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 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...
New data from Deloitte’s 2023 Health Care Consumer Survey indicate that health is a major driver of generative artificial intelligence (AI) use among consumers, many of whom expressed optimism at...
The University of Texas MD Anderson Cancer Center recently launched its Institute for Data Science in Oncology (IDSO), which aims to transform cancer care and research through the application of...
As data analytics becomes more valuable and accessible, health systems are creating leadership roles to reflect this shift. Chief data officer and chief analytics officer roles are becoming more common, but what does such a role...
Researchers from University of California, Los Angeles (UCLA) Health have demonstrated that Generative Pre-trained Transformer 4 (GPT-4) can diagnose and triage various health conditions on par with...
Researchers from Vanderbilt University Medical Center (VUMC) and Duke University School of Medicine have been awarded a $1.25 million grant from the Gordon and Betty Moore Foundation to establish a...
Emory University will launch the Emory Empathetic AI for Health Institute (Emory AI.Health) later this month, which will support the development of artificial intelligence (AI) and predictive analytics...
Artificial intelligence (AI) technologies have garnered much attention in the healthcare industry in recent years, but the hype raises significant questions and concerns.
How should these technologies be developed? For what use cases?...
A team of Northwestern Medicine researchers has created a generative artificial intelligence (AI) tool capable of interpreting chest radiographs with accuracy on par with or above radiologists for some...
Artificial intelligence (AI) and deep learning tools may be capable of accurately detecting heart valve disease and predicting the risk of cardiovascular disease events, according to two preliminary...
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”...
Researchers from Indiana University have been awarded $2.3 million from the National Institutes of Health (NIH) to support the development of open-source, artificial intelligence (AI)-driven tools for...
In a perspective published recently in npj Digital Medicine, researchers led by a team at Duke-National University of Singapore (NUS) Medical School asserted that the pursuit of fair artificial...
Mount Sinai researchers have demonstrated that publicly trained large language models (LLMs) can identify the pain location and pain location of musculoskeletal conditions like shoulder, knee, and...
Today, President Joe Biden signed an executive order on artificial intelligence (AI) that establishes guardrails for the technology to ensure that it is “safe, secure, and trustworthy,”...
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 New York University (NYU) Grossman School of Medicine have demonstrated that a natural language processing (NLP) tool can effectively detect pandemic-related signs of anxiety and...
Researchers from the Smidt Heart Institute at Cedars-Sinai demonstrated that a deep learning (DL) algorithm can accurately detect signs of atrial fibrillation in patients without symptoms, according to...
