Algorithm

DENVER – A machine-learning seizure burden monitoring algorithm was able to predict the level of poor functional outcomes in those with neurological conditions, according to new research.

Using an electronic health record algorithm and practice facilitators in primary care did not reduce hospitalizations in adults with chronic kidney disease, type 2 diabetes and hypertension, according to results of a study.

In this Healio Video Perspective, Cynthia A. Matossian, MD, FACS, and David Evans, PhD, MBA, discuss recent changes to Google’s algorithm that may impact the precision of pay-per-click advertising campaigns.

ATLANTA — An expert panel at SECO 2024 agreed that artificial intelligence will have a role in patient care but will not replace the human component.

A reexamination of factoring race into clinical equations for patient care will require changes at each step of the algorithm life cycle, according to an expert.

A Bay Area neurotechnology firm has announced the commercial release of a novel artificial intelligence-based software algorithm that continuously monitors brain activity of those with electrographic status epilepticus.

Patient data collected through claims and electronic heath records may help identify individuals with mild cognitive impairment in primary care, according to a poster presented at the Alzheimer’s Association International Conference.

I am a retina specialist, so I am obviously partial to retinal diseases. However, I think we have already made a lot of headway in developing machine learning models for identifying diseases in the retina, and we are on our way to do more.

NEW ORLEANS — A machine learning algorithm was able to differentiate between basal cell and squamous cell carcinomas by identifying biomarkers, according to a poster presented here.

VILAMOURA, Portugal — An AI algorithm based on the Corvis ST dynamic corneal response parameters showed the ability to predict glaucomatous visual field progression 1 month after treatment with prostaglandin analogs.