Researchers from Cedars-Sinai have shown that an artificial intelligence (AI) tool’s performance was superior to that of sonographers when assessing and diagnosing cardiac function, according to...
Published in JMIR, new research found that the use of artificial intelligence (AI) to diagnose, predict risks of, differentiate, and segment pancreatic cancer led to high levels of accuracy,...
The Icahn School of Medicine at Mount Sinai and Rensselaer Polytechnic Institute (RPI) Center for Engineering and Precision Medicine (CEPM) hosted its grand opening last week, solidifying a partnership...
North Carolina-based Atrium Health Wake Forest Baptist has implemented artificial intelligence (AI) and robotics tools to help clinicians predict and diagnose lung cancer to improve early...
New research published in Nature Medicine showed that an artificial intelligence (AI)-based diagnostic screening system known as DeepGlioma can use rapid imaging to detect genetic mutations in...
In a recent article published by the American Association for Clinical Chemistry (AACC), Sarah Wheeler, PhD, an associate professor of pathology at the University of Pittsburgh School of Medicine,...
A systematic review published last week in JAMA Network Open evaluating potential risks of translating neuroimaging-based artificial intelligence (AI) models into direct clinical applications, such as...
Researchers at the University of Houston have received a $933,812 grant from the National Cancer Institute (NCI) to develop a computational framework to support collaboration between radiology teams...
Recent research from Rutgers, the State University of New Jersey, described how artificial intelligence (AI) and machine learning (ML) could be used to examine genes within DNA, information that can...
New Jersey-based AtlantiCare is deploying pre-operative artificial intelligence (AI) assessment tools and robotic bronchoscopy techniques to support early lung cancer diagnosis and treatment.
The...
A recent study from Stanford University Human-Centered Artificial Intelligence (Stanford HAI) described the creation of a machine-learning framework, known as POPDx, that aims to enhance the rare...
A study published last week in JAMA Network Open describes how a set of EHR data-based predictive analytics tools can detect early autism using patient data collected before 1 year of age.
According...
George Mason University researchers have highlighted how artificial intelligence (AI) can help in the diagnosis of COVID-19 through a series of five papers published in the Journal of Quality...
