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...
The Coalition to End Racism in Clinical Algorithms (CERCA), a New York City Health Department-led effort to investigate the use of race-based medical algorithms, is expanding its work to include...
At the 2023 Office of the National Coordinator for Health Information Technology (ONC) Annual Meeting, 28 health systems and payers signed a pledge to advance the ethical and responsible use of...
A new survey published by the American Medical Association (AMA) shows that clinicians are enthusiastic but cautious about augmented intelligence — also known as artificial intelligence (AI)...
Google announced the launch of MedLM, a suite of foundation models designed to help healthcare organizations meet their needs through generative artificial intelligence (AI), according to a blog post...
Researchers have developed and validated a predictive model capable of identifying late postpancreatectomy hemorrhage (PPH) risk in patients with postoperative pancreatic fistula (cr-POPF) following...
Researchers have developed a deep neural network-based model to predict the most successful antihypertensive treatment for an individual, according to a study published recently in Mayo Clinic...
Stakeholders from the University of California (UC), Berkeley launched the Agile Metabolic Health project this week, an effort to enhance the treatment of diabetes and other metabolic disorders through...
Predictive models using self-report and proxy data can accurately forecast need for nursing home level of care (NHLOC) in community-dwelling older adults with dementia, according to a study published...
A systematic review and meta-analysis of randomized clinical trials (RCTs) published last week in eClinicalMedicine showed that artificial intelligence (AI)-aided colonoscopy may enhance the detection...
Researchers from Brigham and Women’s Hospital have determined that a large language model (LLM) may be more accurate at identifying patients with postpartum hemorrhage than standard methods,...
A deep learning model can accurately identify non-smokers at high risk for lung cancer using only routine chest X-rays, according to research presented at this year’s meeting of the Radiological...
