Pharmacy Times July 10, 2024
Luke Halpern, Assistant Editor

The RECTIFIER framework was able to screen patients with heart failure more accurately and with a cheaper cost than traditional screening methods.

Large language models (LLMs) featuring generative artificial intelligence (AI) can rapidly and accurately screen patients with heart failure (HF) for eligibility in clinical trials, which could make it cheaper and faster to evaluate new treatments and bring successful ones to patients, according to a study published in the New England Journal of Medicine AI.1

Screening patients for clinical trials is an essential step in the trial process. The process is traditionally manual and relies on the diligence and judgement of study staff, which can be prone to human error and necessitates substantial time and resources.1

LLMs such as...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Clinical Trials, Patient / Consumer, Technology, Trends
AI tool helps find life-saving medicine for rare disease
Report: AI controls growing VC attention in Europe
Affineon Health Raises $5M for AI-Powered Physician Inbox Management
Will biased AI ruin everything?
Sam Altman’s Fusion Power Startup Is Eyeing Trump’s $500 Billion AI Play

Share This Article