Objectives We validate a machine learning-based sepsis-prediction algorithm (InSight) for the detection and prediction of three sepsis-related gold standards, using only six vital signs. We evaluate ...

To develop and internally validate a machine learning (ML) model that identifies older outpatients with MCI using routine electronic health record (EHR) data. We conducted a retrospective ...

Patients with myelodysplastic syndromes (MDS) exhibit diverse disease trajectories necessitating different clinical approaches ranging from watch-and-wait strategies to hematopoietic stem cell ...

Claire Price, a PhD student in health sciences, has been focusing on quantifying weight loss prior to pancreatic cancer diagnosis, to help improve early detection while embracing the principles of ...

Background Exclusion of coronary stenosis in individuals with suggestive symptoms is challenging. Cardiac CT or coronary angiography is often used but is inefficient and costly and involves risks. Sex ...

Telework has become part of the daily life of many radiologists worldwide, but it’s not as straightforward as it sounds. Radiology was an early adopter of digital workflows, transitioning from ...

This model was trained and tested on a 70%/30% split (train/test result cohort), achieving an area under the receiver operator curve on the test set of 0.866 (95% CI, 0.857 to 0.875). Assigning a ...

Poor immunity can make a person more susceptible to infections, leading to frequent illnesses such as colds, flu, and other infections. A weak immune system struggles to fight off harmful bacteria, ...

Childcare provider Ariél Pino sings “Five Little Monkeys” with a group of toddlers at Little Bears Early Learning Center in Girdwood in 2023. The state of child care in Alaska is in crisis, with ...

We hypothesized that analysis of serial ECGs could predict new‐onset atrial fibrillation (AF) more accurately than analysis of a single ECG by detecting the subtle cardiac remodeling that occurs ...

In a world where we're 99.5% genetically identical, somehow skin color still decides who gets a spot on the kidney transplant list. (Because why fix something when it's clearly broken?) My ...