To increase diagnostic accuracy and advance the customizability of treatment for various conditions, Children’s Hospital Colorado (Children’s Colorado) launched the Precision Medicine...
Google Cloud and healthcare technology company CareCloud, Inc. have announced a partnership aimed at supporting operational efficiency and digital transformation for small- and medium-sized healthcare...
A new study described that despite the continued threat of infectious diseases on public health, the capabilities of artificial intelligence (AI) and machine learning (ML) can help handle this issue...
Using an algorithm, Weill Cornell Medicine researchers discovered that the period from 2010 to 2018 resulted in a 43 percent increase in physician turnover, highlighting the need to determine the...
Supported by funding from the National Institutes of Health (NIH), a collaborative effort between UC San Diego, Washington University, and other organizations led to the creation of an atlas tool...
Using data from the UCLA ATLAS Precision Health Biobank, UCLA Health researchers found differences in diagnoses, hospital use, and genetic disease across various populations, which provided them with a...
After receiving funding from Scott and Debby Rechler, Northwell Health and the Feinstein Institutes are using artificial intelligence (AI) to create the Center for Health Outcomes under the Institute...
In a research letter published last week in JAMA Ophthalmology, researchers demonstrated that ChatGPT-4 provided correct responses to 84 percent of a sample of multiple-choice questions from...
After receiving $54 million in funding from the National Institutes of Health (NIH), the Scripps Research Translational Institute aimed to continue to improving precision medicine and limiting health...
Researchers at the Icahn School of Medicine at Mount Sinai have developed an artificial intelligence (AI) model to predict which medicines and preclinical compounds may cause birth defects.
The model,...
Researchers from New York University’s (NYU) Grossman School of Medicine and Tandon School of Engineering demonstrated that ChatGPT’s responses to healthcare-related queries were nearly...
A deep learning (DL) model has been developed and validated to estimate cardiac function and valvular disease using chest radiographs, according to a study published this month in The Lancet Digital...
A study published last month in Therapeutic Advances in Gastroenterology demonstrated that a deep learning (DL) model can predict the need for biological therapy using capsule endoscopy (CE) videos of...
In a recent study published in JAMA Network Open, researchers found discrepancies between the marketing and 510(k) clearance of artificial intelligence (AI)- or machine learning (ML)-enabled medical...
Emory University School of Medicine and Georgia Institute of Technology (Georgia Tech) researchers used natural language processing (NLP), a type of artificial intelligence (AI), to enhance COVID-19...
In a recent study published in BMC Medical Research Methodology, researchers developed multiple algorithms capable of identifying important osteoarthritis (OA) patient subgroups, such as those...
Researchers have developed a machine learning (ML) model that can accurately predict risk of posttraumatic stress disorder (PTSD) prior to United States military deployment, according to a study...
Developed by scientists at Harvard Medical School, an artificial intelligence (AI)-based tool can help guide surgical practices by decoding the DNA of a brain tumor during surgery, providing useful...
Researchers at the Pennsylvania State University (Penn State) have revealed that mobile phone data increasingly used in public health efforts may underrepresent vulnerable populations and magnify...
A new study published last week in Nature Biotechnology demonstrated that a deep learning (DL) tool can predict on- and off-target activity of RNA-targeting CRISPR tools, which may spur the development...
