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...
As the new year begins, health systems are gearing up for new opportunities and challenges in the year ahead. For many, top priorities from last year — such as establishing analytics infrastructure, deploying predictive analytics,...
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...
As health systems work to address challenges caused or worsened by the COVID-19 pandemic, such as health inequity and chronic disease management hurdles, many are turning to data analytics and artificial intelligence (AI)...
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...
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)...
In October, President Joe Biden signed the Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (AI). The order establishes guardrails focused on promoting safety and security, protecting...
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...
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...
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...
Artificial intelligence (AI) is a hot topic in healthcare as stakeholders work to assess how these tools can be used to drive improvements in areas like clinician burnout, population health, and precision medicine.
As health systems begin...
A novel normative framework for healthcare artificial intelligence (AI), described in a recent issue of Patterns, asserts that medical knowledge, procedures, practices, and values should be considered...
The American Medical Association (AMA) issued new principles to guide the development, deployment and use of augmented intelligence (AI) in healthcare, according to a press release shared with...
Researchers from the UCLA Health Jonsson Comprehensive Cancer Center have created an artificial intelligence (AI) model that can successfully predict cancer survival outcomes by analyzing epigenetic...
