To enhance the process of identifying medical issues in patients after operations, two researchers from the University of Pittsburgh and UPMC created a machine-learning (ML) model trained on data from...
Researchers at the University of Pittsburgh Medical Center (UPMC) have developed a machine learning (ML) tool capable of using electrocardiogram (ECG) readings to detect and classify heart attacks more...
Driven by its mission of using artificial intelligence (AI)-enhanced technology to support healthcare among older adults, the Massachusetts AI and Technology Center for Connected Care in Aging and...
A study published recently in Cancer Prevention Research identified seven risk factors for early onset colorectal cancer in males under the age of 50, which researchers posit may improve adherence to...
A new predictor-informed distribution model that leverages artificial intelligence, developed by researchers at OSF Healthcare and the OSF Innovation group, eased the workflow of cancer patient...
During the 83rd Scientific Sessions held by the American Diabetes Association (ADA) in San Diego, California, over the weekend, researchers presented studies detailing advancements in diabetes care...
Researchers from Mass General Brigham have shown that ChatGPT and other large language models (LLMs) may be able to accurately identify appropriate imaging tests for certain clinical presentations,...
In collaboration with various health and research organizations, the National Academy of Medicine (NAM) established an Artificial Intelligence Code of Conduct (AICC) to support the effective and...
Researchers at the University of Southern California (USC) Roski Eye Institute are exploring how the use of artificial intelligence (AI) in ophthalmology may help automate clinical tasks, allocate...
Researchers evaluating an artificial intelligence (AI) model’s ability to estimate prostate cancer extent and define focal treatment margins for tumors demonstrated that the model outperformed...
Researchers at Washington University in St. Louis are investigating how deep learning (DL) tools to “denoise,” or clean up, medical images impact the clinical utility of those...
With a total slightly exceeding $1 million, a funding round from the Johns Hopkins Artificial Intelligence and Technology Collaboratory for Aging Research (JH AITC) provided several projects with...
A study published last week in JAMA Network Open demonstrated that four widely used predictive models for estimating ten-year dementia risk have limited clinical value and utility, indicating that more...
In a recent study published in JAMA Network Open, researchers found that ChatGPT consistently provided evidence-based responses to public health questions but often gave advice rather than directing...
Researchers from Beth Israel Deaconess Medical Center (BIDMC) demonstrated that generative artificial intelligence (AI) technologies, such as ChatGPT, may serve as promising assistive tools for...
Using data from a Chinese hospital, researchers from the University of California, Riverside (UCR), found that a machine learning (ML) approach could assess patient age, weight, and other illnesses to...
Researchers have developed a deep learning (DL) model capable of recognizing standardized surgical fields and performing automatic surgical skill assessments using intraoperative videos of laparoscopic...
A study published last week in Urology Practice demonstrated that ChatGPT performed poorly on the 2022 American Urological Association (AUA) Self-assessment Study Program exam, indicating that the tool...
A study published recently in JAMA Network Open shows that the Gun Violence Archive (GVA), an independent data collection group, may be a limited, but valid source of data for researchers investigating...
Researchers at New York University (NYU) Grossman School of Medicine have developed a large language model (LLM) capable of predicting multiple clinical outcomes, including readmissions, and the tool...
