The use of a precision medicine tool designed by Cedars-Sinai researchers has led to the development of a blood test that outperforms the only United States Food and Drug Administration (FDA)-approved...
Researchers from the University of California, Los Angeles (UCLA) and the University of California, Irvine (UCI) have developed a repository of surgical outcomes data to help the medical research...
The World Health Organization (WHO) has released new guidance on the governance of large multi-modal models (LMMs) – a type of generative artificial intelligence (AI) – in healthcare.
The...
Yale researchers have found that the predictive algorithms used to forecast treatment efficacy and guide personalized medicine efforts have limited effectiveness when generalized to patient cohorts...
A research team from Johns Hopkins Children’s Center has found that an autonomous artificial intelligence (AI) tool to screen youth populations for diabetic eye disease (DED) can also increase...
Researchers from Children’s National Hospital have developed a deep learning (DL) to detect latent rheumatic heart disease (RHD) in children, which may improve case identification and treatment...
Researchers from the University of Massachusetts (UMass) Amherst have received a two-year, $278,118 grant from the National Institutes of Health (NIH) to build deep learning models for the early...
Researchers from Mass General Brigham have found that specialized large language models (LLMs) can identify under-documented social determinants of health (SDOH) in electronic health records (EHRs),...
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...
Researchers have developed a risk score to predict intensive care unit (ICU) admission and ICU survival among community-dwelling older adults, according to a study published in Health Science...
A research team from the Icahn School of Medicine at Mount Sinai has developed an artificial intelligence (AI) tool to help predict which cardiovascular patients are at increased risk for poor right...
Researchers from the Perelman School of Medicine at the University of Pennsylvania have developed an artificial intelligence (AI)-based medical imaging technique capable of analyzing the gene activity...
Researchers at Case Western Reserve University have received a four-year, $1.1 million grant from the National Science Foundation (NSF) to develop an artificial intelligence (AI) approach to make...
A panel of experts convened by the Agency for Healthcare Research and Quality (AHRQ) and the National Institute on Minority Health and Health Disparities (NIMHD) to address the issue of algorithmic...
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...
As health data interoperability becomes an increasingly pressing concern for providers, developers and vendors are paying a great deal more attention to the data standards that will enable seamless,...
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 from the Smidt Heart Institute at Cedars-Sinai, Stanford University, and Columbia University have developed and validated a deep learning (DL) model capable of predicting postoperative...
Researchers from Beth Israel Deaconess Medical Center (BIDMC) found that the large language model (LLM) ChatGPT-4 outperforms clinicians in some instances of estimating the probabilities of diagnoses...
